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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/23576

Title: Land Covering Classifications of Boreas Modeling Grid Using AIRSAR Images
Authors: Saatchi, Sasan S.
Rignot, Eric
Issue Date: 1996
Abstract: Mapping forest types in the boreal ecosystem in an integrated part of any modeling excercise of biogeophysical processes characterizing the interaction of forest with the atmosphere. In this paper, we report the results of the land cover classification of the SAR data acquired during the BOREAS (BOReal Ecosystem Atmospheric Study) intensive field campaigns over the modeling sub-grid of the southern study area in Saskatchewan , Canada. A Bayesian-maximum-a-posteriori classifier has been applied on the NASA/JPL AIRSAR images covering the region during the peak of the growing season in July, 1994.
URI: http://hdl.handle.net/2014/23576
Appears in Collections:JPL TRS 1992+

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