Examination of subclassification method of the 7.5-arc-second Japan Engineering Geomorphologic Classification Map using remote sensing data

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Other Title
  • リモートセンシングデータを用いた250mメッシュ微地形区分の細分化手法の検討

Abstract

Landform classification data with high spatial resolution (50 m grid size) is necessary to produce more effective land liquefaction hazard map or shake map. I examined the subclassification method of the 7.5-arc-second Japan Engineering Geomorphologic Classification Map using 5 m grid digital elevation model (DEM) data and multi-band satellite data like ASTER data while referring to Ishii et al. (2007) etc. The examined method (classification rules), which uses geomorphologic parameters calculated from DEM (ex. average elevation, average slope degree and above-ground opening etc.) and normalization indices derived from multi-band satellite image data, makes available generally for subclassification of the 7.5-arc-second Japan Engineering Geomorphologic Classification Map. However, it is necessary to improve the classification method of old river channel and reclaimed land of old water area by using together with other method because these landform have high risk for earthquake.

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Details 詳細情報について

  • CRID
    1390001205694488832
  • NII Article ID
    130005490133
  • DOI
    10.14866/ajg.2015a.0_100098
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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