{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T08:11:09Z","timestamp":1767773469993,"version":"build-2065373602"},"reference-count":411,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T00:00:00Z","timestamp":1570752000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In the face of rapid global change it is imperative to preserve geodiversity for the overall conservation of biodiversity. Geodiversity is important for understanding complex biogeochemical and physical processes and is directly and indirectly linked to biodiversity on all scales of ecosystem organization. Despite the great importance of geodiversity, there is a lack of suitable monitoring methods. Compared to conventional in-situ techniques, remote sensing (RS) techniques provide a pathway towards cost-effective, increasingly more available, comprehensive, and repeatable, as well as standardized monitoring of continuous geodiversity on the local to global scale. This paper gives an overview of the state-of-the-art approaches for monitoring soil characteristics and soil moisture with unmanned aerial vehicles (UAV) and air- and spaceborne remote sensing techniques. Initially, the definitions for geodiversity along with its five essential characteristics are provided, with an explanation for the latter. Then, the approaches of spectral traits (ST) and spectral trait variations (STV) to record geodiversity using RS are defined. LiDAR (light detection and ranging), thermal and microwave sensors, multispectral, and hyperspectral RS technologies to monitor soil characteristics and soil moisture are also presented. Furthermore, the paper discusses current and future satellite-borne sensors and missions as well as existing data products. Due to the prospects and limitations of the characteristics of different RS sensors, only specific geotraits and geodiversity characteristics can be recorded. The paper provides an overview of those geotraits.<\/jats:p>","DOI":"10.3390\/rs11202356","type":"journal-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T10:53:03Z","timestamp":1570791183000},"page":"2356","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity\u2014Part I: Soil Characteristics"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4490-7232","authenticated-orcid":false,"given":"Angela","family":"Lausch","sequence":"first","affiliation":[{"name":"Department Computational Landscape Ecology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"},{"name":"Geography Department, Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9878-7232","authenticated-orcid":false,"given":"Jussi","family":"Baade","sequence":"additional","affiliation":[{"name":"Institut of Geography, Department of Remote Sensing, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, Germany"}]},{"given":"Lutz","family":"Bannehr","sequence":"additional","affiliation":[{"name":"Department of Architecture, Facility Management and Geoinformation, Institut for Geoinformation and Surveying, Bauhausstra\u00dfe 8, D-06846 Dessau, Germany"}]},{"given":"Erik","family":"Borg","sequence":"additional","affiliation":[{"name":"German Aerospace Center-DLR, German Remote Sensing Data Center\u2013DFD, Kalkhorstweg 53, D-17235 Neustrelitz, Germany"},{"name":"University of Applied Sciences Neubrandenburg, Brodaer Strasse 2, D-17033 Neubrandenburg, Germany"}]},{"given":"Jan","family":"Bumberger","sequence":"additional","affiliation":[{"name":"Department Monitoring and Exploration Technology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8600-5168","authenticated-orcid":false,"given":"Sabine","family":"Chabrilliat","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany"}]},{"given":"Peter","family":"Dietrich","sequence":"additional","affiliation":[{"name":"Department Monitoring and Exploration Technology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"given":"Heike","family":"Gerighausen","sequence":"additional","affiliation":[{"name":"Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Julius K\u00fchn-Institut (JKI), Bundesallee 69, D-38116 Braunschweig, Germany"}]},{"given":"Cornelia","family":"Gl\u00e4sser","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 4, D-06120 Halle, Germany"}]},{"given":"Jorg","family":"Hacker","sequence":"additional","affiliation":[{"name":"Airborne Research Australia, Parafield Airport, SA 5106 and Flinders University, College of Science and Engineering, Adelaide, SA 5000, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4065-5194","authenticated-orcid":false,"given":"Dagmar","family":"Haase","sequence":"additional","affiliation":[{"name":"Department Computational Landscape Ecology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"},{"name":"Geography Department, Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1760-2425","authenticated-orcid":false,"given":"Thomas","family":"Jagdhuber","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR) Microwaves and Radar Institute, Oberpfaffenhofen, D-82234 Wessling, Germany"}]},{"given":"Sven","family":"Jany","sequence":"additional","affiliation":[{"name":"MILAN Geoservice GmbH, Zum Tower 4, D-01917 Kamenz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3250-4097","authenticated-orcid":false,"given":"Andr\u00e1s","family":"Jung","sequence":"additional","affiliation":[{"name":"Technical Department, Szent Istv\u00e1n University, Vill\u00e1nyi \u00fat 29-43, 1118 Budapest, Hungary"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8065-9793","authenticated-orcid":false,"given":"Arnon","family":"Karnieli","sequence":"additional","affiliation":[{"name":"The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Sede-Boker Campus, Sede Boger 83990, Israel"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7115-833X","authenticated-orcid":false,"given":"Roland","family":"Kraemer","sequence":"additional","affiliation":[{"name":"Geography Department, Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin, Germany"}]},{"given":"Mohsen","family":"Makki","sequence":"additional","affiliation":[{"name":"Geography Department, Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin, Germany"}]},{"given":"Christian","family":"Mielke","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1918-7747","authenticated-orcid":false,"given":"Markus","family":"M\u00f6ller","sequence":"additional","affiliation":[{"name":"Federal Research Centre for Cultivated Plants, Institute for Strategies and Technology Assessment, Julius K\u00fchn Institute (JKI), Stahnsdorfer Damm 81, D-14532 Kleinmachnow, Germany"}]},{"given":"Hannes","family":"Mollenhauer","sequence":"additional","affiliation":[{"name":"Department Monitoring and Exploration Technology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0812-8570","authenticated-orcid":false,"given":"Carsten","family":"Montzka","sequence":"additional","affiliation":[{"name":"Forschungszentrum J\u00fclich GmbH, Institute of Bio- and Geoscience, Agrosphere (IBG-3), Wilhelm-Johnen-Str., D-52428 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3836-2723","authenticated-orcid":false,"given":"Marion","family":"Pause","sequence":"additional","affiliation":[{"name":"Institut of Photogrammetry and Remote Sensing, Technical University Dresden, Helmholtzstr. 10, D-01061 Dresden, Germany"}]},{"given":"Christian","family":"Rogass","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany"}]},{"given":"Offer","family":"Rozenstein","sequence":"additional","affiliation":[{"name":"Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center, HaMaccabim Road, P.O.B 15159, Rishon LeTsiyon 7528809, Israel"}]},{"given":"Christiane","family":"Schmullius","sequence":"additional","affiliation":[{"name":"Institut of Geography, Department of Remote Sensing, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, Germany"}]},{"given":"Franziska","family":"Schrodt","sequence":"additional","affiliation":[{"name":"University of Nottingham, School of Geography, University Park, Nottingham NG7 2RD, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0220-0677","authenticated-orcid":false,"given":"Martin","family":"Schr\u00f6n","sequence":"additional","affiliation":[{"name":"Department Monitoring and Exploration Technology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6616-2876","authenticated-orcid":false,"given":"Karsten","family":"Schulz","sequence":"additional","affiliation":[{"name":"Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna, Muthgasse 18, 1190 Vienna, Austria"}]},{"given":"Claudia","family":"Sch\u00fctze","sequence":"additional","affiliation":[{"name":"Computational Hydrosystems Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"given":"Christian","family":"Schweitzer","sequence":"additional","affiliation":[{"name":"German Environment Agency, W\u00f6rlitzer Platz 1, D-06844 Dessau Ro\u00dflau, Germany"}]},{"given":"Peter","family":"Selsam","sequence":"additional","affiliation":[{"name":"Department Monitoring and Exploration Technology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7446-8429","authenticated-orcid":false,"given":"Andrew","family":"Skidmore","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, AE 7500 Enschede, The Netherlands"},{"name":"Department of Earth and Environmental Science, Macquarie University, Sydney, NSW 2109, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2939-8764","authenticated-orcid":false,"given":"Daniel","family":"Spengler","sequence":"additional","affiliation":[{"name":"Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5144-8145","authenticated-orcid":false,"given":"Christian","family":"Thiel","sequence":"additional","affiliation":[{"name":"DLR Institute of Data Science, M\u00e4lzerstra\u00dfe 3, D-07743 Jena, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6016-3747","authenticated-orcid":false,"given":"Sina","family":"Truckenbrodt","sequence":"additional","affiliation":[{"name":"Institut of Geography, Department of Remote Sensing, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, Germany"},{"name":"DLR Institute of Data Science, M\u00e4lzerstra\u00dfe 3, D-07743 Jena, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6048-1163","authenticated-orcid":false,"given":"Michael","family":"Vohland","sequence":"additional","affiliation":[{"name":"Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, D-04103 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2888-0834","authenticated-orcid":false,"given":"Robert","family":"Wagner","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering and Marine Technology, Chair of Ocean Engineering, University of Rostock, Albert-Einstein-Stra\u00dfe 2, D-18059 Rostock, Germany"}]},{"given":"Ute","family":"Weber","sequence":"additional","affiliation":[{"name":"Computational Hydrosystems Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4700-5258","authenticated-orcid":false,"given":"Ulrike","family":"Werban","sequence":"additional","affiliation":[{"name":"Department Monitoring and Exploration Technology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"given":"Ute","family":"Wollschl\u00e4ger","sequence":"additional","affiliation":[{"name":"Department Soil System Science, Helmholtz Centre for Environmental Research\u2013UFZ, Theodor-Lieser-Str. 4, D-06120 Halle, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7825-0072","authenticated-orcid":false,"given":"Steffen","family":"Zacharias","sequence":"additional","affiliation":[{"name":"Department Monitoring and Exploration Technology, Helmholtz Centre for Environmental Research\u2013UFZ, Permoserstr. 15, D-04318 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9627-9565","authenticated-orcid":false,"given":"Michael","family":"Schaepman","sequence":"additional","affiliation":[{"name":"Remote Sensing Laboratories, Department of Geography, and University Research Priority Program on Global Change and Biodiversity, University of Zurich\u2013Irchel, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.ecolind.2016.06.022","article-title":"Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives","volume":"70","author":"Lausch","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1799","DOI":"10.1111\/2041-210X.13025","article-title":"Understanding and assessing vegetation health by in-situ species and remote sensing approaches","volume":"9","author":"Lausch","year":"2018","journal-title":"Methods Ecol. Evol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Lausch, A., Erasmi, S., King, D., Magdon, P., and Heurich, M. (2016). Understanding Forest Health with Remote Sensing-Part I\u2014A Review of Spectral Traits, Processes and Remote-Sensing Characteristics. Remote Sens., 8.","DOI":"10.3390\/rs8121029"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"16155","DOI":"10.1073\/pnas.1911799116","article-title":"Opinion: To advance sustainable stewardship, we must document not only biodiversity but geodiversity","volume":"116","author":"Schrodt","year":"2019","journal-title":"Proc. Natl. Acad. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1770","DOI":"10.1126\/science.287.5459.1770","article-title":"Biodiversity: Global biodiversity scenarios for the year 2100","volume":"287","author":"Sala","year":"2005","journal-title":"Science"},{"key":"ref_6","unstructured":"Bardgett, R.D., and Wardle, D.A. (2010). Aboveground-Belowground Linkages: Biotic Interactions, Ecosystem Processes, and Global Change, Oxford University Press."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1016\/j.tree.2005.08.009","article-title":"Linking aboveground and belowground diversity","volume":"20","year":"2005","journal-title":"Trends Ecol. Evol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e23688","DOI":"10.3897\/rio.4.e23688","article-title":"Aboveground-belowground interactions drive the relationship between plant diversity and ecosystem function","volume":"4","author":"Eisenhauer","year":"2018","journal-title":"Res. Ideas Outcomes"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1629","DOI":"10.1126\/science.1094875","article-title":"Ecological Linkages Between Aboveground and Belowground Biota","volume":"304","author":"Wardle","year":"2004","journal-title":"Science"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3523","DOI":"10.1093\/jxb\/ers100","article-title":"The interaction of plant biotic and abiotic stresses: From in Posidonia oceanica cadmium induces changes in DNA genes to the field","volume":"63","author":"Atkinson","year":"2012","journal-title":"J. Exp. Bot."},{"key":"ref_11","first-page":"1167","article-title":"BIOPHYSICAL LANDSCAPE INTERACTIONS: BRIDGING DISCIPLINES AND SCALE WITH CONNECTIVITY","volume":"29","author":"Baartman","year":"2017","journal-title":"Land Degrad. Dev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s10021-017-0151-y","article-title":"Biotic and Abiotic Controls Over Canopy Function and Structure in Humid Hawaiian Forests","volume":"21","author":"Balzotti","year":"2018","journal-title":"Ecosystems"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1111\/j.1461-0248.2012.01844.x","article-title":"Abiotic drivers and plant traits explain landscape-scale patterns in soil microbial communities","volume":"15","author":"Manning","year":"2012","journal-title":"Ecol. Lett."