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Landsat 9 Thermal Infrared Sensor 2 Subsystem-Level Spectral Test ResultsResults from the Thermal Infrared Sensor 2 (TIRS-2) prelaunch spectral characterization at telescope and detector subsystem level are presented. The derived relative spectral response (RSR) shape is expected to be very similar to the instrument-level spectral response and provides an initial estimate of the RSR and its differences to the component-level RSR measurements. Such differences were observed at TIRS- 1 and are likely a result of angular dependence of the spectral response of the detector. The subsystem RSR measurements also provide an opportunity for a preliminary assessment of the spectral requirements. Final requirements verification will be performed at future thermal vacuum environmental testing with the fully assembled TIRS-2 instrument.
Document ID
20180004892
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Efremova, Boryana
(GeoThinkTank LLC Washington, DC, United States)
Pearlman, Aaron J.
(GeoThinkTank LLC Washington, DC, United States)
McCorkel, Joel
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Montanaro, Matthew
(Rochester Institute of Technology Rochester, NY, United States)
Hickey, Michael
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Lunsford, Allen
(Catholic Univ. of America Washington, DC, United States)
Reuter, Dennis
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
September 5, 2018
Publication Date
July 22, 2018
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN56265
Meeting Information
Meeting: International Geoscience and Remote Sensing Symposium (IGARSS 2018)
Location: Valencia
Country: Spain
Start Date: July 22, 2018
End Date: July 27, 2018
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNG15HQ01C
CONTRACT_GRANT: NNX14AP40G
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
TIRS-2
Landsat 9
prelaunch characterization
thermal infrared remote sensing
calibration
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