|Titre||Multi-scale geoscience information for decision-makers, Great Slave Region, NWT|
|Auteur||Wolfe, S A; Stevens, C W; Olthof, I; Short, N; Avey, C|
|Source||39th Annual Yellowknife Geoscience Forum, abstracts of talks and posters; par Fischer, B J; Watson, D M; Northwest Territories Geoscience Office, Yellowknife Geoscience Forum Abstracts Volume vol. 2011,
2011 p. 88-89|
|Liens||Online - En ligne |
|Séries alt.||Secteur des sciences de la Terre, Contribution externe 20110261|
|Réunion||2011 Yellowknife Geoscience Forum; Yellowknife; CA; Novembre 15-17, 2011|
|Document||publication en série|
|Province||Territoires du Nord-Ouest|
|Sujets||télédétection; imagerie par satellite; techniques de cartographie; cartographie par ordinateur; types de terrain; sensitivité de terrain; géologie des dépôts meubles/géomorphologie; géologie de
|Programme||Gestionn aire de programme - sciences de changements climatiques, Géosciences de changements climatiques|
|Résumé||(disponible en anglais seulement)|
Decision-makers typically require environmental geoscience information at a range of spatial scales in order to accommodate their needs. For example,
regional-scale information may be needed at an initial scoping stage, area-scale information at the planning and design stage, and local-scale information at the construction and remediation stages. Thus, geoscience mapping information at various
scales often forms an integral part of the knowledge required for decision-making. In many areas of the North, including the Great Slave region, this information is not available, which hinders the decision-making and regulatory process.
present examples of geoscience information at three ranges of scale, which may be used for decision-making. Examples are drawn from research underway in the collaborative Great Slave ¿ TRACS (Transportation Risk in the Arctic to Climatic Sensitivity)
project. The examples shown draw upon the use of remote sensing methodologies, coupled with field validations and measurements, including Landsat and SPOT5 derived surficial and vegetation mapping, InSAR (interferometric synthetic aperture radar)
derived subsidence, and LiDAR (light detection and ranging) derived topography and terrain analysis.
At a regional-scale, topographic data used to generate DEMs may be coupled with Landsat and SPOT5 imagery to derive surficial geology and
vegetation cover maps, and to define potential permafrost and geotechnical conditions within the Great Slave region. This is illustrated with prelimary surficial and vegetation maps for the Yellowknife region applicable to scoping-level
decision-making. At an area-scale, data at 1-4 m spatial resolution are used to derive baseline DEMs and to calculate surface subsidence at centimetre resolution from InSAR. Examples of InSAR derived subsidence maps for the Yellowknife area and NWT
Highway 3 are shown as applicable to planning-level stages of decision making. These data, in turn, may be validated with on-the-ground elevation surveys or from LiDAR which provide information at the local-level. An example of LiDAR derived
local-scale topographic information for Highway 3 is shown as applicable for remediation stage activities.