Emissivity spectra derived from TIMS data acquired over a partially vegetated area

Author

Matsunaga, Tsuneo

Author_Institution

Geol. Survey of Japan, Ibaraki, Japan

fYear

1993

fDate

18-21 Aug 1993

Firstpage

120

Abstract

TIMS (Thermal Infrared Multispectral Scanner) data of a partially vegetated area were processed using a new temperature-emissivity separation algorithm. This algorithm is based on an empirical relationship between the mean and the variation of spectral emissivity in thermal infrared region. Analysis using simulated mixture data showed that the algorithm can reduce errors caused by varying mixing ratio. Emissivity spectra of volcanic rock and forest were derived from TIMS data using this algorithm and compared with published laboratory spectra

Keywords

forestry; geophysical techniques; infrared imaging; remote sensing; IR method; TIMS; Thermal Infrared Multispectral Scanner; emissivity spectra; empirical relationship; forest; geophysical measurement technique; land surface; mixing ratio; partially vegetated; satellite remote sensing; temperature emissivity separation algorithm; thermal infrared; vegetation terrain mapping; volcanic rock; Analytical models; Difference equations; Earth; Geology; Infrared image sensors; Infrared spectra; Laboratories; Optical imaging; Temperature; Thermal sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International

Conference_Location

Tokyo

Print_ISBN

0-7803-1240-6

Type

conf

DOI

10.1109/IGARSS.1993.322498

Filename

322498