Title :
A new algorithm for retrieving land surface temperature and emissivity and applications to airborne hyperspectral SEBASS data
Author_Institution :
Dept. of Geogr., Maryland Univ., College Park, MD, USA
Abstract :
A new algorithm for retrieving land surface temperature (LST), emissivity and atmospheric parameters (air temperature and total water vapor content) from hyperspectral thermal data is developed. It is based on the multidimensional optimum approach. The surface spectral emissivity is approximated by a Fourier series, and the atmospheric parameters are determined by searching the look-up tables that are created by MODTRAN code. It works reasonably well for the simulated data, and is being applied to airborne hyperspectral SEBASS (Spatially Enhanced Broadband Array Spectrograph System) data
Keywords :
atmospheric humidity; atmospheric techniques; atmospheric temperature; geophysical techniques; humidity measurement; radiometry; remote sensing; Fourier series; IR emissivity; MODTRAN; SEBASS; Spatially Enhanced Broadband Array Spectrograph System; airborne hyperspectral method; atmosphere; geophysical measurement technique; humidity; infrared radiometry; land surface; land surface temperature; look-up tables; multidimensional optimum approach; multispectral remote sensing; remote sensing; retrieval algorithm; surface spectral emissivity; terrain mapping; thermal radiation; water vapor; water vapour; Content based retrieval; Fourier series; Hyperspectral imaging; Hyperspectral sensors; Land surface; Land surface temperature; MODIS; Parameter estimation; Temperature sensors; Thermal sensors;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702967
