Centre de documentation
scientifique

Terrestrial laser scanning and exploratory spatial data analysis for the mapping of weathering forms on rock art panels / B. Vogt in Geocarto international, vol 25 n° 5 (August 2010)  

Public [article]  inGeocarto international > vol 25 n° 5 (August 2010) . - pp 347 - 367 Titre : Terrestrial laser scanning and exploratory spatial data analysis for the mapping of weathering forms on rock art panels Type de document : Article/Communication Auteurs : B. Vogt, Auteur ; R. Edsall, Auteur Année de publication : 2010 Article en page(s) : pp 347 - 367 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] art rupestre [Termes IGN] carte thématique [Termes IGN] classification dirigée [Termes IGN] exploration de données géographiques [Termes IGN] rocher [Termes IGN] télémétrie laser terrestre Résumé : (Auteur) Rock art conservators are faced with complex decisions to prioritize rock art panels for protection from destructive forces of weathering. We provide a system to facilitate such decision making that blends traditional remote sensing with interactive techniques of exploratory spatial data analysis. Our system, 'mapping weathering forms in three-dimensional (3D)' (MapWeF) uses a 3D laser scanning device for sub-centimetre data collection from in situ rock surfaces. After image and digital surface model processing, key rock weathering forms are highlighted through classification. Supervised classification builds training classes as a user probes known weathering forms. Guided by these training classes, the user then interactively brushes and assembles pixels from scatter plots until the user is confident that all manifestations of a particular weathering form have been mapped. The purpose of MapWeF is to construct detailed maps that highlight regions of decay on rock art panels. These maps can help rock art conservators take action on panels in need of urgent preservation or remediation. Numéro de notice : A2010-310 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040903524922 Date de publication en ligne : 09/02/2010 En ligne : https://doi.org/10.1080/10106040903524922 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30504 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2010051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Extracting high points from statistical surfaces: a case study using digital elevation model / E.A. Wentz in Cartography and Geographic Information Science, vol 28 n° 4 (October 2001)  

Public [article]  inCartography and Geographic Information Science > vol 28 n° 4 (October 2001) . - pp 259 - 271 Titre : Extracting high points from statistical surfaces: a case study using digital elevation model Type de document : Article/Communication Auteurs : E.A. Wentz, Auteur ; M. Kuby, Auteur ; B. Vogt, Auteur Année de publication : 2001 Article en page(s) : pp 259 - 271 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Arizona (Etats-Unis) [Termes IGN] extraction automatique [Termes IGN] modèle numérique de surface [Termes IGN] sommet (relief) [Termes IGN] surface (géométrie) Résumé : (Auteur) We introduce and test an algorithm for extracting highpoint locations from statistical surface data. The algorithm uses map algebra and local neighbourhood analysis via three key parameters: minimum vertical gain, vertical gain neighbourhood, and horizontal separation neighbourhood. Though the method is applicable to any x,y,z data set, we tested it on 1:250,000 digital elevation models (DEMs) for Arizona. The resulting high points were compared quantitatively with an independent data set of named summits from the USGS Geographic Names Information System (GNIS). The comparison showed that, on an aggregate basis, the extraction method can approximate the number and spatial pattern of high points when compared to the GN IS points. However, extraction by neighbourhood analysis may consistently misdiagnose certain features, such as the edges of troughs (e.g., canyon rims). Numéro de notice : A2001-163 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1559/152304001782152964 En ligne : https://doi.org/10.1559/152304001782152964 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21858 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible