Landsat 8 and 9 Underfly International Surface Reflectance Validation Collaboration

Author:

Mann Joshua1ORCID,Maddox Emily1ORCID,Shrestha Mahesh1ORCID,Irwin Jeffrey2ORCID,Czapla-Myers Jeffrey3ORCID,Gerace Aaron4ORCID,Rehman Eon4,Raqueno Nina4,Coburn Craig5ORCID,Byrne Guy67891011ORCID,Broomhall Mark67891011ORCID,Walsh Andrew67891011ORCID

Affiliation:

1. KBR Contractor to U.S. Geological Survey Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA

2. U.S. Geological Survey Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA

3. Remote Sensing Group, Wyant College of Optical Sciences, University of Arizona, 1630 E University Blvd, Tucson, AZ 85721, USA

4. Digital Imaging and Remote Sensing Laboratory (DIRS), Rochester Institute of Technology, 54 Lomb Memorial Drive, Rochester, NY 14623, USA

5. Department of Geography and Environment, Faculty of Arts and Science, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada

6. Geoscience Australia, Canberra, ACT 2601, Australia

7. School of Earth Sciences, University of Western Australia, Perth, WA 6009, Australia

8. Frontier SI, Docklands, VIC 3008, Australia

9. CSIRO Oceans and Atmosphere, Townsville, QLD 4811, Australia

10. Queensland Department of Environment and Science, Manly, QLD 4179, Australia

11. School of the Environment, University of Queensland, Brisbane, QLD 4072, Australia

Abstract

During the launch and path to its final orbit, the Landsat 9 satellite performed a once in a mission lifetime maneuver as it passed beneath Landsat 8, resulting in near coincident data collection. This maneuver provided ground validation teams from across the globe the opportunity of collecting surface in situ data to compare directly to Landsat 8 and Landsat 9 data. Ground validation teams identified surface targets that would yield reflectance and/or thermal values that could be used in Landsat Level 2 product validation and set out to collect at these locations using surface validation methodologies the teams developed. The values were collected from each team and compared directly with each other across each of the different bands of both Landsat 8 and 9. The results proved consistency across the Landsat 8 and 9 platforms and also agreed well in surface reflectance underestimation of the Coastal Aerosol, Blue, and SWIR2 bands.

Funder

USGS

Publisher

MDPI AG

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