Surface spectral emissivity derived from MODIS data

Yan Chen; Sunny Sun-Mack; Patrick Minnis; William L. Smith; David F. Young

doi:10.1117/12.465995

9 April 2003 Surface spectral emissivity derived from MODIS data

Yan Chen, Sunny Sun-Mack, Patrick Minnis, William L. Smith, David F. Young

Proceedings Volume 4891, Optical Remote Sensing of the Atmosphere and Clouds III; (2003) https://doi.org/10.1117/12.465995
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

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.

Citation Download Citation

Yan Chen, Sunny Sun-Mack, Patrick Minnis, William L. Smith, and David F. Young "Surface spectral emissivity derived from MODIS data", Proc. SPIE 4891, Optical Remote Sensing of the Atmosphere and Clouds III, (9 April 2003); https://doi.org/10.1117/12.465995

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