Classification of topography in artificially modified alluvial plains using DEMs

EasyChair Preprint 169

Abstract

We developed classification schemes for topography in the artificially modified alluvial plains. In order to determine the ground conditions in such areas, it is important to define the distributions of low rises such as natural levees and gentle fans. We searched for geometric signatures which did not over-emphasize the influences of artificial unevenness and were thus useful for revealing low rises on alluvial plains. Based on our findings using the highly accurate DEM for the Nobi plain, we concluded that Height Above Nearest Drainage (HAND) was most useful for detecting natural levees and gentle fans. Then we used HAND and slope gradient to produce terrain classification data for the Central Plain of Thailand using MERIT DEM in consideration to future development of global data.

Keyphrases: Alluvial fan, DEM, Flood plain, Local convexity, Multiresolution segmentation, alluvial plain, artificial unevenness, gentle fan, geometric signature, geomorphological map, hand, landform, low terrace, natural levee, slope gradient, surface texture, terrain classification

@booklet{EasyChair:169,
  author    = {Junko Iwahashi and Takayuki Nakano and Dai Yamazaki},
  title     = {Classification of topography in artificially modified alluvial plains using DEMs},
  doi       = {10.29007/g4hx},
  howpublished = {EasyChair Preprint 169},
  year      = {EasyChair, 2018}}