{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T13:59:51Z","timestamp":1762955991287,"version":"build-2065373602"},"reference-count":61,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,11]],"date-time":"2018-11-11T00:00:00Z","timestamp":1541894400000},"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>Previous validation studies have demonstrated the accuracy of the Metop-A ASCAT soil moisture (SM) product, although over- and underestimation during different seasons of the year suggest a need for improving the retrieval algorithm. In this study, we analyzed whether adapting the vegetation characterization based on global parameters to regional conditions improves the seasonal representation of SM and vegetation optical depth (   \u03c4   ). SM and    \u03c4    are retrieved from ASCAT using both a seasonal (mean climatological) and a dynamic vegetation characterization that allows for year-to-year changes. The retrieved SM and    \u03c4    are compared with in situ and satellite SM, and with vegetation products (SMAP, AMSR2, and SPOT-VGT\/PROBA-V). The study region is set in an agricultural area of Lower Austria that is characterized by heterogeneous land cover and topography, and features an experimental catchment equipped with a SM network (HOAL SoilNet). We found that a stronger vegetation correction within the SM retrieval improves the SM product considerably (increase of the Spearman correlation coefficient     r s     by 0.15 on average, and     r s     comparable to SMAP and AMSR2). The vegetation product derived with a dynamic vegetation characterization compares well to the reference datasets and reflects vegetation dynamics such as start and peak of season and harvest. Although some vegetation effects cannot be corrected by the adapted vegetation characterization, our results demonstrate the benefits of a parameterization optimized for regional conditions in this temperate climate zone.<\/jats:p>","DOI":"10.3390\/rs10111788","type":"journal-article","created":{"date-parts":[[2018,11,14]],"date-time":"2018-11-14T02:42:41Z","timestamp":1542163361000},"page":"1788","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Improving the Seasonal Representation of ASCAT Soil Moisture and Vegetation Dynamics in a Temperate Climate"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7893-8141","authenticated-orcid":false,"given":"Isabella","family":"Pfeil","sequence":"first","affiliation":[{"name":"Centre for Water Resource Systems, TU Wien, 1040 Vienna, Austria"},{"name":"Department of Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4913-0255","authenticated-orcid":false,"given":"Mariette","family":"Vreugdenhil","sequence":"additional","affiliation":[{"name":"Department of Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4855-6273","authenticated-orcid":false,"given":"Sebastian","family":"Hahn","sequence":"additional","affiliation":[{"name":"Department of Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7704-6857","authenticated-orcid":false,"given":"Wolfgang","family":"Wagner","sequence":"additional","affiliation":[{"name":"Centre for Water Resource Systems, TU Wien, 1040 Vienna, Austria"},{"name":"Department of Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8693-9304","authenticated-orcid":false,"given":"Peter","family":"Strauss","sequence":"additional","affiliation":[{"name":"Institute for Land and Water Management Research, Federal Agency for Water Management Austria, 3252 Petzenkirchen, Austria"}]},{"given":"G\u00fcnter","family":"Bl\u00f6schl","sequence":"additional","affiliation":[{"name":"Centre for Water Resource Systems, TU Wien, 1040 Vienna, Austria"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6874","DOI":"10.1002\/2013WR014639","article-title":"The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models","volume":"50","author":"Wanders","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2343","DOI":"10.5194\/hess-18-2343-2014","article-title":"The suitability of remotely sensed soil moisture for improving operational flood forecasting","volume":"18","author":"Wanders","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1881","DOI":"10.5194\/hess-14-1881-2010","article-title":"Improving runoff prediction through the assimilation of the ASCAT soil moisture product","volume":"14","author":"Brocca","year":"2010","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_4","first-page":"22","article-title":"A review of soil moisture sensors","volume":"886","author":"Ling","year":"2004","journal-title":"Assn. Flor. Prof. Bull."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.agwat.2014.10.015","article-title":"Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems","volume":"148","author":"Soulis","year":"2015","journal-title":"Agric. Water Manag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1126\/science.1100217","article-title":"Regions of strong coupling between soil moisture and precipitation","volume":"305","author":"Koster","year":"2004","journal-title":"Science"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1515\/johh-2015-0016","article-title":"Rainfall estimation from in situ soil moisture observations at several sites in Europe: An evaluation of the SM2RAIN algorithm","volume":"63","author":"Brocca","year":"2015","journal-title":"J. Hydrol. Hydromech."