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The 50-year Landsat collection 2 archive

Authors :
Christopher J. Crawford
David P. Roy
Saeed Arab
Christopher Barnes
Eric Vermote
Glynn Hulley
Aaron Gerace
Mike Choate
Christopher Engebretson
Esad Micijevic
Gail Schmidt
Cody Anderson
Martha Anderson
Michelle Bouchard
Bruce Cook
Ray Dittmeier
Danny Howard
Calli Jenkerson
Minsu Kim
Tania Kleyians
Thomas Maiersperger
Chase Mueller
Christopher Neigh
Linda Owen
Benjamin Page
Nima Pahlevan
Rajagopalan Rengarajan
Jean-Claude Roger
Kristi Sayler
Pat Scaramuzza
Sergii Skakun
Lin Yan
Hankui K. Zhang
Zhe Zhu
Steve Zahn
Source :
Science of Remote Sensing, Vol 8, Iss , Pp 100103- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

The Landsat global consolidated data archive now exceeds 50 years. In recognition of the need for consistently processed data across the Landsat satellite series, the U.S. Geological 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 surface reflectance and 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.

Details

Language :
English
ISSN :
26660172
Volume :
8
Issue :
100103-
Database :
Directory of Open Access Journals
Journal :
Science of Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.fe418f149cff463abd271dfa81deacc4
Document Type :
article
Full Text :
https://doi.org/10.1016/j.srs.2023.100103