A New Method for Temperature/Emissivity Separation from Hyperspectral Thermal Infrared Data

Author

Xinghong Wang ; Xiaoying OuYang ; Bohui Tang ; Zhao-Liang Li ; Zhang, Renhua

Author_Institution

Key Lab. of Water Cycle & Related Land Surface Processes, Chinese Acad. of Sci., Beijing

Volume

3

fYear

2008

fDate

7-11 July 2008

Abstract

The central problem of temperature and emissivity separation (TES) is, as Realmuto had pointed out, that we obtain N spectral measurements of radiance and need to find N+1 unknowns (N emissivities and one temperature), if the atmospheric perturbations are well corrected for. Thus, one constraint must be found in the retrieval to obtain the realistic solution for the temperature/emissivity separation. A new index called `Downwelling Radiance Residual Index´ (DRRI) is proposed to provide this type of constraint. Tests with the simulated hyperspectral thermal infrared (TIR) data sets demonstrate that this new index can provide an accurate and fast Temperature/Emissivity separation.

Keywords

geophysical techniques; infrared imaging; land surface temperature; remote sensing; ´Downwelling Radiance Residual Index´; N spectral measurements; atmospheric perturbations; hyperspectral thermal infrared data; land surface emissivity; land surface temperature; temperature and emissivity separation method; Atmospheric measurements; Hyperspectral imaging; Hyperspectral sensors; Information retrieval; Land surface; Land surface temperature; Remote sensing; Satellites; Temperature sensors; Testing; DRRI; Hyperspectral thermal infrared data; Land surface emissivity; Land surface temperature (LST); Temperature/Emissivity Separation (TES);

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779339

Filename

4779339