Titre | Methods for remote engineering geology terrain analysis in boreal forest regions of Ontario, Canada |
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Auteur | Barnett, P J; Singhroy, V H; Shirota, J; Leney, S J |
Source | Environmental & Engineering Geoscience vol. 10, no. 3, 2004 p. 229-241, https://doi.org/10.2113/10.3.229 |
Liens | Abstract - Résumé
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Année | 2004 |
Séries alt. | Secteur des sciences de la Terre, Contribution externe 2005085 |
Éditeur | GeoScienceWorld |
Document | publication en série |
Lang. | anglais |
DOI | https://doi.org/10.2113/10.3.229 |
Media | papier; en ligne; numérique |
Formats | pdf |
Province | Ontario |
SNRC | 43E/03; 43E/04; 43E/05; 43E/06 |
Région | le nord de l'Ontario |
Lat/Long OENS | -88.0000 -87.0000 53.5000 53.0000 |
Sujets | télédétection; analyse de terrains; topographie; topographie; réseaux hydrographiques; imagerie par satellite; images du satellite LANDSAT; établissement de modèles; dépôts glaciaires; Wisconsinien;
glaciation; dépôts glaciolacustres; techniques de cartographie; Bouclier Canadien; Calotte glaciaire Laurentide; système d'information géographique; géologie de l'ingénieur; géologie des dépôts meubles/géomorphologie |
Illustrations | cartes de localisation; organigrammes; images satellitaires |
Programme | Ministère du Développement du Nord et des Mines, Commission géologique de l'Ontario, Programme de financement |
Diffusé | 2004 08 01 |
Résumé | (disponible en anglais seulement) The Ontario Geological Survey and Canada Centre for Remote Sensing have developed methods for engineering geology terrain analysis using digital elevation
models (DEMs) and remotely sensed imagery for remote areas within the boreal forest region of the Canadian Shield. Traditional methods of terrain analysis would be expensive because of the limited access and the vast area involved. Four main
components of the terrain are considered: material, landform, relief, and regional drainage conditions. Landform (roughness) and relief are derived automatically from an analysis of a detailed hydrological-conditioned DEM. Regional drainage
conditions are estimated from RADARSAT imagery with a mask based on the use of aspect and slope to limit the effects of topography on backscatter. Various types of analysis of LANDSAT imagery are then combined with all the above digital data layers
to interpret material type. An automated method that first determines the relationships of the various layers of digital information in areas of known terrain conditions and then predicts terrain conditions in adjacent unmapped areas, is
discussed. |
GEOSCAN ID | 220652 |
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