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1175\/1520-0477-83.8.1181","article-title":"The drought monitor","volume":"83","author":"Svoboda","year":"2002","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1175\/JHM-D-12-0160.1","article-title":"A nonparametric multivariate multi-index drought monitoring framework","volume":"15","author":"Hao","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.rse.2016.02.064","article-title":"Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index","volume":"177","author":"Gumuzzio","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1038\/nature08238","article-title":"Satellite-based estimates of groundwater depletion in India","volume":"460","author":"Rodell","year":"2009","journal-title":"Nature"},{"key":"ref_12","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_13","doi-asserted-by":"crossref","first-page":"315","DOI":"10.5194\/isprsannals-I-7-315-2012","article-title":"Fusion of active and passive microwave observations to create an essential climate variable data record on soil moisture","volume":"7","author":"Wagner","year":"2012","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_14","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_15","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_16","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":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_17","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_18","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_19","doi-asserted-by":"crossref","first-page":"2346","DOI":"10.1002\/hyp.8316","article-title":"On the potential of MetOp ASCAT-derived soil wetness indices as a new aperture for hydrological monitoring and prediction: A field evaluation over Luxembourg","volume":"26","author":"Matgen","year":"2012","journal-title":"Hydrol. Process."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"115","DOI":"10.5194\/hess-13-115-2009","article-title":"An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France","volume":"13","author":"Albergel","year":"2009","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3390","DOI":"10.1016\/j.rse.2011.08.003","article-title":"Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe","volume":"115","author":"Brocca","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1901","DOI":"10.1109\/TGRS.2013.2282172","article-title":"Clarifications on the \u201cComparison between SMOS, VUA, ASCAT, and ECMWF soil moisture products over four watersheds in US\u201d","volume":"52","author":"Wagner","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"141","DOI":"10.5194\/hess-14-141-2010","article-title":"Soil moisture active and passive microwave products: Intercomparison and evaluation over a Sahelian site","volume":"14","author":"Gruhier","year":"2009","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"173","DOI":"10.5194\/hess-18-173-2014","article-title":"Integrating ASCAT surface soil moisture and GEOV1 leaf area index into the SURFEX modelling platform: A land data assimilation application over France","volume":"18","author":"Barbu","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2348","DOI":"10.1109\/JSTARS.2016.2628523","article-title":"Dynamic characterization of the incidence angle dependence of backscatter using metop ASCAT","volume":"10","author":"Hahn","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3513","DOI":"10.1109\/TGRS.2016.2519842","article-title":"Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval","volume":"54","author":"Vreugdenhil","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Liu, Y.Y., de Jeu, R.A., McCabe, M.F., Evans, J.P., and van Dijk, A.I. (2011). Global long-term passive microwave satellite-based retrievals of vegetation optical depth. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL048684"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.rse.2016.02.056","article-title":"Remote sensing of vegetation dynamics in drylands: Evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel","volume":"177","author":"Tian","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"227","DOI":"10.5194\/hess-20-227-2016","article-title":"The Hydrological Open Air laboratory (HOAL) in Petzenkirchen: A hypothesis-driven observatory","volume":"20","author":"Blaschke","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_30","unstructured":"Bontemps, S., Defourny, P., Radoux, J., Van Bogaert, E., Lamarche, C., Achard, F., Mayaux, P., Boettcher, M., Brockmann, C., and Kirches, G. (2013, January 9\u201313). Consistent global land cover maps for climate modelling communities: Current achievements of the ESA\u2019s land cover CCI. Proceedings of the ESA Living Planet Symposium, Edinburgh, UK."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1109\/36.739155","article-title":"Monitoring soil moisture over the Canadian Prairies with the ERS scatterometer","volume":"37","author":"Wagner","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1109\/36.752212","article-title":"A study of vegetation cover effects on ERS scatterometer data","volume":"37","author":"Wagner","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","unstructured":"Melzer, T. (2013, January 16\u201320). Vegetation modelling in WARP 6.0. Proceedings of the EUMETSAT Meteorological Satellite Conference, Vienna, Austria."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2240","DOI":"10.1109\/JSTARS.2016.2618838","article-title":"Assessing vegetation dynamics over mainland Australia with metop ASCAT","volume":"10","author":"Vreugdenhil","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Owe, M., de Jeu, R., and Holmes, T. (2008). Multisensor historical climatology of satellite-derived global land surface moisture. J. Geophys. Res. Earth Surf., 113.","DOI":"10.1029\/2007JF000769"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.rse.2015.02.002","article-title":"A global comparison of alternate AMSR2 soil moisture products: Why do they differ?","volume":"161","author":"Kim","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4079","DOI":"10.5194\/hess-16-4079-2012","article-title":"COSMOS: The cosmic-ray soil moisture observing system","volume":"16","author":"Zreda","year":"2012","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.rse.2016.10.050","article-title":"Does AMSR2 produce better soil moisture retrievals than AMSR-E over Australia?","volume":"188","author":"Cho","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"423","DOI":"10.3741\/JKWRA.2016.49.5.423","article-title":"Evaluation of satellite-based soil moisture retrieval over the korean peninsula: Using AMSR2 LPRM algorithm and ground measurement data","volume":"49","author":"Kim","year":"2016","journal-title":"J. Korea Water Resour. Assoc."