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《Journal of Northwest Forestry University》 2015-06
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Performances Comparison of Multiple Non-linear Models for Estimating Plantations' Biomass Based on RapidEye Imagery

WANG Jing-rui;SHEN Wen-juan;LI Wei-zheng;LI Ming-shi;ZHENG Guang;College of Forestry,Nanjing Forestry University;Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University;International Institute for Earth System Science Nanjing University;  
The major objective of the current study was to use RapidEye imagery in synergy with filed inventories to create and validate three empirical modeling algorithms(Support vector machines-SVM,BP networks and Random forests-RF)for mapping plantations' biomass at a local scale.The predicting variables involved diverse vegetation indices,spectral features,textures and topographic attributes.The results showed that for SVM-based model,the regression R2 was 0.687 and the corresponding validation R2 was0.641 with an average relative error of 0.306;for BP network-based model,the regression R2 was 0.552 and the validation R2 was 0.358 with an average relative error of 0.525;for RF-based model,the regression R2 was 0.850 while the validation R2 was 0.324 with an average relative error of 0.468.The optimal model,SVM-based model was finalized to retrieve biomass spatial patterns,which provide insights and implications for local forest management practices and planning.
【Fund】: 林业公益性行业专项(201304208);; 国家林业局“948”项目(2014-04-25);; 国家自然科学基金(31270587);; 江苏高校优势学科建设工程资助项目(PAPD);; 江苏省普通高校研究生科研创新计划项目(kylx15-0908)
【CateGory Index】: S718.556
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