Automated geo-spatial system for generalized assessment of socio-economic vulnerability due to landslide in a region

Devanjan Bhattacharya*, Jayanta Kumar Ghosh, Piero Boccardo, Jitka Komarkova

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

The paper explains a system to assess automatically vulnerability due to landslide on socio-economy of a region by categorizing landslide hazard using spatial as well as temporal causative factors. The expert system has input, understanding, expert & output modules & uses digital spatial data of causative factors of landslide. Input accepts thematic images of contributing factors for landslides, Understanding module interprets to extract relevant information as required by expert module consisting of a Knowledge Base & Inference strategy categorizing region into different susceptibilities of landslide. Overlaid on socio-economic parameters in output module for vulnerability maps of landslide on population, forestry, urban, rural, agriculture separately to ascertain the impact of landslide on socio-economy of the Tehri-Garhwal region lower Himalayas, India.

Original languageEnglish
Pages (from-to)379-399
Number of pages21
JournalEuropean Journal of Remote Sensing
Volume46
Issue number1
DOIs
Publication statusPublished - 2013

Keywords / Materials (for Non-textual outputs)

  • expert system
  • geo-spatial
  • knowledge-base
  • landslide
  • socio-economic vulnerability

Fingerprint

Dive into the research topics of 'Automated geo-spatial system for generalized assessment of socio-economic vulnerability due to landslide in a region'. Together they form a unique fingerprint.

Cite this