Shintaro Goto

Extraction of landslide areas using satellite remote sensing and GIS technology

The objective of this study is to find areas where landslides may occur in the near future by using satellite remote sensing and thematic-map data, also using GIS (Geographic Information System) techniques. The authors considered how the combination of GIS with remote sensing data and thematic map data may facilitate greatly the assessment and estimation of regional landslide hazards. They extracted inclination angles, inclination aspects, and ridge and valley lines from DTM data originally made for landslide areas. The watersheds in the study areas were extracted by GIS techniques. Criteria to predict landslide areas are proposed.

Calibration of arable land and wood and forest area based on NDVI seasonal change using Agricultural Atlas in Asia

The study deals with the calibration of arable land and wood and forests from a global vegetation map based on the seasonal change of NDVI from NOAA AVHRR data, using the Agricultural Atlas in Asia. For this purpose, first the World Atlas of Agriculture is digitized, second the arable land and wood and forest areas are selected from the vegetation map from the viewpoint of NDVI seasonal change. Finally the accuracy of two kinds of land utilization is inspected. From the result, the distribution of arable land and wood and forest areas based on the NDVI seasonal change are accurate enough practically.<<ETX>>