J
Javier Hervás
Researcher at Institute for the Protection and Security of the Citizen
Publications - 28
Citations - 2185
Javier Hervás is an academic researcher from Institute for the Protection and Security of the Citizen. The author has contributed to research in topics: Landslide & Lidar. The author has an hindex of 13, co-authored 27 publications receiving 1783 citations. Previous affiliations of Javier Hervás include European Commission.
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Journal ArticleDOI
Recommendations for the quantitative analysis of landslide risk
Jordi Corominas,C.J. van Westen,Paolo Frattini,Leonardo Cascini,Jean-Philippe Malet,Stavroula Fotopoulou,Filippo Catani,M. van den Eeckhaut,Olga Mavrouli,Federico Agliardi,Kyriazis Pitilakis,Mike G. Winter,Manuel Pastor,Settimio Ferlisi,Veronica Tofani,Javier Hervás,J.T. Smith +16 more
TL;DR: In this article, the authors present recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results.
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Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain
TL;DR: In this paper, a GIS database was compiled and used to generate mass movement hazard maps at a medium scale (1:25,000) in a high-relief area in central Gran Canaria Island, Spain.
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Monitoring landslides from optical remotely sensed imagery: the case history of Tessina landslide, Italy
TL;DR: In this article, an image-processing method to map and monitor landslide activity using multitemporal optical imagery is proposed, which entails automatic change detection of suitably pre-processed (geometrically registered and radiometric normalised) sequential images, followed by thresholding into landslide-related change pixels.
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State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk
TL;DR: A detailed analysis of existing national landslide databases in the EU member states, EU official candidate and potential candidate countries and EFTA countries, and their possible use for landslide zoning is presented in this article, and a flow chart is presented that classifies European countries by ability to perform national scale landslide susceptibility, hazard and risk analyses.
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Object-oriented identification of forested landslides with derivatives of single pulse LiDAR data
TL;DR: In this paper, the potential of object-oriented analysis (OOA) using only single-pulse LiDAR derivatives, such as slope gradient, roughness and curvature, to map landslides is investigated.