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Abstract
A team of Russian forestry scientists examines the applicability of NOAA/AVHRR satellite imagery in further development of methods for mapping forested areas. Summertime images processed in IDRISI for an area bounded by 48° and 71°N and 86° and 98°E were analyzed. The accuracy of automated supervised classification maps (maximum likelihood method) was tested by comparison with conventional maps at a wide variety of scales. Special emphasis is placed on examining prospects for expanded use of NOAA/AVHRR imagery in solving problems related to global climate change: displacement of vegetation zones, change in forest productivity, and phenology of forest vegetation development.