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Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions / Jason M. Stocker in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 59 - 70 Titre : Integrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions Type de document : Article/Communication Auteurs : Jason M. Stocker, Auteur ; Mark A. Cochrane, Auteur ; David P. Roy, Auteur Année de publication : 2014 Article en page(s) : pp 59 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] base de données localisées [Termes IGN] données lidar [Termes IGN] hauteur (coordonnée) [Termes IGN] intégration de données [Termes IGN] occupation du sol [Termes IGN] régression linéaire [Termes IGN] United States Geological Survey Résumé : (Auteur) With the acquisition of lidar data for over 30 percent of the US, it is now possible to assess the three-dimensional distribution of features at the national scale. This paper integrates over 350 billion lidar points from 28 disparate datasets into a national-scale database and evaluates if height above ground is an important variable in the context of other national-scale layers, such as the US Geological Survey National Land Cover Database and the US Environmental Protection Agency ecoregions maps. While the results were not homoscedastic and the available data did not allow for a complete height census in any of the classes, it does appear that where lidar data were used, there were detectable differences in heights among many of these national classification schemes. This study supports the hypothesis that there were real, detectable differences in heights in certain national-scale classification schemes, despite height not being a variable used in any of the classification routines. Numéro de notice : A2014-092 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.59 En ligne : https://doi.org/10.14358/PERS.80.1.59 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32997 [article]