The 50-year Landsat collection 2 archive

被引：83

作者：

Crawford, Christopher J. ^{[1
]}

Roy, David P. ^{[2
,3
]}

Arab, Saeed ^{[4
]}

Barnes, Christopher ^{[4
]}

Vermote, Eric ^{[5
]}

Hulley, Glynn ^{[6
]}

Gerace, Aaron ^{[7
]}

Choate, Mike ^{[1
]}

Engebretson, Christopher ^{[1
]}

Micijevic, Esad ^{[1
]}

Schmidt, Gail ^{[4
]}

Anderson, Cody ^{[1
]}

Anderson, Martha ^{[8
]}

Bouchard, Michelle ^{[1
]}

Cook, Bruce ^{[9
]}

Dittmeier, Ray ^{[4
]}

Howard, Danny ^{[4
]}

Jenkerson, Calli ^{[4
]}

Kim, Minsu ^{[4
]}

Kleyians, Tania ^{[7
]}

Maiersperger, Thomas ^{[1
]}

Mueller, Chase ^{[4
]}

Neigh, Christopher ^{[9
]}

Owen, Linda ^{[4
]}

Page, Benjamin ^{[10
]}

Pahlevan, Nima ^{[5
,11
]}

Rengarajan, Rajagopalan ^{[4
]}

Roger, Jean-Claude ^{[12
]}

Sayler, Kristi ^{[1
]}

Scaramuzza, Pat ^{[4
]}

Skakun, Sergii ^{[12
]}

Yan, Lin ^{[2
]}

Zhang, Hankui K. ^{[13
]}

Zhu, Zhe ^{[14
]}

Zahn, Steve ^{[1
]}

机构：

[1] US Geol Survey USGS, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA

[2] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48824 USA

[3] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA

[4] USGS EROS Ctr, KBR Contractor, Sioux Falls, SD 57198 USA

[5] NASA, Goddard Space Flight Ctr, Code 619, Greenbelt, MD 20771 USA

[6] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA

[7] Rochester Inst Technol, Chester F Carlson Ctr Imaging Sci, Rochester, NY 14623 USA

[8] USDA, ARS, Beltsville, MD 20705 USA

[9] NASA, Goddard Space Flight Ctr, Code 618, Greenbelt, MD 20771 USA

[10] USGS EROS Ctr, Earth Space Technol Serv ESTS, Sioux Falls, SD 57198 USA

[11] Sci Syst & Applicat Inc, Lanham, MD 20706 USA

[12] Univ Maryland, Coll Informat Studies iSch, Dept Geog Sci, College Pk, MD 20742 USA

[13] South Dakota State Univ, Geospatial Sci Ctr Excellence, Dept Geog & Geospatial Sci, Brookings, SD 57007 USA

[14] Univ Connecticut, Dept Nat Resources & Environm, Storrs, CT 06269 USA

来源：

SCIENCE OF REMOTE SENSING | 2023年 / 8卷

关键词：

Landsat; Collection; 2; Surface reflectance; Surface temperature; Analysis ready data; CLOUD DETECTION ALGORITHM; INFRARED-SENSOR TIRS; ATMOSPHERIC CORRECTION; SURFACE-TEMPERATURE; RADIOMETRIC CALIBRATION; REFLECTANCE PRODUCTS; SHADOW DETECTION; PART I; VALIDATION; MODIS;

D O I：

10.1016/j.srs.2023.100103

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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 archi-tecture 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.

引用

页数：17

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