English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/185599
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data

AuthorsBéjar-Pizarro, Marta; Notti, Davide; Mateos, Rosa M.; Ezquerro, Pablo; Centolanza, Giuseppe; Herrera, Gerardo; Bru, Guadalupe ; Sanabria, Margarita; Solari, Lorenzo; Duro, Javier; Fernández Torres, José
KeywordsLandslides
InSAR
Sentinel-1
Building damages
Issue Date23-Aug-2017
PublisherMultidisciplinary Digital Publishing Institute
CitationRemote Sensing 9(9): 876 (2017)
AbstractLandslides are widespread natural hazards that generate considerable damage and economic losses worldwide. Detecting terrain movements caused by these phenomena and characterizing affected urban areas is critical to reduce their impact. Here we present a fast and simple methodology to create maps of vulnerable buildings affected by slow-moving landslides, based on two parameters: (1) the deformation rate associated to each building, measured from Sentinel-1 SAR data, and (2) the building damage generated by the landslide movement and recorded during a field campaign. We apply this method to Arcos de la Frontera, a monumental town in South Spain affected by a slow-moving landslide that has caused severe damage to buildings, forcing the evacuation of some of them. Our results show that maximum deformation rates of 4 cm/year in the line-of-sight (LOS) of the satellite, affects La Verbena, a newly-developed area, and displacements are mostly horizontal, as expected for a planar-landslide. Our building damage assessment reveals that most of the building blocks in La Verbena present moderate to severe damages. According to our vulnerability scale, 93% of the building blocks analysed present high vulnerability and, thus, should be the focus of more in-depth local studies to evaluate the serviceability of buildings, prior to adopting the necessary mitigation measures to reduce or cope with the negative consequences of this landslide. This methodology can be applied to slow-moving landslides worldwide thanks to the global availability of Sentinel-1 SAR data.
Publisher version (URL)https://doi.org/10.3390/rs9090876
URIhttp://hdl.handle.net/10261/185599
DOI10.3390/rs9090876
ISSN2072-4292
E-ISSN2072-4292
Appears in Collections:(IGEO) Artículos
Files in This Item:
File Description SizeFormat 
Mapping Vulnerable Urban Areas_BejarPizarro.pdf41,33 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.