Identifying potential landslide location using Unmanned Aerial Vehicles (UAVs)

Jorge Vargas-Florez, Grovher Palomino, Andres Flores, Gloria Valdivia, Carlos Saito, Daniel Arteaga, Mario Balcazar, Miguel Fernandez, José Oliden, Daniel Díaz

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

1 Scopus citations

Abstract

The impact of landslides is determined by the previous state of vulnerability and susceptibility present in a community. Vulnerability is related to physical aspects and susceptibility is defined as the propensity or tendency of an area to be affected by the occurrence of a given hazard. Knowledge of geography allows us to characterize and measure some of these factors. For example, in landslides called huaicos in Peru, these are related to the existence of a slope and soil type of the hills favorable to the loosening of land masses, as well as the increase in rainfall and the presence of streams. The use of UAVs (Unmanned Aerial Vehicles, commonly called drones) for the identification of susceptibility zones is presented in this paper. The result is positive for using the georeferenced data to identify potential landslide flow using as unique criterion surface slopes.

Original languageEnglish
Title of host publicationISCRAM 2019 - Proceedings
Subtitle of host publication16th International Conference on Information Systems for Crisis Response and Management
EditorsZeno Franco, Jose J. Gonzalez, Jose H. Canos
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages450-461
Number of pages12
ISBN (Electronic)9788409104987
StatePublished - 2019
Event16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019 - Valencia, Spain
Duration: 19 May 201922 May 2019

Publication series

NameProceedings of the International ISCRAM Conference
Volume2019-May
ISSN (Electronic)2411-3387

Conference

Conference16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019
Country/TerritorySpain
CityValencia
Period19/05/1922/05/19

Keywords

  • Disaster prevention
  • Drones
  • Landslides
  • Susceptibility mapping

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