Fusion of Radar and Hyperspectral Data for Forest Applications
- Paper number
IAC-08.B1.I.9
- Author
Dr. David G. Goodenough, Pacific Forestry Centre, Natural Resources Canada, Canada
- Coauthor
Mr. Hao Chen, Pacific Forestry Centre, Natural Resources Canada, Canada
- Coauthor
Mr. Andrew Dyk, Pacific Forestry Centre, Natural Resources Canada, Canada
- Coauthor
Mr. Geordie Hobart, Pacific Forestry Centre, Natural Resources Canada, Canada
- Coauthor
Ms. Piper Gordon, University of Victoria, Canada
- Coauthor
Mr. Matthew Loisel, University of Victoria, Canada
- Year
2008
- Abstract
Canada has 418 million hectares of forest land. Monitoring the diverse forests of Canada requires using a mix of optical and radar sensors. Hyperspectral sensing from space and aircraft platforms can provide information on forest species and forest chemistry. Spaceborne SAR systems such as Japan’s ALOS PALSAR and Canada’s Radarsat-2 can provide complimentary information on forest biomass and historical fire scars. These radars generate quad polarimetry with phase images. The polarization orientation can be altered by the ionosphere and topographic relief. We have implemented methods for correcting the polarimetric data for these effects. It is also essential for fusion of polarimetric radar data to be able to geometrically correct the data. The base reference is the UTM mapping system of Canada. The hyperspectral data are also radiometrically, atmospherically, and geometrically corrected. The hyperspectral and radar data are managed through a GRID-based system called SAFORAH (www.saforah.org). The fused data sets have channels with different statistical distributions. As a result, we use logistic classifiers and object-oriented classifiers on the fused data sets. In 2002, NASA acquired 4m AVIRIS data over the Greater Victoria Watershed District on Vancouver Island, BC. The AVIRIS data have been processed to resolutions from 4m to 28m. Subsequently, we acquired airborne hyperspectral data from AISA at 2 m resolution. We also have obtained EO-1 Hyperion hyperspectral imagery. We have conducted experiments with various combinations of these sensors fused together. In this paper we report on the analysis methodology, and the results obtained in mapping forest parameters.
- Abstract document
- Manuscript document
IAC-08.B1.I.9.pdf (🔒 authorized access only).
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