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Enhancements to the USGS Landsat Level 2 surface temperature and emissivity product for Collection 3 reprocessing

Arab, Saeed ; Mueller, Chase; Crawford, Christopher J.; Wellington, Danika; Dittmeier, Ray; Hulley, Glynn; Gerace, Aaron; Jenkerson, Calli; Hook, Simon; Hassanzadeh, Amirhossein; Eon, Rehman; Anderson, Cody; Scaramuzza, Pat; Göttsche, Frank M. ORCID iD icon 1
1 Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF), Karlsruher Institut für Technologie (KIT)

Abstract:

The Landsat program provides the longest continuous global record of thermal infrared observations of the Earth's surface, underpinning critical applications in climate monitoring, water resources, ecosystem dynamics, urban heat analysis, and natural hazard assessment. The release of a global inventory of Landsat Collection 2 Level 2 surface temperature products by the U.S. Geological Survey (USGS) marked a major milestone in operational provision of Landsat thermal infrared analysis-ready data. Ongoing validations and community uses of Collection 2 have identified opportunities to further improve accuracy, uncertainty characterization, and emissivity correction across diverse atmospheric and surface conditions. In preparation for the planned Landsat Collection 3 reprocessing of the Landsat data record in the late 2020s, the USGS is implementing a coordinated set of enhancements to the Level 2 surface temperature products. These include revised emissivity estimation that leverages external datasets, improved atmospheric characterization and uncertainty propagation, expanded dynamic range for high temperature targets, consideration of split window atmospheric correction algorithm for Landsat 8 and 9, and decoupling of thermal infrared processing from visible to shortwave infrared constraints to enable surface temperature retrievals under low or no solar illumination conditions. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000196212
Veröffentlicht am 14.08.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2026
Sprache Englisch
Identifikator ISSN: 0034-4257
KITopen-ID: 1000196212
Erschienen in Remote Sensing of Environment
Verlag Elsevier
Band 345
Seiten Art.-Nr.: 115563
Vorab online veröffentlicht am 31.07.2026
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