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Received:August 02, 2017Revised:September 11, 2017
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The Study on the Remote Sensing Model of Dongguan Conifer Forest Biomass
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Abstract:
Based on Landsat 8 image data, this paper estimates the biomass of three coniferous forest in Dongguan, including Pinus forest, Cunninghamia lanceolata and coniferous mixed forest . By using correlation analysis, principal component analysis and stepwise regression, a remote sensing estimation model of coniferous forest biomass was established, and its determining coefficient (R2) value were 0.880 9, 0.832 5 and 0.964 0 respectively, which reached a significant level. The applicability test showed that the model reached 0.05 significant levels and could be used for estimating the biomass of coniferous forest in Dongguan.
Key words:  remote sensing; coniferous forest; forest biomass; regression analysis

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