Research Projects
- Hyperspectral remote sensing data analysis and applications:
We demonstrate that airborne and satellite hyperspectral sensing can provide accurate maps of Canadian west-coastal forest species and high correlations between ground measurements of foliar nitrogen and estimates derived from hyperspectral sensing. Methods are developed for mapping forest health status bioindicators: leaf chlorophyll, nitrogen, and water content. Hyperspectral remote sensing is used to provide forest information products for applications in forest inventory, forest chemistry, and for Kyoto Protocol information products.
- Remote sensing aboveground biomass and carbon in boreal forests:
We estimate aboveground forest biomass by fusion of a variety of remote sensing data sets to provide accurate measurements of aboveground carbon in Canadian forests. The approach is a new addition to current existing methodologies for supporting Canada's reporting commitments on the sustainability of the forest resources in Canada.
- Polarimetric SAR (synthetic aperture radar) data processing and applications:
We use polarimetric capability of the Convair-580 airborn SAR to simulate the Radarsat-2 spaceborn polarimetric SAR for improvement of forest applications, such as forest type discrimination, forest clearcut, and forest disturbance in boreal forested areas. By determining the effectiveness of C-band larimetric SAR data related to forestry measurement and forested terrain, the developed methods will help the operational use of Radarsat-2 data and transformation of the technology to forest practitioners and the remote sensing service industry.
- Advanced computing data grid for managing large volume of remote sensing data:
Our advanced computing data grid has the ability to manage, catalogue, store, and disseminate large volumes of remote sensing data, share computing
resources, and facilitate collaborative researches across government agencies, enterprise, and institution over broadband communications.
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