Application of swarm intelligence for landslide susceptibility modeling from geospatial data fusion

Jhe Syuan Lai, Fuan Tsai

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

This study utilizes and explores the feasibility and application of swarm intelligence for landslide susceptibility modeling based on collected inventory of rainfall-induced shallow landslide events. Eleven geospatial factors are considered, including topographic, vegetative, environmental, geological and man-made information. Landslide inventory and factors are overlapped to obtain the training data for modeling (classification) and verification. Experimental results indicate that swarm intelligence algorithms can provide plausible results for landslide susceptibility modeling, comparing with conventional landslide detection and prediction methods.

Original languageEnglish
StatePublished - 2014
Event35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014 - Nay Pyi Taw, Myanmar
Duration: 27 Oct 201431 Oct 2014

Conference

Conference35th Asian Conference on Remote Sensing 2014: Sensing for Reintegration of Societies, ACRS 2014
Country/TerritoryMyanmar
CityNay Pyi Taw
Period27/10/1431/10/14

Keywords

  • Ant colony optimization
  • Landslide susceptibility
  • Particle swarm optimization

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