{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:51:57Z","timestamp":1771037517418,"version":"3.50.1"},"reference-count":50,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000844","name":"European Space Agency (ESA) for airborne data acquisition within the framework of the FLEXSense campaign","doi-asserted-by":"publisher","award":["4000125402\/18\/NL\/NA"],"award-info":[{"award-number":["4000125402\/18\/NL\/NA"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"European Space Agency (ESA) for airborne data acquisition within the framework of the FLEXSense campaign","doi-asserted-by":"publisher","award":["4000125442\/18\/I-NS"],"award-info":[{"award-number":["4000125442\/18\/I-NS"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"European Space Agency (ESA) for airborne data acquisition within the framework of the FLEXSense campaign","doi-asserted-by":"publisher","award":["EXC 2070\u2013390732324"],"award-info":[{"award-number":["EXC 2070\u2013390732324"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"Living Planet Fellowship of the European Space Agency","doi-asserted-by":"publisher","award":["4000125402\/18\/NL\/NA"],"award-info":[{"award-number":["4000125402\/18\/NL\/NA"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"Living Planet Fellowship of the European Space Agency","doi-asserted-by":"publisher","award":["4000125442\/18\/I-NS"],"award-info":[{"award-number":["4000125442\/18\/I-NS"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"Living Planet Fellowship of the European Space Agency","doi-asserted-by":"publisher","award":["EXC 2070\u2013390732324"],"award-info":[{"award-number":["EXC 2070\u2013390732324"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u2019s Excellence Strategy","award":["4000125402\/18\/NL\/NA"],"award-info":[{"award-number":["4000125402\/18\/NL\/NA"]}]},{"name":"Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u2019s Excellence Strategy","award":["4000125442\/18\/I-NS"],"award-info":[{"award-number":["4000125442\/18\/I-NS"]}]},{"name":"Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u2019s Excellence Strategy","award":["EXC 2070\u2013390732324"],"award-info":[{"award-number":["EXC 2070\u2013390732324"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The upcoming Fluorescence Explorer (FLEX) mission will provide sun-induced fluorescence (SIF) products at unprecedented spatial resolution. Thus, accurate calibration and validation (cal\/val) of these products are key to guarantee robust SIF estimates for the assessment and quantification of photosynthetic processes. In this study, we address one specific component of the uncertainty budget related to SIF retrieval: the spatial representativeness of in situ SIF observations compared to medium-resolution SIF products (e.g., 300 m pixel size). Here, we propose an approach to evaluate an optimal sampling strategy to characterise the spatial representativeness of in situ SIF observations based on high-spatial-resolution SIF data. This approach was applied for demonstration purposes to two agricultural areas that have been extensively characterized with a HyPlant airborne imaging spectrometer in recent years. First, we determined the spatial representativeness of an increasing number of sampling points with respect to a reference area (either monocultural crop fields or hypothetical FLEX pixels characterised by different land cover types). Then, we compared different sampling approaches to determine which strategy provided the most representative reference data for a given area. Results show that between 3 and 13.5 sampling points are needed to characterise the average SIF value of both monocultural fields and hypothetical FLEX pixels of the agricultural areas considered in this study. The number of sampling points tends to increase with the standard deviation of SIF of the reference area, as well as with the number of land cover classes in a FLEX pixel, even if the increase is not always statistically significant. This study contributes to guiding cal\/val activities for the upcoming FLEX mission, providing useful insights for the selection of the validation site network and particularly for the definition of the best sampling scheme for each site.<\/jats:p>","DOI":"10.3390\/rs14205107","type":"journal-article","created":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T22:45:29Z","timestamp":1665614729000},"page":"5107","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Evaluation of the Spatial Representativeness of In Situ SIF Observations for the Validation of Medium-Resolution Satellite SIF Products"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6052-3140","authenticated-orcid":false,"given":"Micol","family":"Rossini","sequence":"first","affiliation":[{"name":"Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7249-7106","authenticated-orcid":false,"given":"Marco","family":"Celesti","sequence":"additional","affiliation":[{"name":"Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy"},{"name":"HE Space for ESA\u2014European Space Agency, European Space Research and