Forest and Grassland Resources Research >
Estimation of Aboveground Biomass of Arbor Forest Based on Landsat 8 Image
Received date: 2018-10-10
Revised date: 2018-12-17
Online published: 2020-09-27
With the Landsat 8 image and 96 field survey data in Zhejiang Province as the data source,the vegetation indices,texture features,terrain factors were extracted and optimized,and the preferred variables were selected.The factors were grouped into two sets of independent variables:vegetation indices,vegetation indices+ texture features.The least squares regression method was used to construct the aboveground biomass estimation model of arbor forest,and the estimation results were compared and analyzed.The results show that in the constructed models,the model accuracy of vegetation indices + texture features set is better than the model constructed by the vegetation indices set.The result indicates that the texture features of the multispectral bands have the effect of improving the model estimation accuracy.In addition,the variable screening method adopted in this paper takes into account the correlation between variables and the collinearity problem,which can improve the stability of the constructed model.
Key words: arbor forest; biomass model; vegetation index; texture feature; Landsat 8 image
Yi REN , Haibin WANG , Dengping XU . Estimation of Aboveground Biomass of Arbor Forest Based on Landsat 8 Image[J]. Forest and Grassland Resources Research, 2018 , 0(6) : 38 -44 . DOI: 10.13466/j.cnki.lyzygl.2018.06.007
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