Hydrology and Earth System Sciences, HESS / European Geosciences Union . vol 13 n° 8Paru le : 26/08/2009 ISBN/ISSN/EAN : |
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Ajouter le résultat dans votre panierTerrain surfaces and 3-D Landcover classification from small footprint full-waveform Lidar data: application to badlands / Frédéric Bretar in Hydrology and Earth System Sciences, HESS, vol 13 n° 8 (26/08/2009)
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Titre : Terrain surfaces and 3-D Landcover classification from small footprint full-waveform Lidar data: application to badlands Type de document : Article/Communication Auteurs : Frédéric Bretar, Auteur ; Adrien Chauve , Auteur ; Jean-Stéphane Bailly, Auteur ; Clément Mallet , Auteur ; A. Jacome, Auteur Année de publication : 2009 Projets : 3-projet - voir note / Article en page(s) : pp 1531 - 1545 Note générale : Bibliographie
The authors are grateful to INSU for its support to GIS Draix through the ORE programLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] empreinte
[Termes IGN] hydrographie de surface
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] modèle numérique de terrain
[Termes IGN] occupation du sol
[Termes IGN] orthoimage couleur
[Termes IGN] risque naturel
[Termes IGN] semis de points
[Termes IGN] signal laserRésumé : (Auteur) This article presents the use of new remote sensing data acquired from airborne full-waveform lidar systems for hydrological applications. Indeed, the knowledge of an accurate topography and a landcover classification is a prior knowledge for any hydrological and erosion model. Badlands tend to be the most significant areas of erosion in the world with the highest erosion rate values. Monitoring and predicting erosion within badland mountainous catchments is highly strategic due to the arising downstream consequences and the need for natural hazard mitigation engineering.
Additionally, beyond the elevation information, full-waveform lidar data are processed to extract the amplitude and the width of echoes. They are related to the target reflectance and geometry. We will investigate the relevancy of using lidar-derived Digital Terrain Models (DTMs) and the potentiality of the amplitude and the width information for 3-D landcover classification. Considering the novelty and the complexity of such data, they are presented in details as well as guidelines to process them. The morphological validation of DTMs is then performed via the computation of hydrological indexes and photo-interpretation. Finally, a 3-D landcover classification is performed using a Support Vector Machine classifier. The use of an ortho-rectified optical image in the classification process as well as full-waveform lidar data for hydrological purposes is finally discussed.Numéro de notice : A2009-592 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/hess-13-1531-2009 Date de publication en ligne : 26/08/2009 En ligne : http://dx.doi.org/10.5194/hess-13-1531-2009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33545
in Hydrology and Earth System Sciences, HESS > vol 13 n° 8 (26/08/2009) . - pp 1531 - 1545[article]