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Detection of targets from electro-optical and SAR data using chaotic predictors and optimal CFAR detectors.

, , , , and . IGARSS, page 107-109. IEEE, (2002)

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Mapping forest biomass on several pilot regions in Canada with Landsat TM and forest inventory data., , , , , , , , and . IGARSS, page 886-888. IEEE, (2002)A strategy for mapping Canada's Forest biomass with Landsat TM imagery., , , , , , , and . IGARSS, page 1312-1315. IEEE, (2002)Approaches for forest biomass estimation and mapping in canada., , , , , , , , and . IGARSS, page 1988-1991. IEEE, (2010)Deriving forest canopy parameters for backscatter models using the AMAP architectural plant model., , , , , and . IEEE Trans. Geosci. Remote. Sens., 39 (3): 571-583 (2001)Detection of targets from electro-optical and SAR data using chaotic predictors and optimal CFAR detectors., , , , and . IGARSS, page 107-109. IEEE, (2002)Improved k-NN Mapping of Forest Attributes in Northern Canada Using Spaceborne L-Band SAR, Multispectral and LiDAR Data., , , , , , and . Remote. Sens., 14 (5): 1181 (2022)A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada., , , , , and . Remote. Sens., 10 (9): 1338 (2018)Relating forest biomass to SAR data., , , and . IEEE Trans. Geosci. Remote. Sens., 30 (2): 403-411 (1992)