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1890\/0012-9615(2003)073[0377:RATAIP]2.0.CO;2","article-title":"Relationships at the Aboveground-Belowground Interface: Plants, Soil Biota, and Soil Processes","volume":"73","author":"Porazinska","year":"2018","journal-title":"Ecol. Monogr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1111\/j.1365-2389.2010.01314.x","article-title":"Soil biodiversity and carbon cycling: A review and synthesis of studies examining diversity-function","volume":"62","author":"Nielsen","year":"2011","journal-title":"Eur. J. Soil Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1111\/nph.15225","article-title":"Allocation, morphology, physiology, architecture: The multiple facets of plant above- and below-ground responses to resource stress","volume":"219","author":"Freschet","year":"2018","journal-title":"New Phytol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1111\/nph.13352","article-title":"Integrated plant phenotypic responses to contrasting above- and below-ground resources: Key roles of specific leaf area and root mass fraction","volume":"206","author":"Freschet","year":"2015","journal-title":"New Phytol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.actao.2005.12.001","article-title":"Original article Ant diversity and its relationship with vegetation and soil factors in an alluvial fan of the Tehuac\u00e1n Valley, Mexico","volume":"29","year":"2006","journal-title":"Acta Oecol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.1111\/j.1365-2745.2010.01679.x","article-title":"Linkages of plant traits to soil properties and the functioning of temperate grassland","volume":"98","author":"Orwin","year":"2010","journal-title":"J. Ecol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/s10533-015-0083-6","article-title":"Effects of litter traits, soil biota, and soil chemistry on soil carbon stocks at a common garden with 14 tree species","volume":"123","author":"Mueller","year":"2015","journal-title":"Biogeochemistry"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.rse.2015.05.011","article-title":"Comparison of in-situ, aircraft, and satellite land surface temperature measurements over a NOAA Climate Reference Network site","volume":"165","author":"Krishnan","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s10750-016-3007-0","article-title":"The importance of small waterbodies for biodiversity and ecosystem services: Implications for policy makers","volume":"793","author":"Biggs","year":"2017","journal-title":"Hydrobiologia"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1111\/j.1466-8238.2008.00441.x","article-title":"A global study of relationships between leaf traits, climate and soil measures of nutrient fertility","volume":"18","author":"Witte","year":"2009","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1890\/070037","article-title":"Novel climates, no-analog communities, and ecological surprises","volume":"5","author":"Williams","year":"2007","journal-title":"Front. Ecol. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1038\/250026a0","article-title":"Vegetation classification by reference to strategies","volume":"250","author":"Grime","year":"1974","journal-title":"Nature"},{"key":"ref_26","first-page":"1","article-title":"The global spectrum of plant form and function","volume":"529","author":"Kattge","year":"2015","journal-title":"Nature"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1038\/nature02403","article-title":"The worldwide leaf economics spectrum","volume":"428","author":"Wright","year":"2004","journal-title":"Nature"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1941","DOI":"10.1111\/gcb.14606","article-title":"Conventional land-use intensification reduces species richness and increases production: A global meta-analysis","volume":"25","author":"Beckmann","year":"2019","journal-title":"Glob. Chang. Biol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1890\/11-0392.1","article-title":"Phylogenetic and functional characteristics of household yard floras and their changes along an urbanization gradient","volume":"93","author":"Knapp","year":"2012","journal-title":"Ecology"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/S0169-5347(97)01219-6","article-title":"Plant functional classifications: From general groups to specific groups based on response to disturbance","volume":"12","author":"Lavorel","year":"1997","journal-title":"Trends Ecol. Evol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1002\/rse2.86","article-title":"Differentiating plant functional types using reflectance: Which traits make the difference?","volume":"5","author":"Kattenborn","year":"2018","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1038\/416389a","article-title":"Ecological responses to recent climate change","volume":"416","author":"Walther","year":"2002","journal-title":"Nature"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3725","DOI":"10.1073\/pnas.1519911113","article-title":"Global change and terrestrial plant community dynamics","volume":"113","author":"Franklin","year":"2016","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1126\/sciadv.1700866","article-title":"Climate warming promotes species diversity, but with greater taxonomic redundancy, in complex environments","volume":"3","author":"Thakur","year":"2017","journal-title":"Sci. Adv."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1126\/science.1228026","article-title":"A Reconstruction of Regional temperatures","volume":"339","author":"Marcott","year":"2013","journal-title":"Science"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"10762","DOI":"10.1038\/s41598-017-11167-3","article-title":"Reconciling the opposing effects of warming on phytoplankton biomass in 188 large lakes","volume":"7","author":"Kraemer","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"10773","DOI":"10.1002\/2015GL066235","article-title":"Rapid and highly variable warming of lake surface waters around the globe","volume":"42","author":"Reilly","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1111\/j.1365-2486.2011.02635.x","article-title":"No-analog climates and shifting realized niches during the late quaternary: Implications for 21st-century predictions by species distribution models","volume":"18","author":"Veloz","year":"2012","journal-title":"Glob. Chang. Biol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Fei, S., Desprez, J.M., Potter, K.M., Jo, I., Knott, J.A., and Oswalt, C.M. (2017). Divergence of species responses to climate change. Sci. Adv.","DOI":"10.1126\/sciadv.1603055"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1111\/cobi.12505","article-title":"The theory behind, and the challenges of, conserving nature\u2019s stage in a time of rapid change","volume":"29","author":"Lawler","year":"2015","journal-title":"Conserv. Biol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1038\/nclimate2552","article-title":"Near-term acceleration in the rate of temperature change","volume":"5","author":"Smith","year":"2015","journal-title":"Nat. Clim. Chang."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1038\/nature14324","article-title":"Global effects of land use on local terrestrial biodiversity","volume":"520","author":"Newbold","year":"2015","journal-title":"Nature"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1038\/nature20575","article-title":"Land-use intensification causes multitrophic homogenization of grassland communities","volume":"540","author":"Gossner","year":"2016","journal-title":"Nature"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Elmqvist, T., Bai, X., Frantzeskaki, N., Griffith, C., Maddox, D., McPhearson, T., Parnell, S., Romero-Lankao, P., Simon, D., and Watkins, M. (2018). Global Urbanization: Perspectives and Trends. Urban Planet, Cambridge University Press.","DOI":"10.1017\/9781316647554"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1111\/j.1523-1739.2009.01422.x","article-title":"Uso de elementos territoriales para planificar para el cambio cli\u1e3fatico: Conservando las arenas, no los actores","volume":"24","author":"Beier","year":"2010","journal-title":"Conserv. Biol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1016\/j.tree.2007.10.001","article-title":"Conservation planning in a changing world","volume":"22","author":"Pressey","year":"2007","journal-title":"Trends Ecol. Evol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1111\/cobi.13311","article-title":"Global mismatches in aboveground and belowground biodiversity","volume":"33","author":"Cameron","year":"2019","journal-title":"Conserv. Biol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.geoderma.2010.12.018","article-title":"The use of remote sensing in soil and terrain mapping\u2014A review","volume":"162","author":"Mulder","year":"2011","journal-title":"Geoderma"},{"key":"ref_49","unstructured":"Wulf, H., Mulder, T., Schaepman, M.E., Keller, A., and J\u00f6rg, P.C. (2015). Remote Sensing of Soils, Remote Sensing Laboratories, University of Zurich."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1029\/2018RG000618","article-title":"Ground, Proximal and Satellite Remote Sensing of Soil Moisture","volume":"57","author":"Babaeian","year":"2019","journal-title":"Rev. Geophys."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2136\/vzj2016.10.0105","article-title":"Soil Moisture Remote Sensing: State-of-the-Science","volume":"16","author":"Mohanty","year":"2017","journal-title":"Vadose Zone J."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.eiar.2009.01.002","article-title":"Effects of urbanisation on the water balance\u2014A long-term trajectory","volume":"29","author":"Haase","year":"2009","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ecolind.2015.12.009","article-title":"Remote sensing for lake research and monitoring\u2014Recent advances","volume":"64","author":"Oppelt","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.swaqe.2015.02.003","article-title":"Reflections about blue ecosystem services in cities","volume":"5","author":"Haase","year":"2015","journal-title":"Sustain. Water Qual. Ecol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1126\/science.320.5879.1011a","article-title":"Free Access to Landsat Imagery","volume":"320","author":"Woodcock","year":"2008","journal-title":"Science"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1016\/j.rse.2019.02.016","article-title":"Benefits of the free and open Landsat data policy","volume":"224","author":"Zhu","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Lausch, A., Borg, E., Bumberger, J., Dietrich, P., Heurich, M., Huth, A., Jung, A., Klenke, R., Knapp, S., and Mollenhauer, H. (2018). Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sens., 10.","DOI":"10.3390\/rs10071120"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.rse.2015.11.032","article-title":"The global Landsat archive: Status, consolidation, and direction","volume":"185","author":"Wulder","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.biocon.2014.11.048","article-title":"Free and open-access satellite data are key to biodiversity conservation","volume":"182","author":"Turner","year":"2015","journal-title":"Biol. Conserv."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.ecolmodel.2014.08.018","article-title":"Understanding and quantifying landscape structure\u2014A review on relevant process characteristics, data models and landscape metrics","volume":"295","author":"Lausch","year":"2015","journal-title":"Ecol. Model."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1017\/S0376892911000117","article-title":"Other nature: Geodiversity and geosystem services","volume":"38","author":"Gray","year":"2011","journal-title":"Environ. Conserv."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"3487","DOI":"10.1007\/s10531-012-0376-1","article-title":"Inclusion of explicit measures of geodiversity improve biodiversity models in a boreal landscape","volume":"21","author":"Hjort","year":"2012","journal-title":"Biodivers. Conserv."},{"key":"ref_63","unstructured":"National Research Council (2001). Basic Research Opportunities in Earth Science, National Academies Press."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Cavender-Bares, J., Gamon, J., and Townsend, P. (2019). Remote sensing of geodiversity and biodiversity. The Nature of Biodiversity: Prospects for Remote Detection of Genetic, Phylogenetic, Functional and Ecosystem Components and Importance in Managing, Springer.","DOI":"10.1007\/978-3-030-33157-3"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1890\/0012-9658(1998)079[0023:FISCIT]2.0.CO;2","article-title":"Factors Influencing Species Composition in Tropical Lowland Rain Forest: Does Soil Matter?","volume":"79","author":"Sollins","year":"1998","journal-title":"Ecology"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.rse.2013.08.018","article-title":"Characterizing regional soil mineral composition using spectroscopy and geostatistics","volume":"139","author":"Mulder","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Clark, R.N., Swayze, G.A., Livo, K.E., Kokaly, R.F., Sutley, S.J., Dalton, J.B., Mcdougal, R.R., and Gent, C.A. (2003). Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems. J. Geophys. Res., 108.","DOI":"10.1029\/2002JE001847"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.10.047","article-title":"Remote Sensing of Environment Sensitivity of clay content prediction to spectral configuration of VNIR\/SWIR imaging data, from multispectral to hyperspectral scenarios","volume":"204","author":"Gomez","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1109\/JSTARS.2013.2249496","article-title":"The Earth Observing One (EO-1) Satellite Mission: Over a Decade in Space","volume":"6","author":"Middleton","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_70","first-page":"93","article-title":"Potential applications of the Sentinel-2 multispectral sensor and the EnMap hyperspectral sensor in mineral exploration","volume":"13","author":"Mielke","year":"2014","journal-title":"EARSeL EProceedings"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Kokaly, R.F. (2012, January 23\u201327). Spectroscopic remote sensing for material identification, vegetation characterization, and mapping. Proceedings of the SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral and Ultraspectral Imagery XVIII, Baltimore, MD, USA.","DOI":"10.1117\/12.919121"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.rse.2011.08.026","article-title":"The next Landsat satellite: The Landsat Data Continuity Mission","volume":"122","author":"Irons","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2011.11.026","article-title":"Sentinel-2: ESA\u2019s Optical High-Resolution Mission for GMES Operational Services","volume":"120","author":"Drusch","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1029\/JB092iB02p01441","article-title":"Discrimination of iron alteration minerals in visible and near-infrared reflectance data","volume":"92","author":"Townsend","year":"1987","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Milewski, R., Chabrillat, S., and Behling, R. (2017). Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data. Remote Sens., 9.","DOI":"10.3390\/rs9020170"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.rse.2014.03.022","article-title":"Potential of ESA\u2019s Sentinel-2 for geological applications","volume":"148","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1080\/014311600210326","article-title":"The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): Data products for the high spatial resolution imager on NASA\u2019s Terra platform","volume":"21","author":"Abrams","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_78","first-page":"112","article-title":"Multi and hyperspectral geologic remote sensing: A review","volume":"14","author":"Hecker","year":"2012","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/S0034-4257(02)00127-X","article-title":"Lithologic mapping in the Mountain Pass, California area using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data","volume":"84","author":"Rowan","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"3212","DOI":"10.1016\/j.rse.2008.03.016","article-title":"Surface-sediment dynamics in a dust source from spaceborne multispectral thermal infrared data","volume":"112","author":"Katra","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1190\/1.1440721","article-title":"Spectral Signatures of Particulate Minerals in the visible and near infrared","volume":"42","author":"Hunt","year":"1977","journal-title":"Geophysics"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"987","DOI":"10.3390\/rs4040987","article-title":"Effect of grain size and mineral mixing on carbonate absorption features in the SWIR and TIR wavelength regions","volume":"4","author":"Zaini","year":"2012","journal-title":"Remote Sens."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"25581","DOI":"10.1029\/97JE02046","article-title":"Thermal infrared emission spectroscopy of anhydrous carbonates","volume":"102","author":"Lane","year":"1997","journal-title":"J. Geophys. Res. Res."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"3265","DOI":"10.3390\/rs4113265","article-title":"Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties across Semi-Arid Agricultural Landscapes","volume":"4","author":"Eisele","year":"2012","journal-title":"Remote Sens."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.rse.2015.04.001","article-title":"Remote Sensing of Environment Advantages using the thermal infrared (TIR) to detect and quantify semi-arid soil properties","volume":"163","author":"Eisele","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/S0034-4257(01)00323-6","article-title":"First use of an airborne thermal infrared hyperspectral scanner for compositional mapping","volume":"80","author":"Kirkland","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.rse.2005.04.030","article-title":"Surface mineral mapping at Steamboat Springs, Nevada, USA, with multi-wavelength thermal infrared images","volume":"99","author":"Vaughan","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"5757","DOI":"10.3390\/rs5115757","article-title":"Using visible spectral information to predict long-wave infrared spectral emissivity: A case study over the sokolov area of the czech republic with an airborne hyperspectral scanner sensor","volume":"5","author":"Adar","year":"2013","journal-title":"Remote Sens."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"12282","DOI":"10.3390\/rs70912282","article-title":"Mineral classification of makhtesh ramon in israel using hyperspectral longwave infrared (LWIR) remote-sensing data","volume":"7","author":"Notesco","year":"2015","journal-title":"Remote Sens."},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Notesco, G., Ogen, Y., and Ben-Dor, E. (2016). Integration of hyperspectral shortwave and longwave infrared remote-sensing data for mineral mapping of Makhtesh Ramon in Israel. Remote Sens., 8.","DOI":"10.3390\/rs8040318"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Weksler, S., Rozenstein, O., and Ben-dor, E. (2018). Mapping Surface Quartz Content in Sand Dunes Covered by Biological Soil Crusts Using Airborne Hyperspectral Images in the Longwave. Minerals, 8.","DOI":"10.3390\/min8080318"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.rse.2016.01.022","article-title":"Automated lithological mapping using airborne hyperspectral thermal infrared data: A case study from Anchorage Island, Antarctica","volume":"176","author":"Black","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_93","unstructured":"Conforti, P., Gagnon, M., Tremblay, P., and Chamberland, M. (2014, January 13). Long-wave infrared surface reflectance spectra retrieved from Telops Hyper-Cam imagery. Proceedings of the SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90880U, Baltimore, MD, USA."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1080\/01431169608949079","article-title":"Classification of remotely-sensed imagery using an indicator kriging approach: Application to the problem of calcite-dolomite mineral mapping","volume":"17","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/S0034-4257(02)00186-4","article-title":"SEBASS hyperspectral thermal infrared data: Surface emissivity measurement and mineral mapping","volume":"85","author":"Vaughan","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/S0169-1368(99)00007-4","article-title":"Remote sensing for mineral exploration","volume":"14","author":"Sabins","year":"1999","journal-title":"Ore Geol. Rev."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"83","DOI":"10.2465\/jmps.99.83","article-title":"Application of remote sensing and GIS in mineral resource mapping an overview","volume":"99","author":"Rajesh","year":"2004","journal-title":"J. Mineral. Pedrol. Sci."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"6790","DOI":"10.3390\/rs6086790","article-title":"Spaceborne Mine Waste Mineralogy Monitoring in South Africa, Applications for Modern Push-Broom Missions: Hyperion\/OLI and EnMAP\/Sentinel-2","volume":"6","author":"Mielke","year":"2014","journal-title":"Remote Sens."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.rse.2017.12.014","article-title":"Remote sensing of biodiversity: Soil correction and datadimension reduction methods improve assessment of \u03b1-diversity (species richness) inprairie ecosystems","volume":"206","author":"Gholizadeh","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Lausch, A., Zacharias, S., Dierke, C., Pause, M., K\u00fchn, I., Doktor, D., Dietrich, P., and Werban, U. (2013). Analysis of vegetation and soil pattern using hyperspectral remote sensing, EMI and Gamma ray measurements. Vadose Zone J., 12.","DOI":"10.2136\/vzj2012.0217"},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Vereecken, H., Schnepf, A., Hopmans, J.W., Javaux, M., Or, D., Roose, T., Vanderborght, J., Young, M.H., Amelung, W., and Aitkenhead, M. (2016). Modeling Soil Processes: Review, Key Challenges, and New Perspectives. Vadose Zone J., 15.","DOI":"10.2136\/vzj2015.09.0131"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.geoderma.2015.07.017","article-title":"Digital soil mapping: A brief history and some lessons","volume":"264","author":"Minasny","year":"2016","journal-title":"Geoderma"},{"key":"ref_103","unstructured":"Sparks, D.L. (2015). Fusion of Soil and Remote Sensing Data to Model Soil Properties, Elsevier. [1st ed.]."},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Escribano, P., Schmid, T., Chabrillat, S., Rodr\u00edguez-Caballero, E., and Garc\u00eda, M. (2017). Optical Remote Sensing for Soil Mapping and Monitoring. Soil Mapping and Process Modeling for Sustainable Land Use Management, Elsevier.","DOI":"10.1016\/B978-0-12-805200-6.00004-9"},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.geoderma.2016.09.024","article-title":"Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability","volume":"285","author":"Maynard","year":"2017","journal-title":"Geoderma"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1177\/0309133309346644","article-title":"Remote sensing of soil surface properties","volume":"33","author":"Anderson","year":"2009","journal-title":"Prog. Phys. Geogr."},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Babaeian, E., Homaee, M., Montzka, C., Vereecken, H., and Norouzi, A.A. (2015). Towards Retrieving Soil Hydraulic Properties by Hyperspectral Remote Sensing. Vadose Zone J., 14.","DOI":"10.2136\/vzj2014.07.0080"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.geoderma.2017.11.027","article-title":"Prediction of soil parameters using the spectral range between 350 and 15,000 nm: A case study based on the Permanent Soil Monitoring Program in Saxony, Germany","volume":"315","author":"Riedel","year":"2018","journal-title":"Geoderma"},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Chabrillat, S., Schmid, T., Milewski, R., Escribano, P., Garcia, M., Ben-Dor, E., Guillaso, S., Pelayo, M., Reyes, A., and Sobejano-Paz, V. (2018, January 26\u201328). Mapping crop variability related to soil quality and crop stress within rainfed Mediterranean agroecosystems using hyperspectral data. Proceedings of the 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, The Netherlands.","DOI":"10.1109\/WHISPERS.2018.8747219"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/S0034-4257(00)00170-X","article-title":"Variations in reflectance of tropical soils: Spectral-chemical composition relationships from AVIRIS data","volume":"75","author":"Pizarro","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"364","DOI":"10.2136\/sssaj1995.03615995005900020014x","article-title":"Near-Infrared Analysis as a Rapid Method to Simultaneously Evaluate Sveral Soil Properties","volume":"59","author":"Bania","year":"1995","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/bs.agron.2015.02.002","article-title":"Chapter Four\u2014Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring","volume":"132","author":"Nocita","year":"2015","journal-title":"Adv. Agron."},{"key":"ref_113","doi-asserted-by":"crossref","unstructured":"Castaldi, F., Chabrillat, S., Jones, A., Vreys, K., Bomans, B., and Van Wesemael, B. (2018). Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database. Remote Sens., 10.","DOI":"10.3390\/rs10020153"},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.geoderma.2008.04.007","article-title":"Comparison of multivariate methods for inferential modeling of soil carbon using visible\/near-infrared spectra","volume":"146","author":"Vasques","year":"2008","journal-title":"Geoderma"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.geoderma.2008.09.016","article-title":"Continuum removal versus PLSR method for clay and calcium carbonate content estimation from laboratory and airborne hyperspectral measurements","volume":"148","author":"Gomez","year":"2008","journal-title":"Geoderma"},{"key":"ref_116","unstructured":"Chabrillat, S., Eisele, A., Guillaso, S., Roga\u00df, C., Ben-Dor, E., and Kaufmann, H. (, January April). HYSOMA: An easy-to-use software interface for soil mapping applications of hyperspectral imagery. Proceedings of the 7th EARSeL SIG Imaging Spectroscopy workshop, Edinburgh, UK."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.geoderma.2012.05.023","article-title":"Regional predictions of eight common soil properties and their spatial structures from hyperspectral Vis-NIR data","volume":"189\u2013190","author":"Gomez","year":"2012","journal-title":"Geoderma"},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.geoderma.2009.11.032","article-title":"Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy","volume":"158","author":"Stevens","year":"2010","journal-title":"Geoderma"},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"1215","DOI":"10.1007\/s10661-012-2627-8","article-title":"A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape","volume":"185","author":"Lausch","year":"2013","journal-title":"Environ. Monit. Assess."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"844","DOI":"10.2136\/sssaj2005.0025","article-title":"Detection of Carbon Stock Change in Agricultural Soils Using Spectroscopic Techniques","volume":"70","author":"Toure","year":"2006","journal-title":"Soil Sci. Soc."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s10712-019-09524-0","article-title":"Imaging Spectroscopy for Soil Mapping and Monitoring","volume":"40","author":"Chabrillat","year":"2019","journal-title":"Surv. Geophys."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.geoderma.2011.04.019","article-title":"Geoderma Applying blind source separation on hyperspectral data for clay content estimation over partially vegetated surfaces","volume":"163","author":"Ouerghemmi","year":"2011","journal-title":"Geoderma"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"868090","DOI":"10.1155\/2012\/868090","article-title":"Spatially explicit estimation of clay and organic carbon content in agricultural soils using multi-annual imaging spectroscopy data","volume":"2012","author":"Gerighausen","year":"2012","journal-title":"Appl. Environ. Soil Sci."},{"key":"ref_124","first-page":"4869","article-title":"Kognitiv terapi har visat god effekt pa panikangest","volume":"95","author":"Holsten","year":"1998","journal-title":"Lakartidningen"},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.rse.2016.04.013","article-title":"Remote Sensing of Environment Semi-blind source separation for the estimation of the clay content over semi-vegetated areas using VNIR\/SWIR hyperspectral airborne data","volume":"181","author":"Ouerghemmi","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1016\/j.geoderma.2018.09.052","article-title":"Minimizing soil moisture variations in multi-temporal airborne imaging spectrometer data for digital soil mapping","volume":"337","author":"Diek","year":"2019","journal-title":"Geoderma"},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"3997","DOI":"10.1109\/JSTARS.2016.2585674","article-title":"Combining Field and Imaging Spectroscopy to Map Soil Organic Carbon in a Semiarid Environment","volume":"9","author":"Bayer","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1080\/03650340.2017.1359416","article-title":"Prediction of soil properties using a hyperspectral remote sensing method","volume":"64","author":"Yu","year":"2017","journal-title":"Arch. Agron. Soil Sci."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s12665-016-5367-1","article-title":"Pioneer vegetation as an indicator of the geochemical parameters in abandoned mine sites using hyperspectral airborne data","volume":"75","author":"Beyer","year":"2016","journal-title":"Environ. Earth Sci."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1080\/01431160010006962","article-title":"Mapping of several soil properties using DAIS-7915 hyperspectral scanner data\u2014A case study over clayey soils in Israel","volume":"23","author":"Patkin","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.geoderma.2006.03.050","article-title":"High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling porcedures","volume":"136","author":"Selige","year":"2006","journal-title":"Geoderma"},{"key":"ref_132","doi-asserted-by":"crossref","unstructured":"Vohland, M., Ludwig, M., Thiele-Bruhn, S., and Ludwig, B. (2017). Quantification of soil properties with hyperspectral data: Selecting spectral variables with different methods to improve accuracies and analyze prediction mechanisms. Remote Sens., 9.","DOI":"10.3390\/rs9111103"},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"927","DOI":"10.3390\/rs8110927","article-title":"Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations","volume":"8","author":"Estimations","year":"2016","journal-title":"Remote Sens."