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1109\/LGRS.2017.2722542","article-title":"Validation and Comparison of LPRM Retrieved Soil Moisture Using AMSR2 Brightness Temperature at Two Spatial Resolutions in the Indian Region","volume":"14","author":"Anoop","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.rse.2017.04.019","article-title":"A comparison of SMOS and AMSR2 soil moisture using representative sites of the OzNet monitoring network","volume":"195","author":"Yee","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Cui, C., Xu, J., Zeng, J., Chen, K.S., Bai, X., Lu, H., Chen, Q., and Zhao, T. (2017). Soil moisture mapping from satellites: An intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over two dense network regions at different spatial scales. Remote Sens., 10.","DOI":"10.3390\/rs10010033"},{"key":"ref_43","unstructured":"Han, E., Crow, W., Holmes, T., and Bolten, J. (2012). Relative Skills of Soil Moisture and Vegetation Optical Depth Retrievals for Agricultural Drought Monitoring. AGU Fall Meeting Abstracts, American Geophysical Union."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1111\/geb.12024","article-title":"Global vegetation biomass change (1988\u20132008) and attribution to environmental and human drivers","volume":"22","author":"Liu","year":"2013","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1029\/JB079i002p00317","article-title":"Remote sensing of soil moisture with microwave radiometers","volume":"79","author":"Schmugge","year":"1974","journal-title":"J. Geophys. Res."},{"key":"ref_46","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_47","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.rse.2017.06.037","article-title":"L-band vegetation optical depth and effective scattering albedo estimation from SMAP","volume":"198","author":"Konings","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_48","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_49","doi-asserted-by":"crossref","first-page":"4994","DOI":"10.1109\/TGRS.2016.2561938","article-title":"Assessment of the SMAP passive soil moisture product","volume":"54","author":"Chan","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_50","unstructured":"Chan, S., Hunt, R., Bindlish, R., Njoku, E., Kimball, J., and Jackson, T. (2018, November 10). Ancillary Data Report for Vegetation Water Content. SMAP Proj. Doc., JPL D-53061. SMAP Data Documents, Available online: https:\/\/smap.jpl.nasa.gov\/system\/internal_resources\/details\/original\/289_047_veg_water.pdf."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.1080\/01431161.2014.883097","article-title":"PROBA-V mission for global vegetation monitoring: Standard products and image quality","volume":"35","author":"Dierckx","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_52","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_53","doi-asserted-by":"crossref","unstructured":"Bartalis, Z., Wagner, W., Naeimi, V., Hasenauer, S., Scipal, K., Bonekamp, H., Figa, J., and Anderson, C. (2007). Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT). Geophys. Res. Lett., 34.","DOI":"10.1029\/2007GL031088"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.5194\/hess-12-1323-2008","article-title":"From near-surface to root-zone soil moisture using an exponential filter: An assessment of the method based on in-situ observations and model simulations","volume":"12","author":"Albergel","year":"2008","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_55","unstructured":"Wagner, W. (1998). Soil Moisture Retrieval from ERS Scatterometer Data. [Ph.D. Thesis, Citeseer]."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.rse.2013.07.021","article-title":"Comparison between SMOS Vegetation Optical Depth products and MODIS vegetation indices over crop zones of the USA","volume":"140","author":"Lawrence","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1016\/j.rse.2010.12.015","article-title":"Satellite passive microwave remote sensing for monitoring global land surface phenology","volume":"115","author":"Jones","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3111","DOI":"10.1111\/gcb.12288","article-title":"Satellite microwave detection of boreal forest recovery from the extreme 2004 wildfires in A laska and C anada","volume":"19","author":"Jones","year":"2013","journal-title":"Glob. Chang. Boil."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.rse.2012.03.025","article-title":"Satellite passive microwave detection of North America start of season","volume":"123","author":"Jones","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2136\/vzj2011.0006","article-title":"HOBE: A hydrological observatory","volume":"10","author":"Jensen","year":"2011","journal-title":"Vadose Zone J."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.5194\/hess-16-1445-2012","article-title":"A soil moisture and temperature network for SMOS validation in Western Denmark","volume":"16","author":"Bircher","year":"2012","journal-title":"Hydrol. Earth Syst. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1788\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:29:07Z","timestamp":1760196547000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1788"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,11]]},"references-count":61,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["rs10111788"],"URL":"https:\/\/doi.org\/10.3390\/rs10111788","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2018,11,11]]}}}