Kelp Beds Distribution and Biomass Estimates Using Remote Sensing
The research is about the use of remote sensing technology to assess the spatial distribution and to estimate the biomass of marine kelp resources. Underwater kelp beds are detected with optical sensors that record electromagnetic radiations of the green and red spectral bands. Optical properties of Canadian North Atlantic coastal waters allow airborne and satellite sensors to detect kelp beds growing at depths of six to ten metres. High spatial resolution airborne sensors such as CASI are well suited for the detection of kelp populations that form narrow bands near the shoreline. Landsat and SPOT satellite images, on the other hand, represent cost-effective sources of information to assess kelp beds spread over an area of several square kilometres and away from the shore. By combining non-site specific in situ data with remote sensing imagery, the biomass of kelp populations can be estimated more accurately than with in situ data only. Related publications: Simms É. L. 2003 Submerged kelp biomass assessment using CASI in D. R. Green and S. D. King (eds.) Coastal and Marine Geo-Information Systems, [Netherlands: Springer]: 501-509. Simms É. L. and J.-M. M. Dubois 2001. Satellite Remote Sensing of Submerged Kelp Beds on the Atlantic coast of Canada. International Journal of Remote Sensing, 22(11): 2083-2094. Simms, É. 1997. Submerged Kelp Biomass Assessment Using CASI. Paper presented at the COASTGIS97 Conference, Aberdeen, August.
01 Jan 1997
31 Dec 2003
Mapping & Surveys
Strategic Research Theme
Information and Communication Technology
Oceans, Fisheries and Aquaculture