Technology Centre (ESA-ESTEC), 2201 AZ Noordwijk, The Netherlands"}]},{"given":"Gabriele","family":"Bramati","sequence":"additional","affiliation":[{"name":"Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy"}]},{"given":"Mirco","family":"Migliavacca","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Biogeochemistry, Hans Kn\u00f6ll Stra\u00dfe 10, D-07745 Jena, Germany"},{"name":"European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7192-2032","authenticated-orcid":false,"given":"Sergio","family":"Cogliati","sequence":"additional","affiliation":[{"name":"Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9993-4588","authenticated-orcid":false,"given":"Uwe","family":"Rascher","sequence":"additional","affiliation":[{"name":"Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum J\u00fclich GmbH, Wilhelm-Johnen-Stra\u00dfe, 52428 J\u00fclich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3997-0576","authenticated-orcid":false,"given":"Roberto","family":"Colombo","sequence":"additional","affiliation":[{"name":"Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1146\/annurev.arplant.59.032607.092759","article-title":"Chlorophyll Fluorescence: A Probe of Photosynthesis in Vivo","volume":"59","author":"Baker","year":"2008","journal-title":"Annu. Rev. Plant Biol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2020.112121","article-title":"Advances in Hyperspectral Remote Sensing of Vegetation Traits and Functions","volume":"252","author":"Zhang","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2803","DOI":"10.5194\/amt-6-2803-2013","article-title":"Global Monitoring of Terrestrial Chlorophyll Fluorescence from Moderate-Spectral-Resolution near-Infrared Satellite Measurements: Methodology, Simulations, and Application to GOME-2","volume":"6","author":"Joiner","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3939","DOI":"10.5194\/amt-9-3939-2016","article-title":"New Methods for the Retrieval of Chlorophyll Red Fluorescence from Hyperspectral Satellite Instruments: Simulations and Application to GOME-2 and SCIAMACHY","volume":"9","author":"Joiner","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_5","first-page":"10456","article-title":"Global Retrievals of Solar-Induced Chlorophyll Fluorescence With TROPOMI: First Results and Intersensor Comparison to OCO-2","volume":"45","author":"Frankenberg","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1016\/j.rse.2018.02.016","article-title":"Overview of Solar-Induced Chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, Cross-Mission Comparison, and Global Monitoring for GPP","volume":"209","author":"Sun","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1502","DOI":"10.1016\/j.scib.2018.10.003","article-title":"Retrieval of Global Terrestrial Solar-Induced Chlorophyll Fluorescence from TanSat Satellite","volume":"63","author":"Du","year":"2018","journal-title":"Sci. Bull."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1109\/TGRS.2016.2621820","article-title":"Concept\u2014ESA\u2019s Earth Explorer 8","volume":"55","author":"Drusch","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.rse.2014.08.013","article-title":"Validation of Land Surface Temperature Products Derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) Using Ground-Based and Heritage Satellite Measurements","volume":"154","author":"Guillevic","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.1109\/TGRS.2006.872529","article-title":"Validation of Global Moderate-Resolution LAI Products: A Framework Proposed within the CEOS Land Product Validation Subgroup","volume":"44","author":"Morisette","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Niro, F., Goryl, P., Dransfeld, S., Boccia, V., Gascon, F., Adams, J., Themann, B., Scifoni, S., and Doxani, G. (2021). European Space Agency (Esa) Calibration\/Validation Strategy for Optical Land-Imaging Satellites and Pathway towards Interoperability. Remote Sens., 13.","DOI":"10.3390\/rs13153003"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"112984","DOI":"10.1016\/j.rse.2022.112984","article-title":"Towards Consistent Assessments of in Situ Radiometric Measurements for the Validation of Fluorescence Satellite Missions","volume":"274","author":"Buman","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Julitta, T., Corp, L.A., Rossini, M., Burkart, A., Cogliati, S., Davies, N., Hom, M., Arthur, A.M., Middleton, E.M., and Rascher, U. (2016). Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers. Remote Sens., 8.","DOI":"10.3390\/rs8020122"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"6103","DOI":"10.5194\/bg-12-6103-2015","article-title":"EUROSPEC: At the Interface between Remote-Sensing and Ecosystem CO2 Flux Measurements in Europe","volume":"12","author":"Rossini","year":"2015","journal-title":"Biogeosciences"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Cendrero-Mateo, M.P., Wieneke, S., Damm, A., Alonso, L., Pinto, F., Moreno, J., Guanter, L., Celesti, M., Rossini, M., and Sabater, N. (2019). Sun-Induced Chlorophyll Fluorescence III: Benchmarking Retrieval Methods and Sensor Characteristics for Proximal Sensing. Remote Sens., 11.","DOI":"10.3390\/rs11080962"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"7954","DOI":"10.3390\/s110807954","article-title":"Ground-Based Optical Measurements at European Flux Sites: A Review of Methods, Instruments and Current Controversies","volume":"11","author":"Balzarolo","year":"2011","journal-title":"Sensors"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2020JG006158","article-title":"Performance of Singular Spectrum Analysis in Separating Seasonal and Fast Physiological Dynamics of Solar-Induced Chlorophyll Fluorescence and PRI Optical Signals","volume":"126","author":"Biriukova","year":"2021","journal-title":"J. Geophys. Res. Biogeosciences"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1111\/nph.17920","article-title":"Heatwave Breaks down the Linearity between Sun-Induced Fluorescence and Gross Primary Production","volume":"233","author":"Martini","year":"2022","journal-title":"New Phytol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.rse.2018.07.002","article-title":"PhotoSpec: A New Instrument to Measure Spatially Distributed Red and Far-Red Solar-Induced Chlorophyll Fluorescence","volume":"216","author":"Grossmann","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_20","unstructured":"MacArthur, A., Robinson, I., Rossini, M., Davis, N., and MacDonald, K. (2014, January 22\u201324). Edinburgh Research Explorer A Dual-Field-of-View Spectrometer System for Reflectance and Fluorescence Measurements (Piccolo Doppio) and Correction of Etaloning Citation for Published Version: A DUAL-FIELD-OF-VIEW SPECTROMETER SYSTEM FOR REFLECTANCE AND FL. Proceedings of the Fifth International Workshop on Remote Sensing of Vegetation Fluorescence, Paris, France."},{"key":"ref_21","first-page":"8248","article-title":"Sun Induced Fluorescence Calibration and Validation for Field Phenotyping","volume":"2018-July","author":"Bennertz","year":"2018","journal-title":"Int. Geosci. Remote Sens. Symp."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1111\/nph.15796","article-title":"Sun-Induced Chl Fluorescence and Its Importance for Biophysical Modeling of Photosynthesis Based on Light Reactions","volume":"223","author":"Gu","year":"2019","journal-title":"New Phytol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3085","DOI":"10.1109\/TGRS.2019.2947703","article-title":"Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System","volume":"58","author":"Gautam","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Garzonio, R., di Mauro, B., Colombo, R., and Cogliati, S. (2017). Surface Reflectance and Sun-Induced Fluorescence Spectroscopy Measurements Using a Small Hyperspectral UAS. Remote Sens., 9.","DOI":"10.3390\/rs9050472"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"108145","DOI":"10.1016\/j.agrformet.2020.108145","article-title":"An Unmanned Aerial System (UAS) for Concurrent Measurements of Solar-Induced Chlorophyll Fluorescence and Hyperspectral Reflectance toward Improving Crop Monitoring","volume":"294","author":"Chang","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Wang, N., Suomalainen, J., Bartholomeus, H., Kooistra, L., Masili\u016bnas, D., and Clevers, J.G.P.W. (2021). Diurnal Variation of Sun-Induced Chlorophyll Fluorescence of Agricultural Crops Observed from a Point-Based Spectrometer on a UAV. Int. J. Appl. Earth Obs. Geoinf., 96.","DOI":"10.1016\/j.jag.2020.102276"},{"key":"ref_27","first-page":"102712","article-title":"Influences of Fractional Vegetation Cover on the Spatial Variability of Canopy SIF from Unmanned Aerial Vehicle Observations","volume":"107","author":"Zhang","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_28","unstructured":"Baret, F., Weiss, M., Allard, D., Garrigues, S., Leroy, M., Jeanjean, H., Fernandes, R., Myneni, R., Privette, J., and Morisette, J. (2021). VALERI: A Network of Sites and a Methodology for the Validation of Medium Spatial Resolution Land Satellite Products. Remote Sens. Environ. Is J., hal-03221068."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Lv, T., Zhou, X., Tao, Z., Sun, X., Wang, J., Li, R., and Xie, F. (2021). Remote Sensing-Guided Spatial Sampling Strategy over Heterogeneous Surface Ground for Validation of Vegetation Indices Products with Medium and High Spatial Resolution. Remote Sens., 13.","DOI":"10.3390\/rs13142674"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1175\/BAMS-D-13-00134.1","article-title":"Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil-Vegetation-Atmosphere System","volume":"96","author":"Simmer","year":"2015","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_31","first-page":"55","article-title":"Multi-Data Approach for Remote Sensing-Based Regional Crop Rotation Mapping: A Case Study for the Rur Catchment, Germany","volume":"61","author":"Waldhoff","year":"2017","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_32","unstructured":"Lussem, U., and Herbrecht, M. (2019). Land use classification of 2018 for the Rur catchment. TR32DB."