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Advances in the Estimation of Above-ground Biomass of Forest Using Remote Sensing

doi:10.6046/gtzyyg.2011.01.01

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Abstract

Above-ground biomass of forest has great research and application value in the forest ecological system. There are mainly three types of models for estimating above-ground biomass of forest, i.e., forest measuring method, remote sensing method and integrated method. Remote sensing technique has become an important means for obtaining above-ground biomass of forest at the regional scale. There are mainly four types of remote sensing models, namely empirical, ANN, physical and NPP based models. This paper has analyzed and discussed the present methods for estimating above-ground biomass of forest based on remote sensing as well as their advantages and disadvantages. Finally, this paper points out that the integrated method combining remote sensing technique and forest succession model can be generally used to estimate above-ground biomass of forest at the regional scale in future.

Keywords SAR TM Spatial profile

TP 79

Issue Date: 22 March 2011

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LOU Xue-Ting, CENG Yuan, TUN Bing-Fang.
Advances in the Estimation of Above-ground Biomass of Forest Using Remote Sensing[J]. REMOTE SENSING FOR LAND & RESOURCES,2011, 23(1): 1-8.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.01.01 OR https://www.gtzyyg.com/EN/Y2011/V23/I1/1

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