斜面崩壊予測を対象とした衛星マルチスペクトルデータの実利用化について

抄録

A model for landslide prediction is presented using land cover information obtained from a satellite multi-spectral scanner data and geographical information such as the lay of the land, the nature of the soil and so on. This prediction model is based on the analysis of landslide data using Quantification Method Type I, II and III, The method of prediction is as follows: 1) Quantification Method Type I and III are used to analyze the causality between the satellite multi-spectral scanner data and landslide phenomena. 2) Using the result from Quantification Method Type I and III, a prediction map of a landslide area is made by using Quantification Method Type II and a min-max method applied to distinguish broken from unbroken areas. Comparison of the prediction map with on-site inspection of the areas under investigation, gave good agreement on the prospective landslide areas, measures for the prevention of landslides could then be undertaken. This prediction method is not only useful for selecting areas in danger of landslide but also for prevention of landslide disasters such as in areas where mechanized construction on steep slopes are being made.