A geospatial information quantity model for regional landslide risk assessment

Yumin Tan (), Dong Guo and Bo Xu

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, vol. 79, issue 2, 1385-1398

Abstract: Using geospatial technologies to assess geological hazard risk has been proved feasible and effective. In this paper, a geospatial information quantity model is proposed to assess landslide risk, which includes nine triggering factors: slope, aspect, cumulative catchment area, formation lithology, seismic intensity, distances to water, precipitation, vegetation, and land use/land cover type, in which the last three triggers are dynamic ones and need to be extracted from up-to-date remote sensing images. These triggering factors are then taken as geospatial information quantities and used to construct an information quantity-based model to assess and predict the landslides in Fuling District, Chongqing City, China, resulting in a risk distribution map. Finally, ROC curve is used to validate the model. With the AUC of success-rate ROC of 0.839 and the AUC of prediction-rate ROC of 0.807, the model is proved reliable to interpret and predict the landslide occurrences in the study area. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Landslide; Risk assessment; Geospatial information quantity model (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s11069-015-1909-1 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:79:y:2015:i:2:p:1385-1398

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-015-1909-1

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().