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A methodology to characterize vertical accuracies in lidar-derived products at landscape scales / Wade T. Tinkham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 8 (August 2013) . - pp 709 - 716 Titre : A methodology to characterize vertical accuracies in lidar-derived products at landscape scales Type de document : Article/Communication Auteurs : Wade T. Tinkham, Auteur ; Chad .m Hoffman, Auteur ; Michael J. Falkowski, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 709 - 716 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] modèle numérique de surface [Termes IGN] paysage [Termes IGN] précision altimétrique Résumé : (Auteur) Light detection and ranging (lidar) is the premier technology for high-resolution elevation measurements in complex landscapes. Lidar error assessments allow for objective interpretation of Digital Elevation Models (DEMs) and products reliant on these layers. The purpose of this study is to spatially estimate the vertical error of a lidar-derived DEM across seven cover types through modeling of field survey data. We use thirty-four variables and ground-based field survey data in a Random Forest regression to predict elevation error. Four variables captured the variability within the lidar errors, with three variables relevant to the distribution of returns within the vegetation and one relating to the terrain form. Good agreement was observed when comparing the survey against the model predictions (u = -0.02 m, s = 0.13 m, and RMSE = 0.14 m). With most lidar products reliant upon accurate production of DEMs, providing spatially explicit assessments of uncertainty at the landscape level will increase user confidence in lidar products. Numéro de notice : A2013-425 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.8.709 En ligne : https://doi.org/10.14358/PERS.79.8.709 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32563 [article]