GEOSCAN, résultats de la recherche


TitreTopographic LiDAR - providing a new perspective in the Mackenzie Delta
AuteurWhalen, D; Forbes, D; Hopkinson, C; Lavergne, J C; Manson, G; Marsh, P; Solomon, S
SourceProceedings, 30th Canadian Symposium on Remote Sensing; par CSRS; 2009 p. 160
Séries alt.Secteur des sciences de la Terre, Contribution externe 20090126
ÉditeurCanadian Aeronautics and Space Institute (CASI)
Réunion30th Canadian Symposium on Remote Sensing; Lethbridge; CA; juin 22-26, 2009
Documentpublication en série
MediaCD-ROM; numérique
ProvinceTerritoires du Nord-Ouest; Yukon
SNRC107A; 107B; 107C; 107D; 117A; 117D
Lat/Long OENS-140.0000 -128.0000 70.0000 68.0000
Sujetstélédétection; inondations; plaines d'inondation; potentiel d'inondation; géophysique; géologie des dépôts meubles/géomorphologie
Programmeadaptation et impacts sur l'environnement, environnement du nord, Géosciences de l'environnement
LiensOnline - En ligne (presentation, PDF 690 KB)
LiensAbstracts volume
Résumé(disponible en anglais seulement)
Topographic 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.