Applying high resolution remote sensing image and DEM to boulder fall hazard assessing

Changqing Huang, Wenzhong Shi, K. C. Ng

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

Boulder fall hazard assessing generally requires gaining the boulder information. The extensive mapping and surveying fieldwork is a time-consuming, laborious and dangerous conventional method. So this paper proposes an applying image processing technology to extract boulder and assess boulder fall hazard from high resolution remote sensing image. The method can replace the conventional method and extract the boulder information in high accuracy, include boulder size, shape, height and the slope and aspect of its position. With above boulder information, it can be satisfied for assessing, prevention and cure boulder fall hazard.

Original languageEnglish
Article number60452T
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6045 II
DOIs
Publication statusPublished - 2005
EventMIPPR 2005: Geospatial Information, Data Mining, and Applications - Wuhan, China
Duration: 31 Oct 20052 Nov 2005

Keywords

  • Boulder Hazard Assessing
  • DEM
  • Image Extraction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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