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4673","DOI":"10.1111\/gcb.13017","article-title":"Sun-Induced Fluorescence - a New Probe of Photosynthesis: First Maps from the Imaging Spectrometer HyPlant","volume":"21","author":"Rascher","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1632","DOI":"10.1002\/2014GL062943","article-title":"Red and Far Red Sun-Induced Chlorophyll Fluorescence as a Measure of Plant Photosynthesis","volume":"42","author":"Rossini","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.rse.2015.08.022","article-title":"Retrieval of Sun-Induced Fluorescence Using Advanced Spectral Fitting Methods","volume":"169","author":"Cogliati","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Siegmann, B., Alonso, L., Celesti, M., Cogliati, S., Colombo, R., Damm, A., Douglas, S., Guanter, L., Hanu\u0161, J., and Kataja, K. (2019). The High-Performance Airborne Imaging Spectrometer HyPlant-from Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain. Remote Sens., 11.","DOI":"10.3390\/rs11232760"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2858","DOI":"10.1364\/AO.49.002858","article-title":"Characterization of Fine Resolution Field Spectrometers Using Solar Fraunhofer Lines and Atmospheric Absorption Features","volume":"49","author":"Meroni","year":"2010","journal-title":"Appl. Opt."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2631","DOI":"10.1080\/01431160110115834","article-title":"Geo-Atmospheric Processing of Airborne Imaging Spectrometry Data. Part 2: Atmospheric\/Topographic Correction","volume":"23","author":"Richter","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s11104-007-9358-6","article-title":"Evaluating Spatial within Plot Crop Variability for Different Management Practices with an Optical Sensor?","volume":"299","author":"Govaerts","year":"2007","journal-title":"Plant Soil"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.biosystemseng.2004.08.019","article-title":"Estimating Tiller Density and Leaf Area Index of Winter Wheat Using Spectral Reflectance and Ultrasonic Sensing Techniques","volume":"89","author":"Scotford","year":"2004","journal-title":"Biosyst. Eng."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Vargas, J.Q., Bendig, J., Arthur, A.M., Burkart, A., Julitta, T., Maseyk, K., Thomas, R., Siegmann, B., Rossini, M., and Celesti, M. (2020). Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art. Remote Sens., 12.","DOI":"10.3390\/rs12101624"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1071\/FP16165","article-title":"The ETH Field Phenotyping Platform FIP: A Cable-Suspended Multi-Sensor System","volume":"44","author":"Kirchgessner","year":"2017","journal-title":"Funct. Plant Biol."},{"key":"ref_43","unstructured":"ESA (European Space Agency) (2018). FLEX Earth Explorer 8 Mission Requirements Document, Version 3.0, Issue Date 05\/06\/2018, ESA Earth and Mission Science Division. Ref: ESAEOP- SM\/2221\/MDru-md."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"111209","DOI":"10.1016\/j.rse.2019.05.028","article-title":"A Practical Approach for Estimating the Escape Ratio of Near-Infrared Solar-Induced Chlorophyll Fluorescence","volume":"232","author":"Zeng","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"112856","DOI":"10.1016\/j.rse.2021.112856","article-title":"Combining Near-Infrared Radiance of Vegetation and Fluorescence Spectroscopy to Detect Effects of Abiotic Changes and Stresses","volume":"270","author":"Zeng","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"100019","DOI":"10.1016\/j.srs.2021.100019","article-title":"UAV & Satellite Synergies for Optical Remote Sensing Applications: A Literature Review","volume":"3","author":"Corpetti","year":"2021","journal-title":"Sci. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Sabater, N., Vicent, J., Alonso, L., Verrelst, J., Middleton, E.M., Porcar-Castell, A., and Moreno, J. (2018). Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy-Leaving Sun-Induced Chlorophyll Fluorescence. Remote Sens., 10.","DOI":"10.3390\/rs10101551"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.isprsjprs.2021.12.006","article-title":"UAV in the Advent of the Twenties: Where We Stand and What Is Next","volume":"184","author":"Nex","year":"2022","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Lu, H., Fan, T., Ghimire, P., and Deng, L. (2020). Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors. Remote Sens., 12.","DOI":"10.3390\/rs12162542"},{"key":"ref_50","first-page":"1","article-title":"Sentinel-5P TROPOMI Mission","volume":"202104","author":"Guanter","year":"2021","journal-title":"Earth Syst. Sci. Data"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/20\/5107\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:53:02Z","timestamp":1760143982000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/20\/5107"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,12]]},"references-count":50,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["rs14205107"],"URL":"https:\/\/doi.org\/10.3390\/rs14205107","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,12]]}}}