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Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data
- Source :
- Digital.CSIC. Repositorio Institucional del CSIC, instname, E-Prints Complutense. Archivo Institucional de la UCM, Recercat. Dipósit de la Recerca de Catalunya, E-Prints Complutense: Archivo Institucional de la UCM, Universidad Complutense de Madrid, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Remote sensing (Basel) 9 (2017). doi:10.3390/rs9090876, info:cnr-pdr/source/autori:Bejar-Pizarro, Marta; Notti, Davide; Mateos, Rosa M.; Ezquerro, Pablo; Centolanza, Giuseppe; Herrera, Gerardo; Bru, Guadalupe; Sanabria, Margarita; Solari, Lorenzo; Duro, Javier; Fernandez, Jose/titolo:Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data/doi:10.3390%2Frs9090876/rivista:Remote sensing (Basel)/anno:2017/pagina_da:/pagina_a:/intervallo_pagine:/volume:9, Remote Sensing, Vol 9, Iss 9, p 876 (2017)
- Publication Year :
- 2017
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2017.
-
Abstract
- Landslides 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.<br />Geohazards InSAR laboratory and Modelling Group, Departamento de Investigación y Prospectiva Geocientífica, Instituto Geológico y Minero de España, España<br />Istituto di ricerca per la protezione idrogeologica, Italia<br />Unidad de Granada, Instituto Geológico y Minero de España, España<br />Dares Technology, España<br />Earth Observation and Geohazards Expert Group, EuroGeoSurveys, Bélgica<br />Instituto de Geociencias, Consejo Superior de Investigaciones Científicas, España<br />Instituto de Geociencias, Universidad Complutense de Madrid, España<br />Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Italia
- Subjects :
- Moderate to severe
Geodinámica
010504 meteorology & atmospheric sciences
Serviceability (structure)
building damages
0211 other engineering and technologies
Terrain
02 engineering and technology
01 natural sciences
riesgo natural
InSAR
Mining engineering
Natural hazard
Interferometric synthetic aperture radar
Geotechnical engineering
Geología
lcsh:Science
Field campaign
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Landslide
Arcos de la Frontera
deslizamiento terreno
Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]
Esllavissades
zona urbana
daño catástrofe natural
General Earth and Planetary Sciences
Environmental science
Sentinel-1
lcsh:Q
provincia Cádiz
Landslides
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Digital.CSIC. Repositorio Institucional del CSIC, instname, E-Prints Complutense. Archivo Institucional de la UCM, Recercat. Dipósit de la Recerca de Catalunya, E-Prints Complutense: Archivo Institucional de la UCM, Universidad Complutense de Madrid, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Remote sensing (Basel) 9 (2017). doi:10.3390/rs9090876, info:cnr-pdr/source/autori:Bejar-Pizarro, Marta; Notti, Davide; Mateos, Rosa M.; Ezquerro, Pablo; Centolanza, Giuseppe; Herrera, Gerardo; Bru, Guadalupe; Sanabria, Margarita; Solari, Lorenzo; Duro, Javier; Fernandez, Jose/titolo:Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data/doi:10.3390%2Frs9090876/rivista:Remote sensing (Basel)/anno:2017/pagina_da:/pagina_a:/intervallo_pagine:/volume:9, Remote Sensing, Vol 9, Iss 9, p 876 (2017)
- Accession number :
- edsair.doi.dedup.....a7abe49f410bcccd8a4d402e2b99e603