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Influence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM / Samuel B. Gould in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 5 (May 2013) . - pp 421 - 431 Titre : Influence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM Type de document : Article/Communication Auteurs : Samuel B. Gould, Auteur ; Nancy F. Glenn, Auteur ; Temuulen T. Sankey, Auteur ; James P. Macnamara, Auteur Année de publication : 2013 Article en page(s) : pp 421 - 431 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] arbuste [Termes IGN] données GPS [Termes IGN] données lidar [Termes IGN] erreur de mesure [Termes IGN] Idaho (Etats-Unis) [Termes IGN] modèle numérique de surface [Termes IGN] montagne [Termes IGN] signal laser [Termes IGN] signal lidar Résumé : (Auteur) Airborne lidar provides an effective platform for collecting elevation data. However, the accuracy of lidar-derived digital elevation models (dbms) can be adversely affected by natural conditions as well as methods used to process the data. Using a lidar dataset from a mountainous region of southwest Idaho, this study extends previous assessments of DEM accuracy with a focused investigation of a specific dense, low-height shrub species (Ceanothus velutinus). Bare-earth elevations were collected using survey-grade GPS and compared to lidar-derived elevations to assess DEM accuracy. Results suggest that the magnitude of elevation error varied depending on morphological characteristics of ceanothus, terrain slope, and filtering parameters used to process the lidar data. When using optimal filtering parameters, root mean square error (RMSEZ) was largest in areas of ceanothus cover, ranging from 0.17 to 0.26m in slopes 25°. An examination of lidar returns found that ceanothus obstructed laser pulse penetration and few returns reached the ground surface. In areas of ceanothus cover, we conclude that the obstruction of the ground surface contributed to filtering errors, which resulted in mislabeled ground returns and decreased accuracy in bare-earth OEMs. These results have implications for the use of lidar-derived OEMs in areas of ceanothus throughout western North America, and in ecosys-tems with similar dense shrub cover. Numéro de notice : A2013-280 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.5.421 En ligne : https://doi.org/10.14358/PERS.79.5.421 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32418 [article]