Development of risk mapping using remote sensing technology
The information acquired by remote sensing technology and field surveys is centrally managed in a GIS, and the landslide risk map and forest management map of the target area are developed by overlaying and analyzing various types of information such as past landslide inventories, topography, geology, forest cover, and rainfall on the GIS. In remote sensing analysis and mapping, it is especially important to use high-resolution satellites, which have developed rapidly in recent years, and to utilize AI analysis of satellite big data using a cloud-based platform. The use of high-resolution satellites and cloud-based platforms includes not only the use of overseas satellite data such as Pleiades and existing platforms such as Google Earth Engine, but also the use of data acquired by Japanese national satellite such as ALOS and Japan’s data platform such as Tellus. We will also consider introducing data acquired by Japanese satellite and data platform. Based on the risk assessment technology obtained through the above analysis technology, we will present a forest management zoning technology that considers both the economic efficiency of timber production and disaster prevention.