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Proceedings Paper

Cross-calibration of the reflective solar bands of Terra MODIS and Landsat 7 Enhanced Thematic Mapper plus over PICS using different approaches
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Paper Abstract

Both Terra MODIS and Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) have been successfully operating for over 15 years to collect valuable measurements of the earth’s land, ocean, and atmosphere. The land-viewing bands of both sensors are widely used in several scientific products such as surface reflectance, normalized difference vegetation index, enhanced vegetation index etc. A synergistic use of the multi-temporal measurements from both sensors can greatly benefit the science community. Previous effort from the MODIS Characterization Support Team (MCST) was focused on comparing the top-of-atmosphere reflectance of the two sensors over Libya 4 desert target. Uncertainties caused by the site/atmospheric BRDF, spectral response mismatch, and atmospheric water-vapor were also characterized. In parallel, an absolute calibration approach based on empirical observation was also developed for the Libya 4 site by the South Dakota State University’s (SDSU) Image Processing Lab. Observations from Terra MODIS and Earth Observing One (EO-1) Hyperion were used to model the Landsat ETM+ TOA reflectance. Recently, there has been an update to the MODIS calibration algorithm, which has resulted in the newly reprocessed Collection 6 Level 1B calibrated products. Similarly, a calibration update to some ETM+ bands has also resulted in long-term improvements of its calibration accuracy. With these updates, calibration differences between the spectrally matching bands of Terra MODIS and L7 ETM+ over the Libya 4 site are evaluated using both approaches.

Paper Details

Date Published: 12 October 2015
PDF: 9 pages
Proc. SPIE 9639, Sensors, Systems, and Next-Generation Satellites XIX, 963911 (12 October 2015); doi: 10.1117/12.2195170
Show Author Affiliations
Amit Angal, Science Systems and Applications, Inc. (United States)
Jake Brinkmann, Science Systems and Applications, Inc. (United States)
Nischal Mishra, South Dakota State Univ. (United States)
Daniel Link, Science Systems and Applications, Inc. (United States)
Xiaoxiong Jack Xiong, NASA Goddard Space Flight Ctr. (United States)
Dennis Helder, South Dakota State Univ. (United States)


Published in SPIE Proceedings Vol. 9639:
Sensors, Systems, and Next-Generation Satellites XIX
Roland Meynart; Steven P. Neeck; Haruhisa Shimoda, Editor(s)

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