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TitleTopographic LiDAR - providing a new perspective in the Mackenzie Delta
 
AuthorWhalen, DORCID logo; Forbes, DORCID logo; Hopkinson, C; Lavergne, J C; Manson, G; Marsh, P; Solomon, S
SourceProceedings, 30th Canadian Symposium on Remote Sensing; by CSRS; 2009 p. 160
LinksOnline - En ligne (presentation, PDF 690 KB)
LinksAbstracts volume
Year2009
Alt SeriesEarth Sciences Sector, Contribution Series 20090126
PublisherCanadian Aeronautics and Space Institute (CASI)
Meeting30th Canadian Symposium on Remote Sensing; Lethbridge; CA; June 22-26, 2009
Documentserial
Lang.English
MediaCD-ROM; digital
File formatpdf
ProvinceNorthwest Territories; Yukon
NTS107A; 107B; 107C; 107D; 117A; 117D
AreaMackenzie Delta
Lat/Long WENS-140.0000 -128.0000 70.0000 68.0000
Subjectsgeophysics; surficial geology/geomorphology; Nature and Environment; remote sensing; floods; flood plains; flood potential
ProgramEnvironmental Geoscience environmental impacts and adaptation in the northern environment
Released2009 01 01
AbstractTopographic LiDAR is being used to map flooding hazards along the Beaufort Sea coast, in particular on the outer Mackenzie Delta. Flooding can be caused by storm surges anywhere along the coast and by high river discharge or backwater at spring breakup. LiDAR data are ideal for feature recognition and quantification, providing small-scale geomorphological and depositional details within a larger-scale context. The identification and formation of coastal and river levees, crevasses, secondary channels, and floodplain topography can be useful in determining flooding thresholds, inundation pathways, and drainage patterns. Indicators of past flooding events such as lines of driftwood debris, dead vegetation patterns and the accumulation of alluvial material inland can also be detected through the topographic LiDAR data. Due to the relatively flat nature of much of the low-lying modern Mackenzie Delta, slight increases in water levels can produce extensive additional flooding inland. Flood-simulation models based on LiDAR digital elevation models can show the potential for inland flooding for a given storm-surge water level at the coast. The intensity and severity of coastal flood hazards in this region are expected to increase over the next century due to climate warming, land subsidence, accelerated sea-level rise, and a possible reduction in sea ice. In this context, it is important to develop a better understanding of flood hazards under present conditions. Information derived from LiDAR datasets provide a new perspective for this poorly mapped region, which will ultimately help to better understand the effects of global climate change and constraints on industrial development in a high-latitude deltaic and coastal setting.
GEOSCAN ID247641

 
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