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Proceedings Paper

Sensitivity analysis of MODIS band-to-band registration characterization and its impact on the science data products
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Paper Abstract

The MODIS operated on both the Terra and Aqua spacecrafts has 36 bands located on four focal plane assembles (FPAs). Although MODIS band-to-band registration (BBR) was carefully characterized pre-launch, mis-registration between spectral bands and FPAs may still exist or occur during its on-orbit operation. Obviously the mis-registration, or the BBR shift, could impact the quality of MODIS science data products that are produced using multiple spectral bands. Because of the mis-registration, measurements over slightly different areas by different spectral bands, when used together, will cause undesired effects, and consequently, lead to less accurate data products. The spectro-radiometric calibration assembly (SRCA), a unique device within the MODIS instrument, is used to track the sensor on-orbit BBR during its entire mission. On-orbit results show that the mis-registration is typically very small for Terra MODIS but is relatively large for Aqua MODIS between the bands on the warm FPAs and that on the cold FPAs. In this paper we present a theoretical sensitivity analysis of the BBR shift characterization and its impact on MODIS data products. A real case is selected to estimate the impact on L1B data and science products using the BBR shift derived from the SRCA. As expected the mis-registration of Aqua MODIS produces small but potentially non-negligible impact on the science products, particularly at the mixed areas with various surface cover types.

Paper Details

Date Published: 9 October 2007
PDF: 9 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 667908 (9 October 2007); doi: 10.1117/12.735398
Show Author Affiliations
Yong Xie, George Mason Univ. (United States)
Xiaoxiong Xiong, NASA Goddard Space Flight Ctr. (United States)
John J. Qu, George Mason Univ. (United States)
NASA Goddard Space Flight Ctr. (United States)
Nianzeng Che, Science Systems and Applications, Inc. (United States)
Lingli Wang, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)

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