Abstract
This study shows a potential of personal computer to analyze the forest land with a satellite data. Although the SPOT data becomes near the airborne data in the spatial resolution, the geometrical distortion is large because of the slant viewing in some cases. Also, the terrain effect distortion cannot be deleted because that it is due to the geographical condition. To eliminate terrain effect distortion, the methods are considered; direct one and indirect one. The direct one is to calculate the geometrical condition of the sun and the slope rigorously. Indirect one is to use the ratio value of the adjacent channel data to avoid the effect. The improvement of categorization of forest type is attained higher in both corrected data case. To improve the categorization accuracy, SPOT HRV data was integrated with digital terrain model (DTM) for the forest land. The DTM are 20 meter mesh elevation data set obtained on 1 : 5.000 topographical map. The elevation is carefully picked up from the map within an accuracy of about one meter. Applying the DTM to the forest type analysis using the multi-spectral SPOT data, the categorization accuracy was improved about 20% above than that of the case with no application of it.
