| Title | Multi-scale geoscience information for decision-makers, Great Slave Region, NWT |
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| Author | Wolfe, S A ;
Stevens, C W; Olthof, I; Short, N; Avey, C |
| Source | 39th Annual Yellowknife Geoscience Forum, abstracts of talks and posters; by Fischer, B J; Watson, D M; Northwest Territories Geoscience Office, Yellowknife Geoscience Forum Abstracts Volume vol. 2011,
2011 p. 88-89  Open Access |
| Links | Online - En ligne
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| Image |  |
| Year | 2011 |
| Alt Series | Earth Sciences Sector, Contribution Series 20110261 |
| Meeting | 2011 Yellowknife Geoscience Forum; Yellowknife; CA; November 15-17, 2011 |
| Document | serial |
| Lang. | English |
| Media | paper |
| File format | pdf |
| Province | Northwest Territories |
| Area | Great Slave Lake |
| Subjects | surficial geology/geomorphology; environmental geology; Nature and Environment; remote sensing; satellite imagery; mapping techniques; computer mapping; terrain types; terrain sensitivity |
| Program | Climate Change Geoscience |
| Released | 2011 01 01 |
| Abstract | 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.
We 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. |
| GEOSCAN ID | 289543 |
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