Abstract
In reflecting spectra of the earth’s surface, though the magnitude varies with the intensity of sunstroke, the angle of land inclination, the observation angle of the sensors and so on, the shape is less deformed with these effects. From this point of view, we have developed a spectral shape-dependent analysis by normalizing each band-radiance with their mean value. Here, we applied this normalization method to spectral radiometer data for a forest of Larix kaempferi using 3 components of wavelength ranges, Green, Red, and NIR. Each normalized spectral components measured on the ground observation site become almost stable in the sunlight daytime, and their seasonal variations are smooth. Moreover, respective band values of normalized reflectance obtained from ground site and satellite data are almost same. Therefore this method is effective for analysis of vegetation vitality. The normalized reflecting index of NIR is linear to NDVI, and those of Green and Red are sensitive to the variation of leaf color.
