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FOREST RESOURCES WANAGEMENT ›› 2008›› Issue (3): 100-104.doi: 10.13466/j.cnki.lyzygl.2008.03.014

• Science and Technology • Previous Articles     Next Articles

Application of Remote Sensing Model in Biomass Estimation of the Subalpine Coniferous Forest

LI Na, HUANG Congde   

  1. College of Forestry and Horticulture,Sichuan Agricultural University, Yaan 625014,Sichuan,China
  • Received:2007-12-12 Revised:2008-03-24 Online:2008-06-28 Published:2020-11-30

Abstract: Based on the data on forest biomass collected from 68sampling plots and single-band TM data, 18 variables were selected to build the estimation regression model to predict the biomass of the sub-alpine coniferous forest in western Sichuan province. In the establishment of the monadic linear regression, the non-linear regression and the multivariate linear regression model of forest biomass,the results showed that multiple linear regression model was more accurate.

Key words: biomass, remote sensing, correlation analysis, regression model

CLC Number: