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CHEN Shu-rong, ZHANG Chao, ZHENG Chao-chao, ZHANG Wei, YI Li-ta, YU Shu-quan. Estimation Methods for Biomass of Ecological Forest in Jinyun[J]. Journal of Zhejiang Forestry Science and Technology, 2015, 35(5): 20-28.
Citation: CHEN Shu-rong, ZHANG Chao, ZHENG Chao-chao, ZHANG Wei, YI Li-ta, YU Shu-quan. Estimation Methods for Biomass of Ecological Forest in Jinyun[J]. Journal of Zhejiang Forestry Science and Technology, 2015, 35(5): 20-28.
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Estimation Methods for Biomass of Ecological Forest in Jinyun

  • 1.

    School of Forestry and Biotechnology, Zhejiang A & F University, Linan 311300, China

  • 2.

    The Nurturing Station for the State Key Laboratory of Subtropical Siliviculture, Linan 311300, China

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  • Biomass of ecological forest in Jinyun county, Zhejiang province was estimated by multiple linear regression (MLR), partial least squares(PLS) regression, random forest regression and BP neutral network model based on Gaussian error function (Erf-BP), according to data from TM imagery and 117 permanent subcompartments forest management survey in 2010. There were 80 independent variables of geoscience and remote sensing. Results showed that random forest regression had better effect on R2, PRECISION and RMSE, while Erf-BP neural network on VR and BIAS. Comprehensive evaluation on precision and root mean square error indicated that random forest method was a better choice
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    • References (7)
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