},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.agee.2018.02.012","article-title":"Spatio-temporal land use dynamics and soil organic carbon in Swiss agroecosystems","volume":"258","author":"Stumpf","year":"2018","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"15748","DOI":"10.3390\/rs71115748","article-title":"Developing a Spectral Soil Quality Index (SSQI) Map using Imaging Spectroscopy","volume":"7","author":"Zaady","year":"2015","journal-title":"Remote Sens."},{"key":"ref_136","doi-asserted-by":"crossref","first-page":"11434","DOI":"10.3390\/rs70911434","article-title":"Use of A Portable Camera for Proximal Soil Sensing with Hyperspectral Image Data","volume":"7","author":"Jung","year":"2015","journal-title":"Remote Sens."},{"key":"ref_137","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.geoderma.2005.02.011","article-title":"Quantitative mapping of the soil rubification process on sand dunes using an airborne hyperspectral sensor","volume":"131","author":"Levin","year":"2006","journal-title":"Geoderma"},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1109\/JSTARS.2015.2462125","article-title":"Characterization of Soil Erosion Indicators Using Hyperspectral Data from a Mediterranean Rainfed Cultivated Region","volume":"9","author":"Schmid","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_139","first-page":"289","article-title":"The Spectral Reflectance Properties of Soil Structural Crusts in the 1.2- to 2.5-\u03bcm Spectral Region","volume":"67","author":"Goldlshleger","year":"2003","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1016\/j.jaridenv.2010.02.001","article-title":"Spectral properties and sources of variability of ecosystem components in a Mediterranean semiarid environment","volume":"74","author":"Escribano","year":"2010","journal-title":"J. Arid Environ."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/S0016-7061(03)00223-4","article-title":"On digital Soil Mapping","volume":"117","author":"McBratney","year":"2003","journal-title":"Geoderma"},{"key":"ref_142","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.rse.2009.08.011","article-title":"Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States","volume":"114","author":"Roy","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.catena.2016.11.016","article-title":"Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk","volume":"150","author":"Gerstmann","year":"2017","journal-title":"CATENA"},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compag.2015.01.012","article-title":"Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale","volume":"113","author":"Blasch","year":"2015","journal-title":"Comput. Electron. Agric."},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2017.11.004","article-title":"Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984\u20132014)","volume":"205","author":"Rogge","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_146","doi-asserted-by":"crossref","unstructured":"Diek, S., Fornallaz, F., Schaepman, M.E., and De Jong, R. (2017). Barest Pixel Composite for Agricultural Areas Using Landsat Time Series. Remote Sens., 9.","DOI":"10.3390\/rs9121245"},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"11125","DOI":"10.3390\/rs70911125","article-title":"Organic matter modeling at the landscape scale based on multitemporal soil pattern analysis using rapideye data","volume":"7","author":"Blasch","year":"2015","journal-title":"Remote Sens."},{"key":"ref_148","doi-asserted-by":"crossref","unstructured":"Dematt\u00ea, J.A.M., Alves, M.R., da Silva Terra, F., Bosquilia, R.W.D., Fongaro, C.T., and da Silva Barros, P.P. (2016). Is It Possible to Classify Topsoil Texture Using a Sensor Located 800 km Away from the Surface?. Rev. Bras. Ci\u00eancia Solo, 40.","DOI":"10.1590\/18069657rbcs20150335"},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.catena.2011.08.002","article-title":"Plausibility test of conceptual soil maps using relief parameters","volume":"88","author":"Koschitzki","year":"2012","journal-title":"Catena"},{"key":"ref_150","first-page":"151","article-title":"Effective map scales for soil transport processes and related process domains\u2014Statistical and spatial characterization of their scale-specific inaccuracies","volume":"247\u2013248","author":"Volk","year":"2015","journal-title":"Geoderma"},{"key":"ref_151","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.rse.2014.09.032","article-title":"Analysis of the uncertainties affecting predictions of clay contents from VNIR\/SWIR hyperspectral data","volume":"156","author":"Gomez","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_152","doi-asserted-by":"crossref","first-page":"1789","DOI":"10.2136\/sssaj2005.0071","article-title":"IKONOS imagery to estimate surface soil property variability in two Alabama physiographies","volume":"69","author":"Sullivan","year":"2005","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_153","doi-asserted-by":"crossref","first-page":"463","DOI":"10.13031\/2013.24388","article-title":"Detection of soil properties with airborne hyperspectral measurements of bare fields","volume":"51","author":"Detar","year":"2008","journal-title":"Trans. ASABE"},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/S0034-4257(02)00060-3","article-title":"Use of hyperspectral images in the identification and mapping of expansive clay soils and the role of spatial resolution","volume":"82","author":"Chabrillat","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_155","doi-asserted-by":"crossref","unstructured":"Steinberg, A., Chabrillat, S., Stevens, A., Segl, K., and Foerster, S. (2016). Prediction of Common Surface Soil Properties Based on Vis-NIR Airborne and Simulated EnMAP Imaging Spectroscopy Data: Prediction Accuracy and Influence of Spatial Resolution. Remote Sens., 8.","DOI":"10.3390\/rs8070613"},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/j.geoderma.2008.06.011","article-title":"Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study","volume":"146","author":"Gomez","year":"2008","journal-title":"Geoderma"},{"key":"ref_157","doi-asserted-by":"crossref","unstructured":"Ducasse, E., Hohmann, A., Adeline, K., Bourguignon, A., D\u00e9liot, P., Briottet, X., Rig, D.R.P., Guillemin, C., and Cedex, O. (2018, January 22\u201327). Unmixing of mineralogical clay intimate mixtures with laboratory hyperspectral images. Proceedings of the IGARSS 2018\u20142018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8518095"},{"key":"ref_158","doi-asserted-by":"crossref","first-page":"358193","DOI":"10.1155\/2011\/358193","article-title":"Use of Airborne Hyperspectral Imagery to Map Soil Properties in Tilled Agricultural Fields","volume":"2011","author":"Hively","year":"2011","journal-title":"Appl. Environ. Soil Sci."},{"key":"ref_159","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.rse.2016.03.025","article-title":"Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon","volume":"179","author":"Castaldi","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1016\/j.rse.2007.06.014","article-title":"Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements","volume":"112","author":"Lagacherie","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_161","first-page":"194","article-title":"Determining iron content in Mediterranean soils in partly vegetated areas, using spectral reflectance and imaging spectroscopy","volume":"9","author":"Bartholomeus","year":"2007","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_162","doi-asserted-by":"crossref","first-page":"3222","DOI":"10.1016\/j.rse.2008.03.017","article-title":"Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain","volume":"112","author":"Choe","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.3390\/rs70201181","article-title":"Digital Mapping of Soil Properties Using Multivariate Statistical Analysis and ASTER Data in an Arid Region","volume":"7","author":"Nawar","year":"2015","journal-title":"Remote Sens."},{"key":"ref_164","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.isprsjprs.2018.11.026","article-title":"Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands","volume":"147","author":"Castaldi","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_165","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.geomorph.2010.11.008","article-title":"Linking spatial patterns of soil organic carbon to topography\u2014A case study from south-eastern Spain","volume":"126","author":"Schwanghart","year":"2011","journal-title":"Geomorphology"},{"key":"ref_166","first-page":"16","article-title":"Geo-spatial approach for soil salinity mapping in Sego Irrigation Farm, South Ethiopia","volume":"16","author":"Zewdu","year":"2017","journal-title":"J. Saudi Soc. Agric. Sci."},{"key":"ref_167","doi-asserted-by":"crossref","first-page":"4005","DOI":"10.1002\/ldr.3148","article-title":"Soil salinity prediction and mapping by machine learning regression in Central Mesopotamia, Iraq","volume":"29","author":"Wu","year":"2018","journal-title":"Land Degrad. Dev."},{"key":"ref_168","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s11852-016-0437-9","article-title":"Estimating soil salinity in different landscapes of the Yellow River Delta through Landsat OLI\/TIRS and ETM + Data","volume":"20","author":"Meng","year":"2016","journal-title":"J. Coast. Conserv."},{"key":"ref_169","doi-asserted-by":"crossref","unstructured":"Bannari, A., El-battay, A., Bannari, R., and Rhinane, H. (2018). Sentinel-MSI VNIR and SWIR Bands Sensitivity Analysis for Soil Salinity Discrimination in an Arid Landscape. Remote Sens., 10.","DOI":"10.3390\/rs10060855"},{"key":"ref_170","doi-asserted-by":"crossref","unstructured":"Kobayashi, C., Lau, I.C., Wheaton, B., Bourke, L., and Kakuta, S. (2015, January 26\u201331). Mapping of soil salinity using an airborne hyperspectral sensor in Western Australia. Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7326366"},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(02)00188-8","article-title":"Remote sensing of soil salinity: Potentials and constraints","volume":"85","author":"Metternicht","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_172","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.rse.2005.02.011","article-title":"A new index for mapping lichen-dominated biological soil crusts in desert areas","volume":"96","author":"Chen","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_173","doi-asserted-by":"crossref","first-page":"S38","DOI":"10.1016\/j.rse.2008.09.019","article-title":"Using Imaging Spectroscopy to study soil properties","volume":"113","author":"Chabrillat","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_174","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.jaridenv.2014.01.017","article-title":"Identification and characterization of Biological Soil Crusts in a sand dune desert environment across Israel-Egypt border using LWIR emittance spectroscopy","volume":"112","author":"Rozenstein","year":"2015","journal-title":"J. Arid Environ."},{"key":"ref_175","first-page":"1","article-title":"Remote sensing application in evaluation of soil characteristics in desert areas","volume":"2","author":"Alavipanah","year":"2016","journal-title":"Nat. Environ. Chang."},{"key":"ref_176","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1016\/j.asr.2019.04.019","article-title":"Soil Roughness Retrieval from TerraSar-X Data Using Neural Network and Fractal Method","volume":"64","author":"Maleki","year":"2019","journal-title":"Adv. Space Res."},{"key":"ref_177","doi-asserted-by":"crossref","unstructured":"Baghdadi, N., El Hajj, M., Choker, M., Zribi, M., Bazzi, H., Vaudour, E., Gilliot, J.M., Bousbih, S., Mwampongo, D.E., and Tetis, U.M.R. (2018, January 22\u201327). Potential of sentinel-1 for estimating the soil roughness over agricultural soils. Proceedings of the IGARSS 2018\u20142018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8519479"},{"key":"ref_178","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1080\/07038992.2014.907522","article-title":"Improving Soil Moisture Retrieval from Airborne L-band Radiometer Data by Considering Spatially Varying Roughness","volume":"40","author":"Pause","year":"2014","journal-title":"Can. J. Remote Sens."},{"key":"ref_179","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.rse.2013.08.030","article-title":"Estimation of soil surface roughness of agricultural soils using airborne LiDAR","volume":"140","author":"Turner","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_180","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.geoderma.2017.10.034","article-title":"Geoderma Soil micro-topography change detection at hillslopes in fragile Mediterranean landscapes","volume":"313","author":"Eltner","year":"2018","journal-title":"Geoderma"},{"key":"ref_181","doi-asserted-by":"crossref","first-page":"3765","DOI":"10.5194\/hess-20-3765-2016","article-title":"Estimating spatially distributed soil texture using time series of thermal remote sensing\u2014A case study in central Europe","volume":"20","author":"Bernhardt","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_182","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2015.02.019","article-title":"Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR\/SWIR imagery","volume":"164","author":"Gomez","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_183","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.rse.2018.10.038","article-title":"Mapping spatial-temporal sediment dynamics of river-floodplains in the Amazon","volume":"221","author":"Cauduro","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_184","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.rse.2018.04.048","article-title":"Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil","volume":"213","author":"Mariano","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_185","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S0924-2716(98)00004-5","article-title":"Evaluating the information content of JERS-1 SAR and Landsat TM data for discrimination of soil erosion features","volume":"53","author":"Metternicht","year":"1998","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_186","doi-asserted-by":"crossref","first-page":"11","DOI":"10.4314\/sajg.v6i1.2","article-title":"Mapping Soil Erosion in a Quaternary Catchment in Eastern Cape Using Geographic Information System and Remote Sensing","volume":"6","author":"Phinzi","year":"2017","journal-title":"S. Afr. J. Geomat."},{"key":"ref_187","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1002\/esp.3673","article-title":"Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil","volume":"40","author":"Eltner","year":"2015","journal-title":"EARTH Surf. Process. Landf."},{"key":"ref_188","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.apgeog.2018.04.010","article-title":"Long term monitoring and assessment of deserti fi cation processes using medium & high resolution satellite data","volume":"97","author":"Christian","year":"2018","journal-title":"Appl. Geogr."},{"key":"ref_189","doi-asserted-by":"crossref","unstructured":"Staenz, K., Mueller, A., and Heiden, U. (2013, January 21\u201326). Overview of terrestrial imaging spectroscopy missions. Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium\u2014IGARSS, Melbourne, Australia.","DOI":"10.1109\/IGARSS.2013.6723584"},{"key":"ref_190","doi-asserted-by":"crossref","first-page":"1512","DOI":"10.1109\/TGRS.2004.827260","article-title":"The PROBA\/CHRIS mission: A low-cost smallsat for hyperspectral multiangle observations of the earth surface and atmosphere","volume":"42","author":"Barnsley","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_191","first-page":"I-188","article-title":"Image quality evaluation on Chinese first earth observation hyperspectral satellite","volume":"1","author":"Zhang","year":"2009","journal-title":"Int. Geosci. Remote Sens. Symp."},{"key":"ref_192","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1007\/BF02715956","article-title":"Hyper-Spectral Imager in visible and near-infrared band for lunar compositional mapping","volume":"114","author":"Chowdhury","year":"2005","journal-title":"J. Earth Syst. Sci."},{"key":"ref_193","doi-asserted-by":"crossref","unstructured":"Lewis, M.D., Gould, R.W., Arnone, R.A., Lyon, P.E., Martinolich, P.M., Vaughan, R., Lawson, A., Scardino, T., Hou, W., and Snyder, W. (2009, January 26\u201329). The Hyperspectral Imager for the Coastal Ocean (HICO): Sensor and data processing overview. Proceedings of the IEEE Oceans, Biloxi, MS, USA.","DOI":"10.23919\/OCEANS.2009.5422336"},{"key":"ref_194","unstructured":"(2019, March 24). OSCAR (Observing Systems Capability Analysis and Review Tool. Available online: Http:\/\/www.wmo-sat.info\/oscar\/satellites\/view\/526."},{"key":"ref_195","unstructured":"Lopinto, E., and Ananasso, C. (2013, January 3\u20136). The Prisma Hyperspectral Mission. Proceedings of the 33rd EARSeL Symposium, Towards Horizon 2020: Earth Observation and Social Perspectives, Matera, Italy."},{"key":"ref_196","doi-asserted-by":"crossref","unstructured":"Iwasaki, A., Ohgi, N., Tanii, J., Kawashima, T., and Inada, H. (2011, January 24\u201329). Hyperspectral Imager Suite (HISUI)-Japanese hyper-multi spectral radiometer. Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, BC, Canada.","DOI":"10.1109\/IGARSS.2011.6049308"},{"key":"ref_197","unstructured":"Kaufmann, H., Segl, K., Chabrillat, S., Hofer, S., Stuffier, T., Mueller, A., Richter, R., Schreier, G., Haydn, R., and Bach, H. (August, January 31). EnMAP a hyperspectral sensor for environmental mapping and analysis. Proceedings of the IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, USA."},{"key":"ref_198","first-page":"1387","article-title":"FLEX\u2014Fluorescence Explorer: A remote sensing approach to quatify spatio-temporal variations of photosynthetic efficiency from space","volume":"91","author":"Rascher","year":"2007","journal-title":"Photosynth. Res."},{"key":"ref_199","doi-asserted-by":"crossref","unstructured":"Kraft, S., Del Bello, U., Bouvet, M., and Drusch, M. (2012, January 22\u201327). Flex: Esa\u2019s Earth Explorer 8 Candidate Mission. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6352020"},{"key":"ref_200","unstructured":"Briottet, X., Marion, R., Carrere, V., Jacquemoud, S., Bourguignon, A., Chami, M., Dumont, M., Minghelli-Roman, A., Weber, C., and Lefevre-Fonollosa, M.-J. (2013, January 26\u201328). HYPXIM: HYPXIM: A second generation high spatial resolution hyperspectral satellite for dual applications. Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, FL, USA."},{"key":"ref_201","unstructured":"Nieke, J., and Rast, M. (2018, January 29). Towards the Copernicus Hyperspectral Imaging Mission for The Environment (CHIME). Proceedings of the European Space Agency\/ESTEC, Keplerlaan 1, PO Box 299, 2200 AG Noordwijk ZH, The European Space Agency\/ESRIN, via Galileo Galilei, Frascati, Rome, Italy."},{"key":"ref_202","doi-asserted-by":"crossref","unstructured":"Rast, M., Nieke, J., Ananasso, C., Bach, H., Ben Dor, E., Chabrillat, S., Colombo, R., Feret, J.-B., Giardino, C., and Green, R.O. (2019, January 13\u201317). The Copernicus Hyperspectral Imaging Mission for the Environment (CHIME). Proceedings of the Living Planet Symposium, Milan, Italy.","DOI":"10.1109\/IGARSS.2019.8899807"},{"key":"ref_203","unstructured":"Ben-Dor, E., Kafri, A., and Varacalli, G. (2014, January 13\u201318). An Italian\u2013Israeli hyperspectral orbital mission\u2014Update. Proceedings of the International Geoscience and Remote Sensing Symposium, Quebec, QC, Canada."},{"key":"ref_204","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.rse.2011.09.026","article-title":"Sentinels for science: Potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land","volume":"120","author":"Rott","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_205","unstructured":"(2019, January 01). The CEOS Database. Available online: http:\/\/database.eohandbook.com\/index.aspx."},{"key":"ref_206","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.geoderma.2007.05.015","article-title":"Ground-penetrating radar soil suitability map of the conterminous United States","volume":"141","author":"Doolittle","year":"2007","journal-title":"Geoderma"},{"key":"ref_207","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.rse.2012.10.025","article-title":"Urban growth of the Washington, D.C.-Baltimore, MD metropolitan region from 1984 to 2010 by annual, Landsat-based estimates of impervious cover","volume":"129","author":"Sexton","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_208","unstructured":"Webb, R., Rosenzweig, C.E., and Levine, E.R. (2000). Global Soil Texture and Derived Water-Holding Capacities (Webb et al.), ORNL DAAC."},{"key":"ref_209","unstructured":"Wilson, M.F., Henderson-Sellers, A., and Global 1-Degree Vegetation and Soil Types (2019, February 10). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. Available online: http:\/\/rda.ucar.edu\/datasets\/ds767.0\/."},{"key":"ref_210","unstructured":"Batjes, N.H. (2016). Global Assessment of Soil Phosphorus Retention Potential, World Data Centre for Soils. PANGAEA."},{"key":"ref_211","doi-asserted-by":"crossref","unstructured":"Petrakis, S., Barba, J., Bond-Lamberty, J., and Vargas, R. (2017). Data from: Using Greenhouse Gas Fluxes to Define Soil Functional Types, Springer International Publishing.","DOI":"10.1007\/s11104-017-3506-4"},{"key":"ref_212","doi-asserted-by":"crossref","first-page":"2437","DOI":"10.3390\/ijerph7062437","article-title":"Evaluation of Hyperspectral Indices for Chlorophyll-a Concentration Estimation in Tangxun Lake (Wuhan, China)","volume":"7","author":"Huang","year":"2010","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"ref_213","doi-asserted-by":"crossref","unstructured":"Hengl, T., De Jesus, J.M., MacMillan, R.A., Batjes, N.H., Heuvelink, G.B.M., Ribeiro, E., Samuel-Rosa, A., Kempen, B., Leenaars, J.G.B., and Walsh, M.G. (2014). SoilGrids1km\u2014Global soil information based on automated mapping. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0105992"},{"key":"ref_214","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/S0169-5347(03)00070-3","article-title":"Remote sensing for biodiversity science and conservation","volume":"18","author":"Turner","year":"2003","journal-title":"Trends Ecol. Evol."},{"key":"ref_215","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1038\/ngeo2868","article-title":"The global distribution and dynamics of surface soil moisture","volume":"10","author":"McColl","year":"2017","journal-title":"Nat. Geosci."},{"key":"ref_216","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.earscirev.2010.02.004","article-title":"Earth-Science Reviews Investigating soil moisture\u2014Climate interactions in a changing climate: A review","volume":"99","author":"Seneviratne","year":"2010","journal-title":"Earth Sci. Rev."},{"key":"ref_217","first-page":"122","article-title":"Soil structure as an indicator of soil functions: A review","volume":"314","author":"Rabot","year":"2018","journal-title":"Br. Med. J."},{"key":"ref_218","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2008WR006829","article-title":"On the value of soil moisture measurements in vadose zone hydrology: A review","volume":"44","author":"Vereecken","year":"2008","journal-title":"WATER Resour. Res."},{"key":"ref_219","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1007\/s10531-013-0442-3","article-title":"Topographically controlled soil moisture drives plant diversity patterns within grasslands","volume":"22","author":"Moeslund","year":"2013","journal-title":"Biodivers. Conserv."},{"key":"ref_220","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1038\/nature13855","article-title":"Belowground biodiversity and ecosystem functioning","volume":"515","author":"Bardgett","year":"2014","journal-title":"Nature"},{"key":"ref_221","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1007\/s10021-013-9729-1","article-title":"Does Drought Influence the Relationship Between Biodiversity and Ecosystem Functioning in Boreal Forests?","volume":"17","author":"Grossiord","year":"2014","journal-title":"Ecosystems"},{"key":"ref_222","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.1111\/gcb.13160","article-title":"The impacts of increasing drought on forest dynamics, structure, and biodiversity in the United States","volume":"22","author":"Clark","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_223","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/S0929-1393(99)00029-3","article-title":"Controls on soil biodiversity: Insights from extreme environments","volume":"13","author":"Wall","year":"1999","journal-title":"Appl. Soil Ecol."},{"key":"ref_224","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.rse.2017.01.021","article-title":"Validation of SMAP surface soil moisture products with core validation sites","volume":"191","author":"Colliander","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_225","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-Fern\u00e1ndez, N., Al Bitar, A., Colliander, A., and Zhao, T. (2019). Soil Moisture Remote Sensing across Scales. Remote Sens., 11.","DOI":"10.3390\/rs11020190"},{"key":"ref_226","doi-asserted-by":"crossref","first-page":"4079","DOI":"10.5194\/hess-16-4079-2012","article-title":"Sciences COSMOS: The COsmic-ray Soil Moisture Observing System","volume":"16","author":"Zreda","year":"2012","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_227","doi-asserted-by":"crossref","unstructured":"Strati, V., Alb\u00e9ri, M., Anconelli, S., Baldoncini, M., Bittelli, M., Bottardi, C., Chiarelli, E., Fabbri, B., Guidi, V., and Raptis, K. (2018). Modelling Soil Water Content in a Tomato Field: Proximal Gamma Ray Spectroscopy and Soil\u2013Crop System Models. Agriculture, 8.","DOI":"10.3390\/agriculture8040060"},{"key":"ref_228","first-page":"476","article-title":"Measuring Soil Water Content with Ground Penetrating Radar: A Review","volume":"2","author":"Huisman","year":"2003","journal-title":"Soil Sci. Soc. Am."},{"key":"ref_229","unstructured":"Ulaby, F.T., Moore, R.K., and Fung, A.K. (1986). Microwave Remote Sensing: Active and Passive Volume II: Radar Remote Sensing and Surface Scattering and Emission Theory, Artech House Publishers."},{"key":"ref_230","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1029\/WR016i003p00574","article-title":"Electromagnetic Determination of Soil Water Content: Measruements in Coaxial Transmission Lines","volume":"16","author":"Topp","year":"1980","journal-title":"Water Resour. Res."},{"key":"ref_231","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1109\/TGRS.1985.289498","article-title":"Microwave Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models","volume":"23","author":"Dobson","year":"1985","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_232","doi-asserted-by":"crossref","first-page":"2059","DOI":"10.1109\/TGRS.2008.2011631","article-title":"Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils","volume":"47","author":"Mironov","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_233","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The soil moisture active passive (SMAP) mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_234","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1109\/MGRS.2013.2248301","article-title":"A Tutorial on Synthetic Aperture Radar","volume":"1","author":"Moreira","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_235","unstructured":"Henderson, F.M., and Lewis, A.J. (1998). Principles and Applications of Imaging Radar (Manual of Remote Sensing, Volume 2), WILEY."},{"key":"ref_236","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/0022-1694(95)02968-0","article-title":"Radar mapping of surface soil moisture","volume":"184","author":"Ulaby","year":"1996","journal-title":"J. Hydrol."},{"key":"ref_237","unstructured":"Jagdhuber, T. (2012). Soil Parameter Retrieval under Vegetation Cover Using SAR Polarimetry. [Ph.D. Thesis, University of Potsdam, Institute of Earth and Environmental Sciences Section of Geoecology]."},{"key":"ref_238","doi-asserted-by":"crossref","first-page":"2201","DOI":"10.1109\/TGRS.2012.2209433","article-title":"Soil Moisture Estimation under Low Vegetation Cover Using a Multi-Angular Polarimetric Decomposition","volume":"51","author":"Jagdhuber","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_239","doi-asserted-by":"crossref","first-page":"3911","DOI":"10.1109\/JSTARS.2014.2371468","article-title":"An Iterative Generalized Hybrid Decomposition for Soil Moisture Retrieval under Vegetation Cover Using Fully Polarimetric SAR","volume":"8","author":"Jagdhuber","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_240","doi-asserted-by":"crossref","first-page":"9364","DOI":"10.1029\/2018WR023337","article-title":"Synergies for Soil Moisture Retrieval across Scales from Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network","volume":"54","author":"Fersch","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_241","doi-asserted-by":"crossref","first-page":"210","DOI":"10.3390\/rs1030210","article-title":"Soil moisture retrieval from active spaceborne microwave observations: An evaluation of current techniques","volume":"1","author":"Barrett","year":"2009","journal-title":"Remote Sens."},{"key":"ref_242","first-page":"028001","article-title":"Review and evaluation of remote sensing methods for soil-moisture estimation","volume":"2","author":"Ahmad","year":"2011","journal-title":"J. Photonics Energy"},{"key":"ref_243","doi-asserted-by":"crossref","first-page":"16398","DOI":"10.3390\/rs71215841","article-title":"Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data","volume":"7","author":"Ali","year":"2015","journal-title":"Remote Sens."