Micro - Landform Mapping and Applications in Hilly Area Using LIDAR Data

Habura BORJIGIN; Shintaro GOTO

Presentation information

Oral

Symbol H (Human Geosciences) » H-SC Social Earth Sciences & Civil/Urban System Sciences

[H-SC25_30AM2] Human environment and disaster risk

Wed. Apr 30, 2014 11:00 AM - 12:45 PM 421 (4F)

Convener:*Tatsuto Aoki(School of Regional Development Studies, Kanazawa University), Yasuhiro Suzuki(Nagoya University), Mamoru Koarai(Geographic Information Analysis Research Division, Geography and Crustal Dynamics Research Center, Geographical Survey Institute), Toshihiko Sugai(Department of Natural Environmental Studies, Institute of Environmental Studies, Graduate School of Frontier Science, The University of Tokyo), Hiroshi Une(Geospacial Information Authority of Japan), Yoichi Nakamura(Department of Earth Sciences, Utsunomiya University), Jun Matsumoto(Deaprtment of Geography, Tokyo Metropolitan University), Shintaro Goto(Department of Environmental Systems Faculty of GEO-Environmental Science Rissho University), Keitarou Hara(Faculty of Informatics, Tokyo University of Information Sciences), Chair:Mamoru Koarai(Geographic Information Analysis Research Division, Geography and Crustal Dynamics Research Center, Geographical Survey Institute)

12:15 PM - 12:30 PM

[HSC25-11] Micro - Landform Mapping and Applications in Hilly Area Using LIDAR Data

*Habura BORJIGIN¹, Shintaro GOTO² (1.National Institute for Environmental Studies Center for Regional Environmental Research, 2.Rissho University Department of Environmental Systems Faculty of GEO-Environmental Science)

Keywords:LIDAR data, Micro-Landform, Vegetation, TWINSPAN

The objective of this study is to develop the information to be provided for natural regeneration by investigating the relationship between Micro-Landform and vegetation in hilly area of Higashi-matsuyama City in Saitama Pref. The Micro-Landform was classified based on the conversion line of the slope angle derived from DEM (digital elevation model) generated from LIDAR (Laser Imaging Detection And Ranging). Furthermore, we summarized the classification situation of each Micro-Landform by every tree measurement. Finally, the relationship between vegetation and Micro-Landform in the study area was detected by analyzing the relationship between the summarized situation of Micro-Landform and the woody life type corresponding to the Micro-Landform classification using TWINSPAN.