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《Journal of Anhui Agricultural Sciences》 2007-34
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Study on the Forest Canopy Density Estimation Based on CBERS Data

CAI Xue-cheng et al (College of Forestry,Guizhou University,Guiyang,Guizhou 550025)  
The distribution of forest resources had characteristics such as extensity,complexity and poor accessibility,but remote sensing techniques had advantages of macroscopic,dynamic,convenience,periodicity and low cost etc and had become the ideal measure to study the forest resources status.At present,in the application of forest remote sensing,the supplying ability of multi-sources remote sensing data was stronger and stronger.But the treatment technique of remote sensing information was relatively backward due to the integration and complexity of remote sensing information.The forest classification technique with remote sensing based on different areas,seasonal aspects and background characteristics was far away from maturity.The gray value of sample land was obtained through image processing(including correction,enhancement and classification of image,etc) by using remote sensing data from CBERS.The mathematical model of forest canopy density was established through linear regression based on combining obtained gray value of sample land with a few sample land data from ground measurement.And the mathematical model was checked to insure the estimation accuracy so as to provide basis for forestry production and construction.
【Fund】: 贵州省科技攻关项目(黔科合GY字(2005)3008)
【CateGory Index】: S771.8
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