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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaISCRAM 2019 - Proceedings
Subtítulo de la publicación alojada16th International Conference on Information Systems for Crisis Response and Management
EditoresZeno Franco, Jose J. Gonzalez, Jose H. Canos
EditorialInformation Systems for Crisis Response and Management, ISCRAM
Páginas450-461
Número de páginas12
ISBN (versión digital)9788409104987
EstadoPublicada - 2019
Evento16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019 - Valencia, Espana
Duración: 19 may. 201922 may. 2019

Serie de la publicación

NombreProceedings of the International ISCRAM Conference
Volumen2019-May
ISSN (versión digital)2411-3387

Conferencia

Conferencia16th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2019
País/TerritorioEspana
CiudadValencia
Período19/05/1922/05/19

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