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

Show simple item record Béjar Pizarro, Marta Notti, Davide Mateos Ruiz, Rosa María Ezquerro Martín, Pablo Centolanza, Giuseppe Herrera García, Gerardo Bru Cruz, Guadalupe Sanabria Pabón, Margarita Patricia Solari, Lorenzo Duro, Javier Fernandez Torres, José 2020-06-28T10:23:39Z 2020-06-28T10:23:39Z 2017-08-23
dc.identifier.citation Remote sensing, vol.9, n.876, 1-17. Technical Note es_ES
dc.identifier.issn 2072-4292
dc.description.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. es_ES
dc.description.sponsorship Geohazards InSAR laboratory and Modelling Group, Departamento de Investigación y Prospectiva Geocientífica, Instituto Geológico y Minero de España, España es_ES
dc.description.sponsorship Istituto di ricerca per la protezione idrogeologica, Italia es_ES
dc.description.sponsorship Unidad de Granada, Instituto Geológico y Minero de España, España es_ES
dc.description.sponsorship Dares Technology, España es_ES
dc.description.sponsorship Earth Observation and Geohazards Expert Group, EuroGeoSurveys, Bélgica es_ES
dc.description.sponsorship Instituto de Geociencias, Consejo Superior de Investigaciones Científicas, España es_ES
dc.description.sponsorship Instituto de Geociencias, Universidad Complutense de Madrid, España es_ES
dc.description.sponsorship Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Italia es_ES
dc.language.iso en es_ES
dc.publisher MDPI es_ES
dc.relation ESP2013-47780-C2-2-R es_ES
dc.relation ESP2013-47780-C2-1-R es_ES
dc.rights Acceso abierto es_ES
dc.subject Landslides es_ES
dc.subject InSAR es_ES
dc.subject Sentinel-1 es_ES
dc.subject building damages es_ES
dc.subject deslizamiento terreno es_ES
dc.subject zona urbana es_ES
dc.subject daño catástrofe natural es_ES
dc.subject riesgo natural es_ES
dc.subject provincia Cádiz es_ES
dc.subject Arcos de la Frontera es_ES
dc.title Mapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Data es_ES
dc.type Postprint es_ES
dc.relation.publisherversion es_ES
dc.description.funder Ministerio de Economía y Competitividad, España es_ES
dc.description.funder Fondos FEDER, Unión Europea es_ES
dc.identifier.doi es_ES
dc.coverage.spatialStudy Cádiz, Arcos de la Frontera es_ES

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


My Account