Item talk:Q269704
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "The 50-year Landsat collection 2 archive", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70248889", "url": "https://pubs.usgs.gov/publication/70248889" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70248889 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.srs.2023.100103", "url": "https://doi.org/10.1016/j.srs.2023.100103" } ], "journal": { "@type": "Periodical", "name": "Science of Remote Sensing", "volumeNumber": "8", "issueNumber": null }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Science of Remote Sensing" } ], "datePublished": "2023", "dateModified": "2023-09-25", "abstract": "The\u00a0Landsat\u00a0global consolidated data archive now exceeds 50 years. In recognition of the need for consistently processed data across the\u00a0Landsat satellite\u00a0series, the\u00a0U.S.\u00a0Geological Survey (USGS) initiated collection-based processing of the entire archive that was processed as Collection 1 in 2016. In preparation for the data from the now successfully launched Landsat 9, the USGS reprocessed the Landsat archive as Collection 2 in 2020. This paper describes the rationale for, and the contents and advancements provided by Collection 2, and highlights the differences between the Collection 1 and Collection 2 products. Notably, the Collection 2 products have improved geolocation and, for the first time, the USGS provides a global inventory of Level 2\u00a0surface reflectance\u00a0and surface temperature products. Also for the first time, the USGS used a commercial cloud computing architecture to efficiently process the archive and enable direct cloud access of the Landsat products. The paper concludes with discussion of likely improvements expected in Collection 3 in preparation for the Landsat Next mission that is planned for launch in the early 2030s.", "description": "100103, 17 p.", "publisher": { "@type": "Organization", "name": "Elsevier" }, "author": [ { "@type": "Person", "name": "Anderson, Martha", "givenName": "Martha", "familyName": "Anderson", "affiliation": [ { "@type": "Organization", "name": "USDA Agricultural Research Service" } ] }, { "@type": "Person", "name": "Roger, Jean-Claude", "givenName": "Jean-Claude", "familyName": "Roger" }, { "@type": "Person", "name": "Sayler, Kristi sayler@usgs.gov", "givenName": "Kristi", "familyName": "Sayler", "email": "sayler@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-2514-242X", "url": "https://orcid.org/0000-0003-2514-242X" }, "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center (Geography)", "url": "https://www.usgs.gov/centers/eros" } ] }, { "@type": "Person", "name": "Scaramuzza, Pat L", "givenName": "Pat L", "familyName": "Scaramuzza", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-2616-8456", "url": "https://orcid.org/0000-0002-2616-8456" }, "affiliation": [ { "@type": "Organization", "name": "KBR Inc., under contract to USGS" } ] }, { "@type": "Person", "name": "Skakun, Sergii", "givenName": "Sergii", "familyName": "Skakun", "affiliation": [ { "@type": "Organization", "name": "University of Maryland" } ] }, { "@type": "Person", "name": "Yan, Lin", "givenName": "Lin", "familyName": "Yan" }, { "@type": "Person", "name": "Zhang, Hankui K.", "givenName": "Hankui K.", "familyName": "Zhang" }, { "@type": "Person", "name": "Zhu, Zhe", "givenName": "Zhe", "familyName": "Zhu", "affiliation": [ { "@type": "Organization", "name": "University of Connecticut" } ] }, { "@type": "Person", "name": "Zahn, Stephen G.", "givenName": "Stephen G.", 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