},{"key":"ref_244","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/0034-4257(88)90091-0","article-title":"Near surface soil moisture estimation from microwave measurements","volume":"26","author":"Bruckler","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_245","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/S0034-4257(99)00036-X","article-title":"A method for estimating soil moisture from ERS Scatterometer and soil data","volume":"70","author":"Wagner","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_246","first-page":"2647","article-title":"Soil Moisture Estimation from ERS\/SAR Data: Toward an Operational Methodology","volume":"40","author":"Zribi","year":"2002","journal-title":"East"},{"key":"ref_247","doi-asserted-by":"crossref","first-page":"2438","DOI":"10.1109\/TGRS.2002.803790","article-title":"On current limits of soil moisture retrieval from ERS-SAR data","volume":"40","author":"Satalino","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_248","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/S0034-4257(03)00065-8","article-title":"Surface soil moisture estimation from the synergistic use of the (multi-incidence and multi-resolution) active microwave ERS Wind Scatterometer and SAR data","volume":"86","author":"Zribi","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_249","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.1080\/01431160500239032","article-title":"Soil moisture estimation using multi-incidence and multi-polarization ASAR data","volume":"27","author":"Baghdadi","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_250","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1109\/JSTARS.2014.2378795","article-title":"Estimation of soil moisture in mountain areas using SVR technique applied to multiscale active radar images at C-band","volume":"8","author":"Pasolli","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_251","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1109\/TGRS.1986.289666","article-title":"Preliminary Evaluation of the SIRB Response to Soil Moisture, Surface Roughness, and Crop Canopy Cover","volume":"24","author":"Dobson","year":"1986","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_252","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1109\/36.406677","article-title":"Measuring Soil Moisture with Imaging Radars","volume":"33","author":"Dubois","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_253","unstructured":"Bindlish, R., Jackson, T.J., and Van Der Velde, R. (August, January 31). High resolution soil moisture mapping using AIRSAR observations during SMEX02. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Denver, CO, USA."},{"key":"ref_254","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1109\/TGRS.2005.863483","article-title":"Using a priori information to improve soil moisture retrieval from ENVISAT ASAR AP data in semiarid regions","volume":"44","author":"Mattia","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_255","doi-asserted-by":"crossref","unstructured":"Tsang, L., Kong, J.A., and Ding, K.-H. (2000). Scattering of Electromagnetic Waves: Theories and Applications, Wiley-Interscience.","DOI":"10.1002\/0471224286"},{"key":"ref_256","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/0959-7174\/14\/4\/R01","article-title":"A critical survey of approximate scattering wave theories from random rough surfaces","volume":"14","author":"Elfouhaily","year":"2004","journal-title":"Waves Random Media"},{"key":"ref_257","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1029\/RS013i002p00357","article-title":"Vegetation modeled as a water cloud","volume":"13","author":"Attema","year":"1978","journal-title":"Radio Sci."},{"key":"ref_258","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/0034-4257(95)00151-4","article-title":"A fully polarimetric multiple scattering model for crops","volume":"54","author":"Bracaglia","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_259","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1109\/TGRS.1987.289741","article-title":"Microwave Propagation Constant for a Vegetation Canopy with Vertical Stalks","volume":"25","author":"Ulaby","year":"1987","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_260","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.1109\/TGRS.2003.813353","article-title":"Understanding C-band radar backscatter from wheat canopy using a multiple-scattering coherent model","volume":"41","author":"Picard","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_261","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1080\/01431169008955090","article-title":"Michigan microwave canopy scattering model","volume":"11","author":"Ulaby","year":"1990","journal-title":"Int. J. Remote Sens."},{"key":"ref_262","doi-asserted-by":"crossref","first-page":"3815","DOI":"10.1109\/TGRS.2011.2132137","article-title":"Laboratory measurement of the dinsar response to spatiotemporal variations in soil moisture","volume":"49","author":"Morrison","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_263","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1109\/TGRS.2013.2241069","article-title":"A SAR interferometric model for soil moisture","volume":"52","author":"Parizzi","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_264","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.rse.2015.04.012","article-title":"Assessment of soil moisture effects on L-band radar interferometry","volume":"164","author":"Zwieback","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_265","doi-asserted-by":"crossref","first-page":"2285","DOI":"10.1109\/JSTARS.2017.2651140","article-title":"A Review of the Applications of ASCAT Soil Moisture Products","volume":"10","author":"Brocca","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_266","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1127\/0941-2948\/2013\/0399","article-title":"The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications","volume":"22","author":"Wagner","year":"2013","journal-title":"Meteorol. Z."},{"key":"ref_267","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1109\/TGRS.2008.2011617","article-title":"An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations","volume":"47","author":"Naeimi","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_268","unstructured":"Attema, E., Borgellini, P., Edwards, P., Levrini, G., Lokos, S., Moeller, L., Rosich-Tell, B., Secchi, P., Torres, R., and Davidson, M. (2007). Sentinel-1\u2014The Radar Mission for GMES Land and Sea Services, Bull-Eur Space, ESA Bulletin. No. 131."},{"key":"ref_269","doi-asserted-by":"crossref","unstructured":"Bauer-Marschallinger, B., Paulik, C., Hochst\u00f6ger, S., Mistelbauer, T., Modanesi, S., Ciabatta, L., Massari, C., Brocca, L., and Wagner, W. (2018). Soil moisture from fusion of scatterometer and SAR: Closing the scale gap with temporal filtering. Remote Sens., 10.","DOI":"10.3390\/rs10071030"},{"key":"ref_270","unstructured":"Wigneron, J.-P. (2002, January 4\u20136). Soil moisture retrieval algorithms in the framework of the SMOS mission: Current status and requirements for the EuroSTARRS Campaign. Proceedings of the First Results Workshop on Eurostarrs, Wise, Losac Campaigns, Toulouse, France."},{"key":"ref_271","doi-asserted-by":"crossref","first-page":"11229","DOI":"10.1029\/JC087iC13p11229","article-title":"A model for microwave emission from vegetation-covered fields","volume":"87","author":"Mo","year":"1982","journal-title":"J. Geophys. Res."},{"key":"ref_272","doi-asserted-by":"crossref","unstructured":"Ulaby, F.T., and Long, D.G. (2013). Microwave Radar and Radiometric Remote Sensing, The University of Michigan Press.","DOI":"10.3998\/0472119356"},{"key":"ref_273","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1109\/TGRS.1984.6499163","article-title":"Measured microwave emission and scattering in vegetation canopies","volume":"22","author":"Brunfeldt","year":"1984","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_274","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/0022-1694(95)02970-2","article-title":"Passive microwave remote sensing of soil moisture","volume":"184","author":"Njoku","year":"1996","journal-title":"J. Hydrol."},{"key":"ref_275","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.isprsjprs.2014.02.005","article-title":"Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral data","volume":"91","author":"Hasan","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_276","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1109\/36.942551","article-title":"Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission","volume":"39","author":"Kerr","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_277","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.rse.2014.01.013","article-title":"Remote monitoring of soil moisture using passive microwave-based techniques\u2014Theoretical basis and overview of selected algorithms for AMSR-E","volume":"144","author":"Mladenova","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_278","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.rse.2006.10.014","article-title":"L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields","volume":"107","author":"Wigneron","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_279","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1175\/2008JHM964.1","article-title":"Comparing ERA-40-Based L-Band Brightness Temperatures with Skylab Observations: A Calibration\/Validation Study Using the Community Microwave Emission Model","volume":"10","author":"Drusch","year":"2009","journal-title":"J. Hydrometeorol."},{"key":"ref_280","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1175\/JHM-D-13-0200.1","article-title":"A Preliminary Study toward Consistent Soil Moisture from AMSR2","volume":"16","author":"Parinussa","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_281","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1109\/JPROC.2010.2043032","article-title":"The SMOS Mission: New Tool for Monitoring Key Elements of the Global Water Cycle","volume":"98","author":"Kerr","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_282","doi-asserted-by":"crossref","unstructured":"Entekhabi, D., Njoku, E., O\u2019Neill, P., Spencer, M., Jackson, T., Entin, J., Im, E., and Kellogg, K. (2008, January 7\u201311). The Soil Moisture Active\/Passive Mission (SMAP). Proceedings of the IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4779267"},{"key":"ref_283","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.rse.2012.03.014","article-title":"Trend-preserving blending of passive and active microwave soil moisture retrievals","volume":"123","author":"Liu","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_284","unstructured":"Entekhabi, D., Narendra, D., Njoku, E., Yueh, S., Johnson, J., and Shi, J. (Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document SMAP L2 & L3 Radar Soil Moisture (Active) Data Products, 2014). Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document SMAP L2 & L3 Radar Soil Moisture (Active) Data Products."},{"key":"ref_285","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.1109\/TGRS.2010.2089526","article-title":"An algorithm for merging SMAP radiometer and radar data for high-resolution soil-moisture retrieval","volume":"49","author":"Das","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_286","doi-asserted-by":"crossref","first-page":"2182","DOI":"10.1109\/TGRS.2009.2013635","article-title":"Spatial-resolution enhancement of SMOS data: A deconvolution-based approach","volume":"47","author":"Piles","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_287","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1109\/TGRS.2005.863319","article-title":"A Method for Retrieving High-Resolution Surface Soil Moisture from Hydros L-Band Radiometer and Radar Observations","volume":"44","author":"Zhan","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_288","doi-asserted-by":"crossref","first-page":"2018","DOI":"10.1109\/TGRS.2013.2257605","article-title":"Tests of the SMAP combined radar and radiometer algorithm using airborne field campaign observations and simulated data","volume":"52","author":"Das","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_289","doi-asserted-by":"crossref","unstructured":"Montzka, C., R\u00f6tzer, K., Bogena, H.R., Sanchez, N., and Vereecken, H. (2018). A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability. Remote Sens., 10.","DOI":"10.3390\/rs10030427"},{"key":"ref_290","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1109\/TGRS.2018.2860630","article-title":"Physics-Based Modeling of Active and Passive Microwave Covariations over Vegetated Surfaces","volume":"57","author":"Jagdhuber","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_291","doi-asserted-by":"crossref","unstructured":"Jagdhuber, T., Entekhabi, D., Das, N.N., Link, M., Montzka, C., Kim, S., and Yueh, S. (2017, January 23\u201328). Microwave Covariation Modelling and Retrieval for the Dual-Frequency Active-Passive Combination of Sentinel-1 and SMAP. Proceedings of the IGARSS 2017, Fort Worth, TX, USA.","DOI":"10.1109\/IGARSS.2017.8127876"},{"key":"ref_292","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/j.rse.2019.03.021","article-title":"Estimation of active-passive microwave covariation using SMAP and Sentinel-1 data","volume":"225","author":"Jagdhuber","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_293","doi-asserted-by":"crossref","first-page":"4700","DOI":"10.1109\/TGRS.2015.2407611","article-title":"Sensitivity of Aquarius Active and Passive Measurements Temporal Covariability to Land Surface Characteristics","volume":"53","author":"Piles","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_294","doi-asserted-by":"crossref","first-page":"4493","DOI":"10.1109\/JSTARS.2017.2716638","article-title":"Relationship between Vegetation Microwave Optical Depth and Cross-Polarized Backscatter from multi-Year Aquarius Observations","volume":"10","author":"Montzka","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_295","unstructured":"Das, N.N., Entekhabi, D., Kim, S., Yueh, S., Dunbar, R.S., and Colliander, A. (2017). SMAP\/Sentinel-1 L2 Radiometer\/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture, Version 1, NASA National Snow and Ice Data Center Distributed Active Archive Center."},{"key":"ref_296","unstructured":"Jagdhuber, T., Entekhabi, D., Das, N.N., Baur, M., Kim, S., Yueh, S., and Link, M. (2016, January 21\u201322). Physically-based covariation modelling and retrieval for mono-(LL) and multi-frequency (LC) active-passive microwave data from SMAP and Sentinel-1. Proceedings of the 3rd Satellite Soil Moisture Validation and Application Workshop, New York, NY, USA."},{"key":"ref_297","doi-asserted-by":"crossref","first-page":"063516","DOI":"10.1117\/1.JRS.6.063516","article-title":"Near-surface soil moisture estimation by combining airborne L-band brightness temperature observations and imaging hyperspectral data at the field scale","volume":"6","author":"Pause","year":"2012","journal-title":"J. Appl. Remote Sens."},{"key":"ref_298","doi-asserted-by":"crossref","unstructured":"Montzka, C., Grant, J.P., Moradkhani, H., Franssen, H.