| Title | Application of Remote Sensing to Environmental Monitoring: A Case Study of the 1996 Saguenay Flood in Québec |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Fung, K B; Yatabe, S M; Pultz, T J; Fedosejevs, G |
| Source | Quebec '98 Conference, Annual meeting of the Geological Association of Canada/Mineralogical Assoc. of Canada, May; 1998 p. 14, https://doi.org/10.4095/219368
 Open Access |
| Year | 1998 |
| Alt Series | Earth Sciences Sector, Contribution Series 20042566 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Released | 1998 01 01 |
| Abstract | Remote sensing has been used widely for monitoring natural resources over large territories. Recently, with advances in sensor technology and computation power, application of remote sensing has been
extended to monitoring local situations that have been traditionally served by black and white survey aerial photographs. In 1996, after the flood in the Saguenay region, the Canada Centre for Remote Sensing mobilized a team to study the application
of advanced remote sensing technology to assist the rehabilitation efforts by various groups and governments. Satellite and airborne sensors, including Landsat Thematic Mapper (TM), SPOT Haute Résolution Visible (HRV), Radarsat Synthetic Aperture
Radar (SAR) imagery and multispectral airborne videography, were acquired after the flood in the Saguenay region. The black and white aerial photographs acquired at the same time as the videography were used as a visual reference for the study. The
images were analyzed and interpreted with the assistance of scientists from the Geological Survey of Canada. This paper summarizes the flood information provided by the different datasets, moving from a regional to a local scale. It also discusses
issues involved in flood monitoring and compares high resolution videography with optical and microwave satellite sensors. |
| GEOSCAN ID | 219368 |
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