Paper
20 August 2008 Development of Landsat-5 thematic mapper internal calibrator gain and offset table
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Abstract
The National Landsat Archive Production System (NLAPS) has been the primary processing system for Landsat data since U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) started archiving Landsat data. NLAPS converts raw satellite data into radiometrically and geometrically calibrated products. NLAPS has historically used the Internal Calibrator (IC) to calibrate the reflective bands of the Landsat-5 Thematic Mapper (TM), even though the lamps in the IC were less stable than the TM detectors, as evidenced by vicarious calibration results. In 2003, a major effort was made to model the actual TM gain change and to update NLAPS to use this model rather than the unstable IC data for radiometric calibration. The model coefficients were revised in 2007 to reflect greater understanding of the changes in the TM responsivity. While the calibration updates are important to users with recently processed data, the processing system no longer calculates the original IC gain or offset. For specific applications, it is useful to have a record of the gain and offset actually applied to the older data. Thus, the NLAPS calibration database was used to generate estimated daily values for the radiometric gain and offset that might have been applied to TM data. This paper discusses the need for and generation of the NLAPS IC gain and offset tables. A companion paper covers the application of and errors associated with using these tables.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julia A. Barsi, Gyanesh Chander, Esad Micijevic, Brian L. Markham, and Md. Obaidul Haque "Development of Landsat-5 thematic mapper internal calibrator gain and offset table", Proc. SPIE 7081, Earth Observing Systems XIII, 708115 (20 August 2008); https://doi.org/10.1117/12.795268
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Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Lamps

Databases

Error analysis

Earth observing sensors

Landsat

Reflectivity

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