[H-TT19] Geographic Information System and Cartography

[HTT19-P02] Development of information platform for topographical recognition by CS topographic map

*Hiromu Daimaru¹, Kenichiro Toda², Wataru Murakami¹, Ryuichi Sekoguchi³, Yoichi Kayama³, Keichi Katsube³, Hiroo Imaki⁴, Koji Ijima⁴, Ryosuke Wayama⁵ (1.Forestry and Forest Products Research Institute, 2.Nagano Prefecture Forestry Research Center, 3.Aero Asahi Corporation, 4.Pacific Spatial Solutions Co., Ltd., 5.Northern System Service Co., Ltd.)

Keywords:Landform, CS topographic map, Web GIS, GKAN, AI

Topographical recognition is a fundamental process when considering land use plans for mountain areas. Airborne laser scanning, which has been widely used in recent years, has provided valuable data for landform recognition. We have developed an information system to support landform recognition in the mountain areas by distributing raster tile of CS topographic map, including a converting tool from Geotiff formatted DEM to CS topographic map image by using FME (Safe Software Inc.). This system includes the tool for LEM formatted data that is commonly used in Japan for LiDAR DEM.
The CS map images created by our system are displayed in seamless style and uniform tones. The metadata catalog of the CS map was provided to GKAN that was developed by adding spatial functions to the data catalog server CKAN. The platform enables GIS users to search for stored CS map database and distribute the raster tiles. Furthermore, we also developed a technology that automatically extract shallow landslide scarps and small forest roads from CS topographic maps by using AI.