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dc.creatorAlexander Vega J.
dc.date2019
dc.date.accessioned2020-04-29T14:53:44Z
dc.date.available2020-04-29T14:53:44Z
dc.identifier.issn17578981
dc.identifier.urihttp://hdl.handle.net/11407/5709
dc.descriptionThe study of geo-hazards has been benefited from the technological advances in the field of Remote Sensing (RS) techniques as the ALS (Airborne Laser Scanners) Systems with Very High Resolution (VHR) cameras. Recently, the LiDAR (Light Detection and Ranging) is an active sensor technique used for a variety of geoscientific applications including slope monitoring to retrieve ground surface displacements at high spatial resolution. Additionally, LiDAR has been widely used in order to collect high-resolution information on forests structure for the determination and characterization of vegetation cover due its ability to capture multiple returns and to reach the ground, even in forested areas, allowing the generation of Digital Terrain Models (DTMs) for the estimation of forest variables. In this paper, a LiDAR dataset and VHR imagery from aerial survey was used in the southwest zone of Medellín City-Colombia where the most frequent landslides are shallow and triggered by rainfall. Slopes with gradients up to 30% on residual soils characterize the study area, having about of 30% of forest cover consisting predominantly of Eucalyptus and Coniferous forests. For the estimation of the tree roots effects on the shallow landslides assessment on a natural slope, interpolation processes were developed from the LiDAR 3D point cloud, obtaining DTMs of 1 m-pixel. Additionally, orthophotos with the same spatial resolution were acquired in the aerial campaign. The proposed workflow was implemented on a GIS platform, and considers the extraction of the tree heights by generating a Canopy Height Model (CHM), while for the delineation of the tree crown a process of image segmentation was developed. Once the vegetation has been characterized using LiDAR products and dendrometric relationships, the Limit Equilibrium Method (LEM) was used to evaluate slope stability considering the effect of vegetation (trees). The results indicate that the proposed workflow allows to obtain adequate stability indicators for the estimation of tree roots contribution and additionally, this RS technique allows saving resources in this kind of analysis. © Published under licence by IOP Publishing Ltd.
dc.language.isoeng
dc.publisherInstitute of Physics Publishing
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85072964539&doi=10.1088%2f1757-899X%2f603%2f2%2f022010&partnerID=40&md5=d3d078b726a8310e35e686f31165c900
dc.sourceIOP Conference Series: Materials Science and Engineering
dc.subjectAntennas
dc.subjectImage resolution
dc.subjectImage segmentation
dc.subjectLandslides
dc.subjectOptical radar
dc.subjectRemote sensing
dc.subjectSurveys
dc.subjectUrban planning
dc.subjectVegetation
dc.subjectAirborne laser scanners
dc.subjectDigital terrain model
dc.subjectHigh spatial resolution
dc.subjectLIDAR (light detection and ranging)
dc.subjectLimit equilibrium methods
dc.subjectRemote sensing techniques
dc.subjectStability indicators
dc.subjectTechnological advances
dc.subjectForestry
dc.titleThe Use of Lidar Data and VHR Imagery to Estimate the Effects of Tree Roots on Shallow Landslides Assessment
dc.typeConference Paper
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Civil
dc.identifier.doi10.1088/1757-899X/603/2/022010
dc.citation.volume603
dc.citation.issue2
dc.publisher.facultyFacultad de Ingenierías
dc.affiliationAlexander Vega, J., School of Engineering, Civil Engineering Program, University of Medellin, Colombia
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