-J.H., Weiherm\u00fcller, L., Drusch, M., and Vereecken, H. (2013). Estimation of Radiative Transfer Parameters from L-Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation. Vadose Zone J., 12.","DOI":"10.2136\/vzj2012.0040"},{"key":"ref_299","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1109\/JPROC.2012.2220511","article-title":"Very-high-resolution airborne synthetic aperture radar imaging: Signal processing and applications","volume":"101","author":"Reigber","year":"2013","journal-title":"Proc. IEEE"},{"key":"ref_300","doi-asserted-by":"crossref","unstructured":"Horn, R., Jaeger, M., Keller, M., Limbach, M., Nottensteiner, A., Reigber, A., and Scheiber, R. (2017, January 28\u201330). F-SAR\u2014Recent Upgrades and Campaign Activities. Proceedings of the 18th International Radar Symposium IRS 2017, Prague, Czech Republic.","DOI":"10.23919\/IRS.2017.8008092"},{"key":"ref_301","doi-asserted-by":"crossref","first-page":"3878","DOI":"10.1109\/TGRS.2016.2529659","article-title":"Investigation of SMAP fusion algorithms with airborne active and passive L-Band microwave remote sensing","volume":"54","author":"Montzka","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_302","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1109\/TGRS.2013.2241774","article-title":"(SMAPEx): Toward Soil Moisture Retrieval from the SMAP Mission","volume":"52","author":"Panciera","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_303","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1109\/LGRS.2009.2028441","article-title":"Combined passive and active microwave observations of soil moisture during CLASIC","volume":"6","author":"Bindlish","year":"2009","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_304","doi-asserted-by":"crossref","first-page":"6315","DOI":"10.1109\/TGRS.2013.2296035","article-title":"The Effect of a Variable Soil Moisture Profile on P-band Backscatter Estimation","volume":"52","author":"Konings","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_305","doi-asserted-by":"crossref","first-page":"2446","DOI":"10.1175\/JHM-D-13-0132.1","article-title":"Assimilation of Remotely Sensed Soil Moisture and Snow Depth Retrievals for Drought Estimation","volume":"15","author":"Kumar","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_306","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.jhydrol.2011.01.020","article-title":"Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter","volume":"399","author":"Montzka","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_307","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.advwatres.2014.09.011","article-title":"Intercomparison of the JULES and CABLE land surface models through assimilation of remotely sensed soil moisture in southeast Australia","volume":"74","author":"Dumedah","year":"2014","journal-title":"Adv. Water Resour."},{"key":"ref_308","doi-asserted-by":"crossref","first-page":"8962","DOI":"10.1002\/2014WR015392","article-title":"Assimilation of SMOS-derived soil moisture in a fully integrated hydrological and soil-vegetation-atmosphere transfermodel in Western Denmark","volume":"50","author":"Ridler","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_309","first-page":"8757","article-title":"Soilmoisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations","volume":"51","author":"Han","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_310","doi-asserted-by":"crossref","first-page":"5929","DOI":"10.5194\/hess-21-5929-2017","article-title":"SMOS brightness temperature assimilation into the Community Land Model","volume":"21","author":"Rains","year":"2017","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_311","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.jhydrol.2012.10.044","article-title":"Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications","volume":"476","author":"Kornelsen","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_312","first-page":"20","article-title":"Use of vegetation-based methods for soil quality assessment in Scottish forestry: A review","volume":"63","author":"Wilson","year":"2009","journal-title":"Scott. For."},{"key":"ref_313","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.geoderma.2014.11.015","article-title":"Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements","volume":"241\u2013242","author":"Rudolph","year":"2015","journal-title":"Geoderma"},{"key":"ref_314","doi-asserted-by":"crossref","unstructured":"Piles, M., Ballabrera-Poy, J., and Mu\u00f1oz-Sabater, J. (2019). Dominant Features of Global Surface Soil Moisture Variability Observed by the SMOS Satellite. Remote Sens., 11.","DOI":"10.3390\/rs11010095"},{"key":"ref_315","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1080\/02772248.2015.1123484","article-title":"Assessing the effect of scaling methods on retrieval of soil moisture based on MODIS images in arid regions","volume":"98","author":"Huo","year":"2016","journal-title":"Toxicol. Environ. Chem."},{"key":"ref_316","doi-asserted-by":"crossref","unstructured":"Li, B., Ti, C., Zhao, Y., and Yan, X. (2016). Estimating soil moisture with Landsat data and its application in extracting the spatial distribution of winter flooded paddies. Remote Sens., 8.","DOI":"10.3390\/rs8010038"},{"key":"ref_317","doi-asserted-by":"crossref","first-page":"023552","DOI":"10.1117\/1.3059191","article-title":"Surface soil moisture quantification and validation based on hyperspectral data and field measurements","volume":"2","author":"Haubrock","year":"2008","journal-title":"J. Appl. Remote Sens."},{"key":"ref_318","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1016\/j.scitotenv.2014.11.035","article-title":"Diurnal emissivity dynamics in bare versus biocrusted sand dunes","volume":"506\u2013507","author":"Rozenstein","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_319","doi-asserted-by":"crossref","unstructured":"Martini, E., Wollschl\u00e4ger, U., K\u00f6gler, S., Behrens, T., Dietrich, P., Reinstorf, F., Schmidt, K., Weiler, M., and Werban, U. (2013). Spatial and Temporal Dynamics of Hillslope-Scale Soil Moisture Patterns: Characteristic States and Transition Mechanisms. Vadose Zone J., 14.","DOI":"10.2136\/vzj2014.10.0150"},{"key":"ref_320","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1126\/science.1073616","article-title":"Maps of Subsurface Hydrogen from the High Energy Neutron Detector, Mars Odyssey","volume":"297","author":"Mitrofanov","year":"2002","journal-title":"Science"},{"key":"ref_321","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.jenvrad.2018.06.001","article-title":"Investigating the potentialities of Monte Carlo simulation for assessing soil water content via proximal gamma-ray spectroscopy","volume":"192","author":"Baldoncini","year":"2018","journal-title":"J. Environ. Radioact."},{"key":"ref_322","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.geoderma.2012.10.017","article-title":"Relationships between gamma-ray data and soil properties at an agricultural test site","volume":"199","author":"Dierke","year":"2013","journal-title":"Geoderma"},{"key":"ref_323","doi-asserted-by":"crossref","first-page":"WB21","DOI":"10.1190\/geo2014-0102.1","article-title":"Airborne and ground geophysical mapping of coastal clays in Eastern Friesland, Germany","volume":"80","author":"Siemon","year":"2015","journal-title":"Geophysics"},{"key":"ref_324","first-page":"29","article-title":"EQA\u2014Environmental quality\/Qualit\u00e9 de l\u2019Environnement\/Qualit\u00e0 ambientale, 11 (2013) 29\u201338","volume":"11","author":"Priori","year":"2013","journal-title":"EQA Int. J. Environ. Qual."},{"key":"ref_325","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2013.05.027","article-title":"A multivariate spatial interpolation of airborne \u03b3-ray data using the geological constraints","volume":"137","author":"Guastaldi","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_326","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1097\/00010694-198111000-00006","article-title":"Airborne soil moisture measurement using natural terrestrial gamma radiation","volume":"132","author":"Carroll","year":"1981","journal-title":"Soil Sci."},{"key":"ref_327","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/0002-1571(83)90020-1","article-title":"Error analysis of airborne gamma radiation soil moisture measurements","volume":"28","author":"Warren","year":"1983","journal-title":"Agric. Meteorol."},{"key":"ref_328","doi-asserted-by":"crossref","first-page":"5772","DOI":"10.1002\/2015WR017169","article-title":"Footprint characteristics revised for field-scale soil moisture monitoring with cosmic-ray neutrons","volume":"51","author":"Zreda","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_329","doi-asserted-by":"crossref","first-page":"W11505","DOI":"10.1029\/2009WR008726","article-title":"Nature\u2019s neutron probe: Land surface hydrology at an elusive scale with cosmic rays","volume":"46","author":"Desilets","year":"2010","journal-title":"Water Resour. Res."},{"key":"ref_330","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.1002\/2014WR016443","article-title":"An empirical vegetation correction for soil water content quantification using cosmic ray probes","volume":"51","author":"Baatz","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_331","doi-asserted-by":"crossref","first-page":"3615","DOI":"10.1002\/2016WR020234","article-title":"Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing","volume":"53","author":"Schattan","year":"2017","journal-title":"Water Resour. Res."},{"key":"ref_332","doi-asserted-by":"crossref","first-page":"83","DOI":"10.5194\/gi-7-83-2018","article-title":"Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment","volume":"7","author":"Zacharias","year":"2018","journal-title":"Geosci. Instrum. Methods Data Syst."},{"key":"ref_333","doi-asserted-by":"crossref","first-page":"3389","DOI":"10.1002\/2015GL063963","article-title":"Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real-time monitoring","volume":"42","author":"Franz","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_334","doi-asserted-by":"crossref","first-page":"6441","DOI":"10.1029\/2017WR021719","article-title":"Cosmic-ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads","volume":"54","author":"Rosolem","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_335","unstructured":"Schr\u00f6n, M. (2017). Cosmic-Ray Neutron Sensing and Its Applications to Soil and Land Surface Hydrology. [Ph.D. Thesis, University of Potsdam]. Available online: https:\/\/nbn-resolving.org\/urn:nbn:de:kobv:517-opus4-395433."},{"key":"ref_336","doi-asserted-by":"crossref","first-page":"5097","DOI":"10.5194\/hess-17-5097-2013","article-title":"Quantifying mesoscale soil moisture with the cosmic-ray rover","volume":"17","author":"Chrisman","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_337","doi-asserted-by":"crossref","unstructured":"Montzka, C., Bogena, H.R., Zreda, M., Monerris, A., Morrison, R., Muddu, S., and Vereecken, H. (2017). Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes. Remote Sens., 9.","DOI":"10.3390\/rs9020103"},{"key":"ref_338","doi-asserted-by":"crossref","first-page":"3867","DOI":"10.1109\/JSTARS.2014.2315999","article-title":"Assimilation of SMOS soil moisture for quantifying drought impacts on crop yield in agricultural regions","volume":"7","author":"Chakrabarti","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_339","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1016\/j.advwatres.2008.01.018","article-title":"The NAFE\u201906 data set: Towards soil moisture retrieval at intermediate resolution","volume":"31","author":"Merlin","year":"2008","journal-title":"Adv. Water Resour."},{"key":"ref_340","first-page":"18","article-title":"The Overview of the L-band SAR Onboard ALOS-2","volume":"2","author":"Kankaku","year":"2009","journal-title":"PIERS Proc. Moscow Russ."},{"key":"ref_341","doi-asserted-by":"crossref","unstructured":"Imaoka, K., Maeda, T., Kachi, M., Kasahara, M., Ito, N., and Nakagawa, K. (2012). \u201cStatus of AMSR2 Instrument on GCOM-W1\u201d. Proc. SPIE, 8528.","DOI":"10.1117\/12.977774"},{"key":"ref_342","doi-asserted-by":"crossref","first-page":"2347","DOI":"10.1109\/TGRS.2004.836867","article-title":"The windSat spaceborne polarimetric microwave radiometer: Sensor description and early orbit performance","volume":"42","author":"Gaiser","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_343","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1029\/2007GL031088","article-title":"Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT)","volume":"34","author":"Bartalis","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_344","doi-asserted-by":"crossref","first-page":"221","DOI":"10.5589\/m04-004","article-title":"Technical Note\/Note technique An introduction to the RADARSAT-2 mission","volume":"30","author":"Morena","year":"2004","journal-title":"Can. J. Remote Sens."},{"key":"ref_345","first-page":"446","article-title":"Synthetic Aperture Radar payload on-board RISAT-1: Configuration, technology and performance","volume":"104","author":"Misra","year":"2013","journal-title":"Curr. Sci."},{"key":"ref_346","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.rse.2011.05.028","article-title":"GMES Sentinel-1 mission","volume":"120","author":"Torres","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_347","doi-asserted-by":"crossref","first-page":"3317","DOI":"10.1109\/TGRS.2007.900693","article-title":"TanDEM-X: A satellite formation for high-resolution SAR interferometry","volume":"45","author":"Krieger","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_348","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1109\/TGRS.2009.2031062","article-title":"The TerraSAR-X mission and system design","volume":"48","author":"Werninghaus","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_349","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1111\/ejss.12189","article-title":"Soil moisture monitoring in mountain areas by using high-resolution SAR images: Results from a feasibility study","volume":"65","author":"Pasolli","year":"2014","journal-title":"Eur. J. Soil Sci."},{"key":"ref_350","first-page":"1","article-title":"The NAFE\u2019 05\/CoSMOS Data Set: Toward SMOS Soil Moisture Retrieval, Downscaling, and Assimilation","volume":"46","author":"Panciera","year":"2008","journal-title":"Cosmos"},{"key":"ref_351","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/s11769-019-1028-0","article-title":"Dynamic bp in the L Band and Its Role in Improving the Accuracy of Soil Moisture Retrieval","volume":"29","author":"Jiang","year":"2019","journal-title":"Chin. Geogr. Sci."},{"key":"ref_352","unstructured":"Panciera, R., Walker, J.P., Kim, E., Kalma, J., Merlin, O., Oxley, L., and Kulasiri, D. (2007, January 10\u201313). Effect of Spatial Scale on Soil Moisture Retrieval from Passive Microwave Sensors. Proceedings of the Modsim 2007 International Congress on Modelling and Simulation, Christchurch, New Zealand."},{"key":"ref_353","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.rse.2004.05.018","article-title":"Retrieval of soil moisture from passive and active L\/S band sensor (PALS) observations during the Soil Moisture Experiment in 2002 (SMEX02)","volume":"92","author":"Narayan","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_354","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1109\/TGRS.2011.2161318","article-title":"Improving spatial soil moisture representation through integration of AMSR-E and MODIS products","volume":"50","author":"Kim","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_355","doi-asserted-by":"crossref","unstructured":"R\u00f6der, A., and Hill, J. (2009). Using reflectance spectroscopy and landsat data to assess soil inorganic carbon in the Judean Desert (Israel). Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment, CRC Press.","DOI":"10.1201\/9780203875445-22"},{"key":"ref_356","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1080\/2150704X.2015.1130877","article-title":"Towards an operational method for land surface temperature retrieval from Landsat 8 data","volume":"7","author":"Zhang","year":"2016","journal-title":"Remote Sens. Lett."},{"key":"ref_357","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.rse.2011.10.018","article-title":"A method to estimate soil moisture from Airborne Hyperspectral Scanner (AHS) and ASTER data: Application to SEN2FLEX and SEN3EXP campaigns","volume":"117","author":"Sobrino","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_358","doi-asserted-by":"crossref","unstructured":"Gao, Q., Zribi, M., and Escorihuela, M.J. (2017). Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution. Sensors, 17.","DOI":"10.3390\/s17091966"},{"key":"ref_359","doi-asserted-by":"crossref","first-page":"3262","DOI":"10.3390\/s150203262","article-title":"Estimation of Soil Moisture Content from the Spectral Reflectance of Bare Soils in the 0.4\u20132.5 \u03bcm Domain","volume":"15","author":"Fabre","year":"2015","journal-title":"Sensors"},{"key":"ref_360","first-page":"71","article-title":"Indicator-Based Soil Moisture Monitoring of Wetlands by Utilizing Sentinel and Landsat Remote Sensing Data","volume":"86","author":"Klinke","year":"2018","journal-title":"PFG J. Photogramm. Remote Sens. Geoinf. Sci."},{"key":"ref_361","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.5194\/hess-15-1675-2011","article-title":"The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements","volume":"15","author":"Dorigo","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_362","doi-asserted-by":"crossref","first-page":"111380","DOI":"10.1016\/j.rse.2019.111380","article-title":"The SMAP and Copernicus Sentinel 1A\/B microwave active-passive high resolution surface soil moisture product","volume":"233","author":"Das","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_363","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.rse.2018.02.006","article-title":"An assessment of the di ff erences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites","volume":"207","author":"Colliander","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_364","doi-asserted-by":"crossref","first-page":"293","DOI":"10.5194\/essd-9-293-2017","article-title":"The global SMOS Level 3 daily soil moisture and brightness temperature maps","volume":"9","author":"Bitar","year":"2017","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_365","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1175\/BAMS-85-3-381","article-title":"The Global Land Data Assimilation System","volume":"85","author":"Rodell","year":"2004","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_366","doi-asserted-by":"crossref","unstructured":"Houborg, R., Rodell, M., Li, B., Reichle, R., and Zaitchik, B.F. (2012). Drought indicators based on model-assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations. Water Resour. Res., 48.","DOI":"10.1029\/2011WR011291"},{"key":"ref_367","doi-asserted-by":"crossref","first-page":"631","DOI":"10.14358\/PERS.69.6.631","article-title":"Remote Sensing Research in Hydrometeorology","volume":"69","author":"Kustas","year":"2003","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_368","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1175\/2009JCLI2900.1","article-title":"Use of NDVI and land surface temperature for drought assessment: Merits and limitations","volume":"23","author":"Karnieli","year":"2010","journal-title":"J. Clim."},{"key":"ref_369","doi-asserted-by":"crossref","first-page":"2976","DOI":"10.1002\/2017WR021346","article-title":"Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature","volume":"54","author":"Zink","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_370","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2012.12.008","article-title":"Satellite-derived land surface temperature: Current status and perspectives","volume":"131","author":"Li","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_371","doi-asserted-by":"crossref","first-page":"3937","DOI":"10.1093\/jxb\/ert029","article-title":"Thermography to explore plant\u2014Environment interactions","volume":"64","author":"Costa","year":"2013","journal-title":"J. Exp. Bot."},{"key":"ref_372","doi-asserted-by":"crossref","first-page":"3417","DOI":"10.1080\/01431169408954338","article-title":"The 1 km resolution global data set: Needs of the international geosphere biosphere programme!","volume":"15","author":"Townshend","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_373","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.scitotenv.2014.06.144","article-title":"Science of the Total Environment Zooming into temperature conditions in the city of Leipzig: How do urban built and green structures in fl uence earth surface temperatures in the city?","volume":"496","author":"Weber","year":"2014","journal-title":"Sci. Total Environ."},{"key":"ref_374","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/s10712-008-9037-z","article-title":"Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data","volume":"29","author":"Kalma","year":"2008","journal-title":"Surv. Geophys."},{"key":"ref_375","doi-asserted-by":"crossref","unstructured":"Hansen, J., Ruedy, R., Sato, M., and Lo, K. (2010). Global surface temperature change. Rev. Geophys., 48.","DOI":"10.1029\/2010RG000345"},{"key":"ref_376","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2005WR004435","article-title":"A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental hydrology","volume":"42","author":"Krajewski","year":"2006","journal-title":"Water Resour. Res."},{"key":"ref_377","doi-asserted-by":"crossref","first-page":"5141","DOI":"10.1080\/01431161.2018.1471550","article-title":"Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems","volume":"39","author":"Brenner","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_378","doi-asserted-by":"crossref","first-page":"3003","DOI":"10.1080\/01431161.2017.1280202","article-title":"Estimating spatially distributed turbulent heat fluxes from high-resolution thermal imagery acquired with a UAV system","volume":"38","author":"Brenner","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_379","first-page":"221","article-title":"Ecological Climatology: Concepts and Applications, 2nd Edition","volume":"48","author":"Bonan","year":"2008","journal-title":"Geogr. Res."},{"key":"ref_380","doi-asserted-by":"crossref","first-page":"5345","DOI":"10.5194\/hess-18-5345-2014","article-title":"Identification of catchment functional units by time series of thermal remote sensing images","volume":"18","author":"Bernhardt","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_381","doi-asserted-by":"crossref","first-page":"333","DOI":"10.3390\/rs1020333","article-title":"Estimating daily land surface temperatures in mountainous environments by reconstructed MODIS LST data","volume":"2","author":"Neteler","year":"2010","journal-title":"Remote Sens."},{"key":"ref_382","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/0034-4257(93)90065-6","article-title":"Feasibility of land surface temerature and emissivity determination from AVHRR data","volume":"43","author":"Li","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_383","doi-asserted-by":"crossref","first-page":"697","DOI":"10.5194\/hess-20-697-2016","article-title":"Estimating evaporation with thermal UAV data and two-source energy balance models","volume":"20","author":"Hoffmann","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_384","doi-asserted-by":"crossref","unstructured":"Malb\u00e9teau, Y., Parkes, S., Aragon, B., Rosas, J., and McCabe, M.F. (2018). Capturing the diurnal cycle of land surface temperature using an unmanned aerial vehicle. Remote Sens., 10.","DOI":"10.3390\/rs10091407"},{"key":"ref_385","doi-asserted-by":"crossref","unstructured":"Ghent, D., Veal, K., Trent, T., and Remedios, J. (2019). A New Approach to Defining Uncertainties for MODIS Land Surface Temperature. Remote Sens., 11.","DOI":"10.3390\/rs11091021"},{"key":"ref_386","doi-asserted-by":"crossref","unstructured":"Raoufi, R., and Beighley, E. (2017). Estimating daily global evapotranspiration using penman-monteith equation and remotely sensed land surface temperature. Remote Sens., 9.","DOI":"10.3390\/rs9111138"},{"key":"ref_387","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.rse.2005.05.007","article-title":"Ground measurements for the validation of land surface temperatures derived from AATSR and MODIS data","volume":"97","author":"Coll","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_388","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TGRS.2007.894564","article-title":"Absolute Radiometric in-Flight Validation of Mid Infrared and Thermal Infrared Data from ASTER and MODIS on the Terra Spacecraft Automated Validation Site","volume":"45","author":"Hook","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_389","first-page":"1","article-title":"Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature","volume":"114","author":"Sobrino","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_390","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1109\/TGRS.2008.2007125","article-title":"Revision of the single-channel algorithm for land surface temperature retrieval from landsat thermal-infrared data","volume":"47","author":"Sobrino","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_391","doi-asserted-by":"crossref","first-page":"5768","DOI":"10.3390\/s140405768","article-title":"Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm","volume":"14","author":"Rozenstein","year":"2014","journal-title":"Sensors"},{"key":"ref_392","doi-asserted-by":"crossref","first-page":"3473","DOI":"10.1080\/01431160110075578","article-title":"Mapping temperature independent spectral indice of emissivity and directional emissivity in AVHRR channels 4 and 5","volume":"23","author":"Petitcolin","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_393","doi-asserted-by":"crossref","first-page":"1941","DOI":"10.1109\/TGRS.2004.831886","article-title":"Directional effects in a daily AVHRR land surface temperature dataset over Africa","volume":"42","author":"Pinheiro","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_394","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.rse.2007.02.008","article-title":"Temperature and emissivity separation from ASTER data for low spectral contrast surfaces","volume":"110","author":"Coll","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_395","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.rse.2018.11.019","article-title":"Evaluating the feasibility of using Sentinel-2 and Sentinel-3 satellites for high-resolution evapotranspiration estimations","volume":"221","author":"Guzinski","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_396","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.rse.2013.04.016","article-title":"Retrieval of sea surface salinity with MERIS and MODIS data in the Bohai Sea","volume":"136","author":"Qing","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_397","doi-asserted-by":"crossref","first-page":"6067","DOI":"10.1080\/01431160802235860","article-title":"Split-window algorithm for land surface temperature estimation from MSG1-SEVIRI data","volume":"29","author":"Jiang","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_398","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1002\/2015JD023996","article-title":"Temporal and spatial variability of daytime land surface temperature in Houston: Comparing DISCOVER-AQ aircraft observations with the WRF model and satellites","volume":"121","author":"Huang","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_399","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.rse.2006.02.001","article-title":"Land surface temperature derived from airborne hyperspectral scanner thermal infrared data","volume":"102","author":"Sobrino","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_400","doi-asserted-by":"crossref","unstructured":"Adler-Golden, S., Conforti, P., Gagnon, M.A., Tremblay, P., and Chamberland, M. (2014, January 24\u201327). Remote sensing of surface emissivity with the telops Hyper-Cam. Proceedings of the 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lausanne, Switzerland.","DOI":"10.1109\/WHISPERS.2014.8077616"},{"key":"ref_401","doi-asserted-by":"crossref","unstructured":"Gagnon, M.-A., Tremblay, P., Savary, S., Farley, V., Lagueux, P., and Chamberland, M. (2014, January 13\u201318). Airborne thermal hyperspectral imaging of urban and rural areas. Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec, QC, Canada.","DOI":"10.1109\/IGARSS.2014.6946689"},{"key":"ref_402","doi-asserted-by":"crossref","first-page":"1326","DOI":"10.1016\/j.rse.2011.01.013","article-title":"Comparison of two temperature differencing methods to estimate daily evapotranspiration over a Mediterranean vineyard watershed from ASTER data","volume":"115","author":"Galleguillos","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_403","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.rse.2011.08.025","article-title":"Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources","volume":"122","author":"Anderson","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_404","doi-asserted-by":"crossref","unstructured":"Dold, C., Heitman, J., Giese, G., Howard, A., Havlin, J., and Sauer, T. (2019). Upscaling Evapotranspiration with Parsimonious Models in a North Carolina Vineyard. Agronomy, 9.","DOI":"10.3390\/agronomy9030152"},{"key":"ref_405","doi-asserted-by":"crossref","unstructured":"Parastatidis, D., Mitraka, Z., Chrysoulakis, N., and Abrams, M. (2017). Online Global Land Surface Temperature Estimation from Landsat. Remote Sens., 9.","DOI":"10.3390\/rs9121208"},{"key":"ref_406","unstructured":"GLCF, and GSFC (2011). Landsat Surface Reflectance, Landsat TM & ETM+, Global Land Cover Facility, University of Maryland."},{"key":"ref_407","unstructured":"Liang, S., and Zhang, X. (2012). Global Land Surface Products: Shortwave Radiation Product Data Collection (2008\u20132010), Beijing Normal University."},{"key":"ref_408","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1038\/s41559-018-0667-3","article-title":"Towards global data products of Essential Biodiversity Variables (EBVs) on species traits","volume":"2","author":"Kissling","year":"2018","journal-title":"Nat. Ecol. Evol."},{"key":"ref_409","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.ecolmodel.2014.09.018","article-title":"Data mining and linked open data\u2014New perspectives for data analysis in environmental research","volume":"295","author":"Lausch","year":"2015","journal-title":"Ecol. Model."},{"key":"ref_410","doi-asserted-by":"crossref","unstructured":"Bereta, K., Koubarakis, M., Pantazi, D.A., Stamoulis, G., Caumont, H., Daniels, U., Dirk, D., Ubels, S., Venus, V., and Wahyudi, F. (February, January 30). Providing Satellite Data to Mobile Developers Using Semantic Technologies and Linked Data. Proceedings of the ICSC 2019: IEEE International Conference on Semantic Computing, Newport Beach, CA, USA.","DOI":"10.1109\/ICOSC.2019.8665579"},{"key":"ref_411","doi-asserted-by":"crossref","first-page":"1376","DOI":"10.1016\/j.scitotenv.2017.08.111","article-title":"The next generation of site-based long-term ecological monitoring: Linking essential biodiversity variables and ecosystem integrity","volume":"613\u2013614","author":"Haase","year":"2018","journal-title":"Sci. Total Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2356\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:25:12Z","timestamp":1760189112000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2356"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,11]]},"references-count":411,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["rs11202356"],"URL":"https:\/\/doi.org\/10.3390\/rs11202356","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,10,11]]}}}