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A GIS method for landslide inventory and susceptibility mapping in the Río El Estado watershed, Pico de Orizaba volcano, México

  • Gabriel Legorreta Paulín
  • , Marcus Bursik
  • , José Lugo Hubp
  • , Luis Mario Paredes Mejía
  • , Fernando Aceves Quesada
  • Universidad Nacional Autónoma de México
  • State of California

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

In volcanic terrains, dormant stratovolcanoes are very common and can trigger landslides and debris flows continually along stream systems, thereby affecting human settlements and economic activities. It is important to assess their potential impact and damage through the use of landslide inventory maps and landslide models. In Mexico, numerous geographic information systems (GIS)-based applications have been used to represent and assess slope stability. However, there is no practical and standardized landslide mapping methodology under a GIS. This work provides an overview of the ongoing research project from the Institute of Geography at the National Autonomous University of Mexico that seeks to conduct a multi-temporal landslide inventory and produce a landslide susceptibility map by using GIS. The Río El Estado watershed on the southwestern flank of Pico de Orizaba volcano, the highest mountain in Mexico, is selected as a study area. The geologic and geomorphologic factors in combination with high seasonal precipitation, high degree of weathering, and steep slopes predispose the study area to landslides. The method encompasses two main levels of analysis to assess landslide susceptibility. First, the project aims to derive a landslide inventory map from a representative sample of landslides using aerial orthophotographs and field work. Next, the landslide susceptibility is modelled by using multiple logistic regression implemented in a GIS platform. The technique and its implementation of each level in a GISs-based technology is presented and discussed.

Original languageEnglish
Pages (from-to)229-241
Number of pages13
JournalNatural Hazards
Volume71
Issue number1
DOIs
StatePublished - Mar 2014

Keywords

  • GIS
  • Landslide inventory map
  • Landslide susceptibility map
  • Multiple logistic regression
  • Pico de Orizaba volcano

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