{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:17:09Z","timestamp":1760242629096,"version":"build-2065373602"},"reference-count":14,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:00:00Z","timestamp":1514505600000},"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>A Land Product Characterization System (LPCS) has been developed to provide land data and products to the community of individuals interested in validating space-based land products by comparing them with similar products available from other sensors or surface-based observations. The LPCS facilitates the application of global multi-satellite and in situ data for characterization and validation of higher-level, satellite-derived, land surface products (e.g., surface reflectance, normalized difference vegetation index, and land surface temperature). The LPCS includes data search, inventory, access, and analysis functions that will permit data to be easily identified, retrieved, co-registered, and compared statistically through a single interface. The system currently includes data and products available from Landsat 4 through 8, Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua, Suomi National Polar-Orbiting Partnership (S-NPP)\/Joint Polar Satellite System (JPSS) Visible Infrared Imaging Radiometer Suite (VIIRS), and simulated data for the Geostationary Operational Environmental Satellite (GOES)-16 Advanced Baseline Imager (ABI). In addition to the future inclusion of in situ data, higher-level land products from the European Space Agency (ESA) Sentinel-2 and -3 series of satellites, and other high and medium resolution spatial sensors, will be included as available. When fully implemented, any of the sensor data or products included in the LPCS would be available for comparative analysis.<\/jats:p>","DOI":"10.3390\/rs10010048","type":"journal-article","created":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T10:58:47Z","timestamp":1514545127000},"page":"48","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Land Product Characterization System for Comparative Analysis of Satellite Data and Products"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9162-5011","authenticated-orcid":false,"given":"Kevin","family":"Gallo","sequence":"first","affiliation":[{"name":"NOAA\/NESDIS, College Park, MD 20740, USA"},{"name":"USGS-EROS, Sioux Falls, SD 57198, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Greg","family":"Stensaas","sequence":"additional","affiliation":[{"name":"USGS-EROS, Sioux Falls, SD 57198, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Dwyer","sequence":"additional","affiliation":[{"name":"USGS-EROS, Sioux Falls, SD 57198, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryan","family":"Longhenry","sequence":"additional","affiliation":[{"name":"USGS-EROS, Sioux Falls, SD 57198, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,12,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1109\/TGRS.2012.2228654","article-title":"Overview of Intercalibration of satellite instruments","volume":"51","author":"Chander","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","unstructured":"(2017, March 16). GSICS Global Space-Based Inter-Calibration System. Available online: http\/\/gsics.wmo.int\/."},{"key":"ref_3","unstructured":"(2017, December 18). CEOS Working Group on Calibration and Validation (WGCV). Available online: http:\/\/ceos.org\/ourwork\/workinggroups\/wgcv\/."},{"key":"ref_4","unstructured":"(2017, December 18). CEOS Working Group on Calibration and Validation (WGCV) Land Product Validation (LPV) Subgroup, Available online: https:\/\/lpvs.gsfc.nasa.gov\/."},{"key":"ref_5","unstructured":"(2017, December 18). NASA EOS Land Validation Core Sites, Available online: https:\/\/landval.gsfc.nasa.gov\/coresite_gen.html\/."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4190","DOI":"10.3390\/rs6054190","article-title":"On Line Validation Exercise (OLIVE): A Web Based Service for the Validation of Medium Resolution Land Products. Application to FAPAR Products","volume":"6","author":"Weiss","year":"2014","journal-title":"Remote Sens."},{"key":"ref_7","unstructured":"(2017, March 21). Land Product Characterization System (LPCS), Available online: https:\/\/landsat.usgs.gov\/lpcs."},{"key":"ref_8","unstructured":"(2017, December 18). Open-Source Project for a Network Data Access Protocol, Available online: https:\/\/www.opendap.org\/."},{"key":"ref_9","unstructured":"(2017, December 27). EOS Land Validation Core Sites, Grand Morin, Available online: https:\/\/landval.gsfc.nasa.gov\/coresite.php?SiteID=73."},{"key":"ref_10","unstructured":"(2017, December 14). U.S. Landsat Analysis Ready Data (ARD), Available online: https:\/\/landsat.usgs.gov\/ard."},{"key":"ref_11","unstructured":"(2017, December 14). Landsat Collections, Available online: https:\/\/landsat.usgs.gov\/landsat-collections."},{"key":"ref_12","unstructured":"(2017, December 14). An Introduction to MODIS Version 6 Data, Available online: https:\/\/www.usgs.gov\/media\/videos\/introduction-modis-version-6-data."},{"key":"ref_13","unstructured":"(2017, December 18). Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA), Available online: https:\/\/landsat.usgs.gov\/sites\/default\/files\/documents\/espa_odi_userguide.pdf."},{"key":"ref_14","unstructured":"(2017, December 18). Geospatial Data Abstraction Library (GDAL). Available online: http:\/\/www.gdal.org\/."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/48\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:55:57Z","timestamp":1760208957000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,29]]},"references-count":14,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,1]]}},"alternative-id":["rs10010048"],"URL":"https:\/\/doi.org\/10.3390\/rs10010048","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2017,12,29]]}}}