{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T01:01:20Z","timestamp":1776128480375,"version":"3.50.1"},"reference-count":59,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T00:00:00Z","timestamp":1608595200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNH17ZDA001N-TASNPP"],"award-info":[{"award-number":["NNH17ZDA001N-TASNPP"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The NASA Aqua MODIS and Suomi National Polar-Orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) climate data record continuity cloud properties products (CLDPROP) were publicly released in April 2019 with an update later that year (Version 1.1). These cloud products, having heritage with the NASA Moderate-resolution Imaging Spectroradiometer (MODIS) MOD06 cloud optical properties product and the NOAA GOES-R Algorithm Working Group (AWG) Cloud Height Algorithm (ACHA), represent an effort to bridge the multispectral imager records of NASA\u2019s Earth Observing System (EOS) and NOAA\u2019s current generation of operational weather satellites to achieve a continuous, multi-decadal climate data record for clouds that can extend well into the 2030s. CLDPROP offers a \u201ccontinuity of approach,\u201d applying common algorithms and ancillary datasets to both MODIS and VIIRS, including utilizing only a subset of spectral channels available on both sensors to help mitigate instrument differences. The initial release of the CLDPROP_MODIS and CLDPROP_VIIRS data records spans the SNPP observational record (2012-present). Here, we present an overview of the algorithms and an evaluation of the intersensor continuity of the core CLDPROP_MODIS and CLDPROP_VIIRS cloud optical property datasets, i.e., cloud thermodynamic phase, optical thickness, effective particle size, and derived water path. The evaluation includes analyses of pixel-level MODIS\/VIIRS co-locations as well as spatial and temporal aggregated statistics, with a focus on identifying and understanding the root causes of individual dataset discontinuities. The results of this evaluation will inform future updates to the CLDPROP products and help scientific users determine the appropriate use of the product datasets for their specific needs.<\/jats:p>","DOI":"10.3390\/rs13010002","type":"journal-article","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T20:39:29Z","timestamp":1608669569000},"page":"2","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3964-3567","authenticated-orcid":false,"given":"Steven","family":"Platnick","sequence":"first","affiliation":[{"name":"Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5361-9200","authenticated-orcid":false,"given":"Kerry","family":"Meyer","sequence":"additional","affiliation":[{"name":"Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1001-3724","authenticated-orcid":false,"given":"Galina","family":"Wind","sequence":"additional","affiliation":[{"name":"Science Systems Applications Inc., Lanham, MD 20706, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5443-4953","authenticated-orcid":false,"given":"Robert E.","family":"Holz","sequence":"additional","affiliation":[{"name":"Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, USA"}]},{"given":"Nandana","family":"Amarasinghe","sequence":"additional","affiliation":[{"name":"Science Systems Applications Inc., Lanham, MD 20706, USA"}]},{"given":"Paul A.","family":"Hubanks","sequence":"additional","affiliation":[{"name":"ADNET Systems Inc., Bethesda, MD 20817, USA"}]},{"given":"Benjamin","family":"Marchant","sequence":"additional","affiliation":[{"name":"University Space Research Association, Columbia, MD 21046, USA"}]},{"given":"Steven","family":"Dutcher","sequence":"additional","affiliation":[{"name":"Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4721-8651","authenticated-orcid":false,"given":"Paolo","family":"Veglio","sequence":"additional","affiliation":[{"name":"Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, USA"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1109\/36.20292","article-title":"MODIS: Advanced facility instrument for studies of the Earth as a system","volume":"27","author":"Salomonson","year":"1989","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"583","DOI":"10.2151\/jmsj1965.60.1_583","article-title":"Spectral Reflectance of Clouds in the Near-Infrared: Comparison of Measurements and Calculations","volume":"60","author":"Twomey","year":"1982","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1175\/1520-0450(1985)024<0322:ROCCPF>2.0.CO;2","article-title":"Retrieval of Cloud Cover Parameters from Multispectral Satellite Images","volume":"24","author":"Arking","year":"1985","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1175\/1520-0469(1990)047<1878:DOTOTA>2.0.CO;2","article-title":"Determination of the optical-thickness and effective particle radius of clouds from reflected solar-radiation measurements. Part 1: Theory","volume":"47","author":"Nakajima","year":"1990","journal-title":"J. Atmos. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1175\/1520-0450(1983)022<0377:ICMWVA>2.0.CO;2","article-title":"Improved Cloud Motion Wind Vector and Altitude Assignment Using VAS","volume":"22","author":"Menzel","year":"1983","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1175\/2007JAMC1705.1","article-title":"MODIS Global Cloud-Top Pressure and Amount Estimation: Algorithm Description and Results","volume":"47","author":"Menzel","year":"2009","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1029\/93GL00106","article-title":"Cirrus cloud detection from Airborne Imaging Spectrometer data using the 1.38 \u00b5m water vapor band","volume":"20","author":"Gao","year":"1993","journal-title":"Geophys. Res. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4231","DOI":"10.1175\/1520-0469(1995)052<4231:SOTMCF>2.0.CO;2","article-title":"Selection of the 1.375-mu m MODIS channel for remote sensing of cirrus clouds and stratospheric aerosols from space","volume":"52","author":"Gao","year":"1995","journal-title":"J. Atmos. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Meyer, K., and Platnick, S. (2010). Utilizing the MODIS 1.38 \u03bcm channel for cirrus cloud optical thickness retrievals: Algorithm and retrieval uncertainties. J. Geophys. Res. Atmos., 115.","DOI":"10.1029\/2010JD014872"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"32141","DOI":"10.1029\/1998JD200032","article-title":"Discriminating clear sky from clouds with MODIS","volume":"103","author":"Ackerman","year":"1998","journal-title":"J. Geophys. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1175\/2008JTECHA1052.1","article-title":"Cloud Detection with MODIS. Part I: Improvements in the MODIS Cloud Mask for Collection 5","volume":"25","author":"Frey","year":"2008","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1175\/2007JTECHA1053.1","article-title":"Cloud Detection with MODIS. Part II: Validation","volume":"25","author":"Ackerman","year":"2008","journal-title":"J. Atmospheric Ocean. Technol."},{"key":"ref_13","unstructured":"Ackerman, S.A., Frey, R., Strabala, K.I., Liu, Y., Gumley, L.E., Baum, B., and Menzel, W.P. (2010). Discriminating Clear-Sky from Cloud with MODIS\u2014Algorithm Theoretical Basis Document."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1175\/JAMC-D-11-0203.1","article-title":"MODIS Cloud-Top Property Refinements for Collection 6","volume":"51","author":"Baum","year":"2012","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1109\/TGRS.2002.808301","article-title":"The MODIS cloud products: Algorithms and examples from terra","volume":"41","author":"Platnick","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1109\/TGRS.2016.2610522","article-title":"The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples from Terra and Aqua","volume":"55","author":"Platnick","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.1175\/BAMS-D-12-00149.1","article-title":"Achieving Climate Change Absolute Accuracy in Orbit","volume":"94","author":"Wielicki","year":"2013","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2315","DOI":"10.1175\/2010JAMC2364.1","article-title":"Multilayer Cloud Detection with the MODIS Near-Infrared Water Vapor Absorption Band","volume":"49","author":"Wind","year":"2010","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3531","DOI":"10.1364\/AO.32.003531","article-title":"Refractive-indexes of water and ice in the 0.65- to 2.5-\u00b5m spectral range","volume":"32","author":"Kou","year":"1993","journal-title":"Appl. Opt."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Platnick, S., Meyer, K., Amarasinghe, N., Wind, G., Hubanks, P., and Holz, R. (2020). Sensitivity of Multispectral Imager Liquid Water Cloud Microphysical Retrievals to the Index of Refraction. Remote Sens., 12.","DOI":"10.3390\/rs12244165"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1175\/BAMS-D-12-00117.1","article-title":"Assessment of Global Cloud Datasets from Satellites: Project and Database Initiated by the GEWEX Radiation Panel","volume":"94","author":"Stubenrauch","year":"2013","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2839","DOI":"10.5194\/amt-7-2839-2014","article-title":"Remote sensing of cloud top pressure\/height from SEVIRI: Analysis of ten current retrieval algorithms","volume":"7","author":"Hamann","year":"2014","journal-title":"Atmos. Meas. Tech."