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Proceedings Paper

Surface spectral emissivity derived from MODIS data
Author(s): Yan Chen; Sunny Sun-Mack; Patrick Minnis; William L. Smith; David F. Young
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Paper Abstract

Surface emissivity is essential for many remote sensing applications including the retrieval of the surface skin temperature from satellite-based infrared measurements, determining thresholds for cloud detection and for estimating the emission of longwave radiation from the surface, an important component of the energy budget of the surface-atmosphere interface. In this paper, data from the Terra MODIS (MODerate-resolution Imaging Spectroradiometer) taken at 3.7, 8.5, 10.8, 12.0 micron are used to simultaneously derive the skin temperature and the surface emissivities at the same wavelengths. The methodology uses separate measurements of the clear-sky temperatures that are determined by the CERES (Clouds and Earth's Radiant Energy System) scene classification in each channel during the daytime and at night. The relationships between the various channels at night are used during the day when solar reflectance affects the 3.7 micron data. A set of simultaneous equations is then solved to derive the emissivities. Global results are derived from MODIS. Numerical weather analyses are used to provide soundings for correcting the observed radiances for atmospheric absorption. These results are verified and will be available for remote sensing applications.

Paper Details

Date Published: 9 April 2003
PDF: 9 pages
Proc. SPIE 4891, Optical Remote Sensing of the Atmosphere and Clouds III, (9 April 2003); doi: 10.1117/12.465995
Show Author Affiliations
Yan Chen, Science Applications International Corp. (United States)
Sunny Sun-Mack, Science Applications International Corp. (United States)
Patrick Minnis, NASA Langley Research Ctr. (United States)
William L. Smith, NASA Langley Research Ctr. (United States)
David F. Young, NASA Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 4891:
Optical Remote Sensing of the Atmosphere and Clouds III
Hung-Lung Huang; Daren Lu; Yasuhiro Sasano, Editor(s)

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