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Automated interpretation of protective forest plantings on high-resolution satellite images
Authors:K. N. Kulik  O. Yu. Kosheleva
Affiliation:1.All-Russian Agroforestry Amelioration Research Institute,Volgograd,Russia
Abstract:An important problem in forestry interpretation of satellite images is the identification of areas with a different species composition. Visual interpretation is presently supported by means of computer technologies. The article presents the results of determining the reliability of automated interpretation of pure protective forest plantings on high-resolution satellite images in ENVI software.
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