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- W2363511244 abstract "Volume of forest resources monitoring is one of the important targets, and volume of remote sensing estimation has been one of the important contents of forestry remote sensing researches. By using Landsat-TM data as remote sensing information source, the differences among different bands and ratios combination information were extracted, the gray values and vegetation indexes of band images were also extracted, and the slope gradient and slope aspect data were extracted by using the DEM data. By taking the coniferous forest in Chifeng city in Inner Mongolia as the research object, the correlations of RS and GIS factors and volume were analyzed and the nonlinear estimation models between pixel volume and RS and GIS factors were established by using SPSS analysis tools. The experimental results show that the model accuracy reached 76.16%, R value was 0.726, the applicability F test was done, which was at 0.01 signifi cant level, the model accuracy met the requirements." @default.
- W2363511244 created "2016-06-24" @default.
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- W2363511244 date "2013-01-01" @default.
- W2363511244 modified "2023-09-26" @default.
- W2363511244 title "Research on coniferous forest volume estimation model for Wangyedian experimental forest farm" @default.
- W2363511244 hasPublicationYear "2013" @default.
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