Geographic Information System (GIS)-based landslide susceptible area detection using geospatial and satellite data (Case study of Banten, DKI Jakarta and Jawa Barat provinces)

Dodi Sudiana, Ardhi Adhary Arbain

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This study focused on detection technique of landslide susceptible areas in Banten, DKI Jakarta and Jawa Barat by utilizing Weighted Linear Combination (WLC) method based on Geographic Information System using geospatial and satellite data. Several weighting approaches were used to examine the dominant landslide-controlling factors, e.g.: elevation, slope, soil type, land cover, rainfall average and standard deviation. WLC results showed that slope gradient was the most dominant factor which caused landslide events. This study also assessed the yearly distribution of landslide susceptible areas which not only depend on fluctuation of dynamic factors such as land cover and rainfall. The accuracy of the results depend on the precision and scale of geospatial data which could be increased using the latest satellite data.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages349-353
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 Nov 201124 Nov 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
CountryIndonesia
CityBali
Period21/11/1124/11/11

Keywords

  • Geographic Information System
  • Landslide susceptibility
  • remote sensing
  • Weighted Linear Combination

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