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Bulletin of Botanical Research ›› 2015, Vol. 35 ›› Issue (4): 618-622.doi: 10.7525/j.issn.1673-5102.2015.04.022

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Remote Sensing Evaluation and Analysis of Hippophae rhamnoide Plantation Biomass

WANG Hai-Bo;XIN Ying;ZHAO Yu-Sen*   

  1. College of Forestry,Northeast Forestry University,Harbin 150040
  • Online:2015-07-20 Published:2016-03-09
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Abstract: Weestimated Hippophae rhamnoide plantation biomass using satellite images of Landsat TM(2011)based on RS and GIS. In one-dimensional linear regression analysis models,the NDVI-based and RVI-based simple linear model were the optimal model for estimating biomasswith the coefficient correlation(R2) of 0.908 6 and 0.868 5, respectively. The multiple regression model established by four kinds of VI could be used for estimating forest biomass with the coefficient of determination(R2) of 0.909. Themultivariable linear regression models were better than one-dimensional linear regression analysis models, and the predicted biomass based on regression analysis models was higher than the theoretical biomass.

Key words: Hippophae rhamnoide, plantation biomass, vegetation index(VI), remote sensing, vegetation index

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