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Author |
Jorge Vargas-Florez; Grovher Palomino; Andres Flores; Gloria Valdivia; Carlos Saito; Daniel Arteaga; Mario Balcazar; Miguel Fernandez; José Oliden |
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Title |
Identifying potential landslide location using Unmanned Aerial Vehicles (UAVs) |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Keywords |
Susceptibility mapping, disaster prevention, landslides, drones |
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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. |
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Address |
Pontifical Catholic University of Peru, Peru;National University of Engineering, Peru |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
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Track |
T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1887 |
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