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"ES71","DOI":"10.1175\/BAMS-D-14-00184.1","article-title":"Summary of the Fourth Cloud Retrieval Evaluation Workshop","volume":"96","author":"Roebeling","year":"2015","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1175\/2008JAMC1882.1","article-title":"Gazing at Cirrus Clouds for 25 Years through a Split Window. Part I: Methodology","volume":"48","author":"Heidinger","year":"2009","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1175\/JTECH-D-18-0079.1","article-title":"Using Sounder Data to Improve Cirrus Cloud Height Estimation from Satellite Imagers","volume":"36","author":"Heidinger","year":"2019","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Frey, R.A., Ackerman, S.A., Holz, R.E., Dutcher, S., and Griffith, Z. (2020). The Continuity MODIS-VIIRS Cloud Mask. Remote Sens., 12.","DOI":"10.3390\/rs12203334"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4374","DOI":"10.1109\/TGRS.2011.2144601","article-title":"CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data\u2014Part I: Algorithms","volume":"49","author":"Minnis","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4401","DOI":"10.1109\/TGRS.2011.2144602","article-title":"CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data\u2014Part II: Examples of Average Results and Comparisons With Other Data","volume":"49","author":"Minnis","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1175\/1520-0426(2004)021<0857:RSOLWA>2.0.CO;2","article-title":"Remote Sensing of Liquid Water and Ice Cloud Optical Thickness and Effective Radius in the Arctic: Application of Airborne Multispectral MAS Data","volume":"21","author":"King","year":"2004","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"King, M.D., Platnick, S., Wind, G., Arnold, G.T., and Dominguez, R.T. (2010). Remote sensing of radiative and microphysical properties of clouds during TC4: Results from MAS, MASTER, MODIS, and MISR. J. Geophys. Res. Atmos., 115.","DOI":"10.1029\/2009JD013277"},{"key":"ref_31","unstructured":"(2020, August 08). LAADS DAAC, Available online: https:\/\/ladsweb.modaps.eosdis.nasa.gov\/."},{"key":"ref_32","unstructured":"(2018). Level-1 and Atmosphere Archive & Distribution System, NASA Visible Infrared Imaging Radiometer Suite Level-1B Product User Guide."},{"key":"ref_33","unstructured":"Cao, C., Xiong, X., Wolfe, R., DeLuccia, F., Liu, Q., Blonski, S., Lin, G., Nishihama, M., Pogorzala, D., and Oudrari, H. (2013). Visible Infrared Imaging Radiometer Suite (VIIRS) Sensor Data Record (SDR) User\u2019s Guide, NOAA Technical Report NESDIS 142A."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Meyer, K., Platnick, S., Holz, R., Dutcher, S., Quinn, G., and Nagle, F. (2020). Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products. Remote Sens., 12.","DOI":"10.3390\/rs12244096"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"104345","DOI":"10.1016\/j.cageo.2019.104345","article-title":"The CHIMAERA system for retrievals of cloud top, optical and microphysical properties from imaging sensors","volume":"134","author":"Wind","year":"2020","journal-title":"Comput. Geosci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1785","DOI":"10.5194\/amt-9-1785-2016","article-title":"Uncertainties in cloud phase and optical thickness retrievals from the Earth Polychromatic Imaging Camera (EPIC)","volume":"9","author":"Meyer","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2019","DOI":"10.5194\/amt-12-2019-2019","article-title":"Cloud products from the Earth Polychromatic Imaging Camera (EPIC): Algorithms and initial evaluation","volume":"12","author":"Yang","year":"2019","journal-title":"Atmos. Meas. Tech."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.5194\/amt-9-1743-2016","article-title":"Cirrus cloud optical and microphysical property retrievals from eMAS during SEAC4RS using bi-spectral reflectance measurements within the 1.88 \u00b5m water vapor absorption band","volume":"9","author":"Meyer","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_39","unstructured":"Unidata (2020). Network Common Data Form (netCDF) Version 4, UCAR\/Unidata."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Rodgers, C.D. (2000). Inverse Methods for Atmospheric Sounding: Theory and Practice, World Scientific Publishing Co., Inc.","DOI":"10.1142\/9789812813718"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1364\/AO.12.000555","article-title":"Optical Constants of Water in the 200-nm to 200-\u03bcm Wavelength Region","volume":"12","author":"Hale","year":"1973","journal-title":"Appl. Opt."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1364\/JOSA.64.001107","article-title":"Optical properties of water in the near infrared","volume":"64","author":"Palmer","year":"1974","journal-title":"J. Opt. Soc. Am."