Combining Polarimetric and Coherence SAR Images for Forest Type Discrimination
Conference: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
04/23/2012 - 04/26/2012 at Nuremberg, Germany
Proceedings: EUSAR 2012
Pages: 4Language: englishTyp: PDF
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Authors:
Weydahl, Dan Johan (Norwegian Defence Research Establishment (FFI), Land and Airsystems Division, PO Box 25, 2027 Kjeller, Norway)
Eldhuset, Knut (Norwegian Defence Research Establishment (FFI), Norway)
Solberg, Svein (Norwegian Forest and Landscape Institute, Norway)
Olsen, Ole Morten (Kongsberg Spacetec AS, Norway)
Abstract:
We have investigated the ability to use several satellite SAR sensors in order to map forest types in the Arctic region. Radarsat-2 full polarimetric data can be decomposed and used to discriminate between forest and nonforest areas, while COSMO-SkyMed 1-day interferometric coherence data are used to extract forest types of various densities.