Title
Operational Surface Water Detection and Monitoring Using Radarsat 2.
Abstract
Traditional on-site methods for mapping and monitoring surface water extent are prohibitively expensive at a national scale within Canada. Despite successful cost-sharing programs between the provinces and the federal government, an extensive number of water features within the country remain unmonitored. Particularly difficult to monitor are the potholes in the Canadian Prairie region, most of which are ephemeral in nature and represent a discontinuous flow that influences water pathways, runoff response, flooding and local weather. Radarsat-2 and the Radarsat Constellation Mission (RCM) offer unique capabilities to map the extent of water bodies at a national scale, including unmonitored sites, and leverage the current infrastructure of the Meteorological Service of Canada to monitor water information in remote regions. An analysis of the technical requirements of the Radarsat-2 beam mode, polarization and resolution is presented. A threshold-based procedure to map locations of non-vegetated water bodies after the ice break-up is used and complemented with a texture-based indicator to capture the most homogeneous water areas and automatically delineate their extents. Some strategies to cope with the radiometric artifacts of noise inherent to Synthetic Aperture Radar (SAR) images are also discussed. Our results show that Radarsat-2 Fine mode can capture 88% of the total water area in a fully automated way. This will greatly improve current operational procedures for surface water monitoring information and impact a number of applications including weather forecasting, hydrological modeling, and drought/flood predictions.
Year
DOI
Venue
2016
10.3390/rs8040285
REMOTE SENSING
Keywords
Field
DocType
hydrological modeling,water mapping,wetlands,flooding,SAR,Radarsat-2,RCM,potholes
Meteorology,Synthetic aperture radar,Surface water,Remote sensing,Surface runoff,Wetland,Geology,Ephemeral key,Flooding (psychology),Weather forecasting,Flood myth
Journal
Volume
Issue
Citations 
8
4
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Sandra Bolanos100.34
Doug Stiff200.34
B. Brisco37019.55
Alain Pietroniro400.34