1999 年 19 巻 5 号 p. 440-453
ASTER, which is going to be launched in December 1999 on NASA's polar orbit platform called "Terra", will be the first spaceborne thermal infrared multispectral remote sensing system with spatial and spectral resolution adequate for geologic applications. In this paper, the relationship between thermal infrared spectra of igneous rocks convolved into ASTER spectra, and chemically determined SiO2 contents was analyzed with a backpropagating neural network approach to derive an equation for a spectral estimation of SiO2 content. The validity of the derived equation against the remotely sensed emissivity spectra by ASTER was discussed. The results suggested the high possibility of a successful estimation of SiO2 content in the surface igneous rocks using ASTER data.