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1656","DOI":"10.1029\/JC080i012p01656","article-title":"Optical constants of water in the infrared","volume":"80","author":"Downing","year":"1975","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1175\/JAS-D-12-039.1","article-title":"Spectrally Consistent Scattering, Absorption, and Polarization Properties of Atmospheric Ice Crystals at Wavelengths from 0.2 to 100 \u03bcm","volume":"70","author":"Yang","year":"2013","journal-title":"J. Atmos. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"7099","DOI":"10.1021\/jp051942z","article-title":"Mid-infrared Extinction Spectra and Optical Constants of Supercooled Water Droplets","volume":"109","author":"Wagner","year":"2005","journal-title":"J. Phys. Chem. A"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.5194\/amt-9-1587-2016","article-title":"MODIS Collection 6 shortwave-derived cloud phase classification algorithm and comparisons with CALIOP","volume":"9","author":"Marchant","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Marchant, B., Platnick, S., Meyer, K., and Wind, G. (2020). Evaluation of the Aqua MODIS Collection 6.1 multilayer cloud detection algorithm through comparisons with CloudSat CPR and CALIPSO CALIOP products. Atmos. Meas. Tech.","DOI":"10.5194\/amt-2019-448"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1175\/2099.1","article-title":"Daytime Cloud Overlap Detection from AVHRR and VIIRS","volume":"43","author":"Pavolonis","year":"2004","journal-title":"J. Appl. Meteorol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1175\/1520-0434(1991)006<0538:TNGOAS>2.0.CO;2","article-title":"The New Global Operational Analysis System at the National Meteorological Center","volume":"6","author":"Derber","year":"1991","journal-title":"Weather Forecast."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Ramachandran, B., Justice, C., and Abrams, M. (2011). Aqua and Terra MODIS albedo and reflectance anisotropy products. Land Remote Sensing and Global Environmental Change: NASA\u2019s Earth Observing System and the Science of ASTER and MODIS, Springer.","DOI":"10.1007\/978-1-4419-6749-7"},{"key":"ref_51","unstructured":"Brodzik, M.J., and Stewart, J.S. (2016). Near-Real-Time SSM\/I-SSMIS EASE-Grid Daily Global Ice Concentration and Snow Extent, Version 5."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1175\/2007JAMC1590.1","article-title":"Development of a Global Infrared Land Surface Emissivity Database for Application to Clear Sky Sounding Retrievals from Multispectral Satellite Radiance Measurements","volume":"47","author":"Seemann","year":"2008","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Dey, S., Di Girolamo, L., and Zhao, G. (2008). Scale effect on statistics of the macrophysical properties of trade wind cumuli over the tropical western Atlantic during RICO. J. Geophys. Res. Atmos., 113.","DOI":"10.1029\/2008JD010295"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"4132","DOI":"10.1002\/2015JD023161","article-title":"Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans","volume":"120","author":"Cho","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2520","DOI":"10.1016\/j.jqsrt.2011.06.017","article-title":"Temperature dependence of ice optical constants: Implications for simulating the single-scattering properties of cold ice clouds","volume":"112","author":"Iwabuchi","year":"2011","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_56","first-page":"401","article-title":"Global Statistics of Ice Microphysical and Optical Properties at Tops of Optically Thick Ice Clouds","volume":"125","author":"Ackerman","year":"2020","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Zhang, Z., and Platnick, S. (2011). An assessment of differences between cloud effective particle radius retrievals for marine water clouds from three MODIS spectral bands. J. Geophys. Res. Atmos., 116.","DOI":"10.1029\/2011JD016216"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Kato, S., Hinkelman, L.M., and Cheng, A. (2006). Estimate of satellite-derived cloud optical thickness and effective radius errors and their effect on computed domain-averaged irradiances. J. Geophys. Res. Atmos., 111.","DOI":"10.1029\/2005JD006668"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"2257","DOI":"10.5194\/amt-13-2257-2020","article-title":"A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations","volume":"13","author":"Wang","year":"2020","journal-title":"Atmos. Meas. Tech."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/1\/2\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:48:19Z","timestamp":1760179699000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/1\/2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,22]]},"references-count":59,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["rs13010002"],"URL":"https:\/\/doi.org\/10.3390\/rs13010002","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,22]]}}}