Descripteur
Termes IGN > 1- Descripteurs géographiques > monde (géographie politique) > Amérique (géographie politique) > Etats-Unis > Virgine Occidentale
Virgine Occidentale |
Documents disponibles dans cette catégorie (2)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Predicting palustrine wetland probability using random forest machine learning and digital elevation data-derived terrain variables / Aaron E. Maxwell in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 6 (June 2016)
[article]
Titre : Predicting palustrine wetland probability using random forest machine learning and digital elevation data-derived terrain variables Type de document : Article/Communication Auteurs : Aaron E. Maxwell, Auteur ; Thimoty A. Warner, Auteur ; Michael P. Strager, Auteur Année de publication : 2016 Article en page(s) : pp 437 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données topographiques
[Termes IGN] Etats-Unis
[Termes IGN] inventaire
[Termes IGN] marais salant
[Termes IGN] modèle numérique de terrain
[Termes IGN] prédiction
[Termes IGN] surveillance écologique
[Termes IGN] Virgine OccidentaleRésumé : (Auteur) The probability of palustrine wetland occurrence in the state of West Virginia, USA, was mapped based on topographic variables and using random forests (RF) machine learning. Models were developed for both selected ecological subregions and the entire state. The models were first trained using pixels randomly selected from the United States National Wetland Inventory (NWI) dataset and were tested using a separate random subset from the NWI and a database of wetlands not found in the NWI provided by the West Virginia Division of Natural Resources (WVDNR). The models produced area under the curve (AUC) values in excess of 0.90, and as high as 0.998. Models developed in one ecological subregion of the state produced significantly different AUC values when applied to other subregions, indicating that the topographical models should be extrapolated to new physiographic regions with caution. Several previously unexplored DEM-derived terrain variables were found to be of value, including distance from water bodies, roughness, and dissection. Non-NWI wetlands were mapped with an AUC value of 0.956, indicating that the probability maps may be useful for finding potential palustrine wetlands not found in the NWI . Numéro de notice : A2016-442 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.6.437 En ligne : http://dx.doi.org/10.14358/PERS.82.6.437 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81348
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 6 (June 2016) . - pp 437 - 447[article]The potential of virtual reality technology for analysis of remotely sensed data: a Lidar case study / T. Warner in Geocarto international, vol 18 n° 1 (March - May 2003)
[article]
Titre : The potential of virtual reality technology for analysis of remotely sensed data: a Lidar case study Type de document : Article/Communication Auteurs : T. Warner, Auteur ; M.D. Nellis, Auteur ; T. Brandtberg, Auteur ; J.B. Mc Graw, Auteur ; J.V. Gardner, Auteur Année de publication : 2003 Article en page(s) : pp 25 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] forêt tempérée
[Termes IGN] image à haute résolution
[Termes IGN] interactivité
[Termes IGN] interpolation spatiale
[Termes IGN] lissage de données
[Termes IGN] orthophotographie
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] réalité virtuelle
[Termes IGN] système d'information géographique
[Termes IGN] Virgine Occidentale
[Termes IGN] visualisation 3DRésumé : (Auteur) Although the GIS community has been quick to exploit the advantages of virtual reality (VR) for display and analysis of spatial data, VR does not appear to have been exploited widely for remote sensing data analysis. A case study of high resolution lidar data acquired over a deciduous forest near Morgantown, WV was used to investigate the potential and limitations of current VR software for remote sensing analysis. The functionality within a standard remote sensing software package was found to provide a good overview of interpolated, smoothed lidar data, but was less useful for gridded data that had not been interpolated. With gridded data, it was possible to drape orthophotographs or other images over the lidar data, providing a useful method for investigating relationships between lidar and other data. Alternatively, using a commercial VR package, it was possible to view the original lidar point data, and thus visualize the multiple returns from within the canopy of each tree. The point data were preferable for identification of surfaces within the data cloud, especially the ground surface. For a fully integrated remote sensing VR package, functionality will be needed to link point and interpolated coverages, and also to enhance the interactive selection of data for further statistical analysis, Numéro de notice : A2003-100 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040308542260 En ligne : https://doi.org/10.1080/10106040308542260 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22396
in Geocarto international > vol 18 n° 1 (March - May 2003) . - pp 25 - 32[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-03011 RAB Revue Centre de documentation En réserve L003 Disponible