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《Journal of Beijing Forestry University》 2003-S1
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Practical analysis and evaluation of multi information resource on secondary level survey of forest resource.

Zhao Guangliang;You Xiaobin; Yao Yonggang. Badaling Forest Center, Beijing 102112,P.R.China.  
Because of various intensive managements, different landscapes, various forest form fragmentations, different map scales, investigation requirements, it needs to select remote sensing images of various spatial resolutions and classification capacity. In order to study this, we select Badaling forest center which has high intensive management as the object, apply middle and high resolution remote sensing image to survey and map, study the utility of above mentioned aspects.
【CateGory Index】: S757.2
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Wang Renhua; Huo Hongtao; You Xianxiang. School of Resources and Environment,Beijing For. Univ., 100083, P. R. China.;Forest vegetation classification of TM images using artificial neural network[J];Journal of Beijing Forestry University;2003-04
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