| Title | Monitoring landslides from InSAR techniques |
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| Author | Singhroy, V; Molch, K |
| Source | 2003 Geological Association of Canada-Mineralogical Association of Canada Joint Annual Meeting: abstracts; Geological Association of Canada-Mineralogical Association of Canada, Joint Annual Meeting,
Abstracts Volume vol. 28, 2003, 1 pages  Open Access |
| Links | Online - En ligne
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| Year | 2003 |
| Alt Series | Earth Sciences Sector, Contribution Series 20090061 |
| Meeting | 2003 Geological Association of Canada-Mineralogical Association of Canada Joint Annual Meeting; Vancouver; CA; May 26-28, 2003 |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; CD-ROM; digital |
| File format | html; pdf (Adobe® Reader®) |
| Province | Alberta |
| NTS | 82G/09 |
| Area | Frank; Turtle Mountain; Crowsnest Pass |
| Lat/Long WENS | -114.5000 -114.0000 49.7500 49.5000 |
| Subjects | surficial geology/geomorphology; landslides; deformation; satellite imagery; remote sensing; slope stability analyses; interference patterns; displacement; flow structures; limestones; flow mechanisms;
Frank Slide; monitoring; Paleozoic; Quaternary; Cenozoic |
| Released | 2003 01 01 |
| Abstract | Landslides have killed more Canadians than any other natural hazards. Developing new remote sensing techniques to identify, characterise and monitor motion of landslides will assist in the current
national landslide inventory and hazard mapping programs now being planned. Recent research has shown that InSAR techniques have been used to monitor landslide motion under limited conditions.
In this presentation, we report on the use of
high-resolution airborne and space borne InSAR images, to map landslide geomorphology and monitor motion on large rock avalanches along strategic transportation corridors in high relief areas. Examples are selected from two different sites in the
Canadian Cordillera. Our results have shown that InSAR techniques can be used to monitor landslide motion. We recommend that these methods be used along with other field monitoring tools to provide a more integrated monitoring system in high risk
areas. |
| GEOSCAN ID | 247408 |
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