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Image processing of airborne scanning laser altimetry data for improved river flood modelling / D.M. Cobby in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 2 (December 2001 - March 2002)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 56 n° 2 (December 2001 - March 2002) . - pp 121 - 138 Titre : Image processing of airborne scanning laser altimetry data for improved river flood modelling Type de document : Article/Communication Auteurs : D.M. Cobby, Auteur ; D.C. Mason, Auteur ; Ian J. Davenport, Auteur Année de publication : 2001 Article en page(s) : pp 121 - 138 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] détection de contours [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] erreur moyenne quadratique [Termes IGN] extraction [Termes IGN] inondation [Termes IGN] modèle de simulation [Termes IGN] modèle hydrographique [Termes IGN] prévention des risques [Termes IGN] segmentation d'image [Termes IGN] télémétrie laser aéroporté Résumé : (Auteur) Airborne scanning laser altimetry (LiDAR) is an important new data source for environmental applications, being able to map topographic height, and the height of surface objects, to high vertical and horizontal accuracy over large areas. This paper describes a range image segmentation system for data from a LiDAR measuring either time of last significant return, or measuring time of both first and last returns. We focus on the application of the segmenter to improving the data required by 2D hydraulic flood models, i.e. maps of topographic height which provide model bathymetry, and vegetation height, which could be converted to distributed floodplain friction coefficients. In addition, the location of river channels and a suitable height contour are used to define the extent of the model domain. An advantage of segmentation is that it allows different topographic and vegetation height extraction algorithms to be used in regions of different cover type. LiDAR data for a reach of the River Severn, UK, is presented. Short vegetation heights (grass and cereal crops) are predicted with a rms error of 14 em. The topography underlying such cover differs from manually measured spot heights by 17 em (rms error). The topographic accuracy decreases in the presence of a densely wooded slope. Errors in the vegetation height map, apparent at the overlap regions of adjacent swaths, are reduced by the removal of heights measured at large scan angles. Copyright ISPRS Numéro de notice : A2001-208 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(01)00039-9 En ligne : https://doi.org/10.1016/S0924-2716(01)00039-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21902 [article]

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