a mapping method for precursor topography of deep-seated landslide using DEM

2015 Fiscal Year Final Research Report

• Project/Area Number: 25750152
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Natural disaster / Disaster prevention science
• Research Institution: Kagawa University
• Principal Investigator: NONOMURA ATSUKO 香川大学, 工学部, 准教授 (60363181)
• Co-Investigator(Renkei-kenkyūsha): HASEGAWA Shuichi 香川大学, 工学部, 教授 (00325317)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 深層崩壊 / 地形 / DEM

Outline of Final Research Achievements

Landslides tend to occur on gravitationally deformed slopes, and the distribution of slopes with deep-seated gravitational deformation is primary information for efforts to predict and mitigate landslide damage. Recently developed semi-automatic procedures for recognizing landforms related to earth surface processes reliably delineate landslide crowns, but other surface features typify slopes with histories of complex landslides, particularly deep-seated retrogressive slides. It is desirable to have automatic or semi-automatic procedures for identifying other topographic features beside landslide crowns. We present a simple algorithm for extracting topographic features of slopes that are susceptible to landslides, especially retrogressive rotational and translational landslides, from a digital elevation model.

Free Research Field

空間情報工学