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FOREST RESOURCES WANAGEMENT ›› 2016, Vol. 0 ›› Issue (4): 83-87.doi: 10.13466/j.cnki.lyzygl.2016.04.016

• Scientific Research • Previous Articles     Next Articles

Remote Sensing Estimation of Eucalyptus Plantation Biomass in Huaan County Based on TM Images

XU Zhiyang1,2, FENG Zhongke2, HU Jianquan1, ZHENG Yaomin3, LIU Cheng1   

  1. 1. East China Forest Inventory and Planning Institute,State Forestry Administration,Hangzhou 310019,China;
    2. College of Forestry,Beijing Forestry University,Beijing 100083,China;
    3. Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China
  • Received:2016-01-08 Revised:2016-05-04 Online:2016-08-28 Published:2020-11-04

Abstract: By taking Huaan county's Eucalyptus Plantation Biomass as an object of study,using 20 fixed sample plots in 2008 and Landsat5 TM images of the same period and selected 20 variables,multivariate linear biomass remote sensing information model was established.Eight check samples were used to test the model,and the overall forecast accuracy was 83.58%,the mean square error was 1.42 t/hm2.Eucalyptus plantation biomass distribution map was inverted by using multivariate linear model,and eucalyptus plantation biomass of Huaan county was 404 765.316t in total,and 32.344t per hectare.

Key words: TM, biomass, Multiple Linear Regression Model, eucalyptus plantation

CLC Number: