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Biomass estimation and uncertainty analysis based on CBERS-02 CCD camera data and field measurement
Authors:Chen Liangfu  Gao Yanhua  Cheng Yu  Wei Zheng  Xiao Qing  Liu Qinhuo  Yu Tao  Liu Qijing  Gu Xingfa  Tian Guoliang
Affiliation:1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing,China;2.Geography and Environment College,Jiangxi Normal University,Nanchang,China;3.Graduate University of Chinese Academy of Sciences,Beijing,China;4.Beijing Research Institute of Uranium Geology,Beijing,China;5.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,China
Abstract:The study site is located in Qianyanzhou experimental station and the surrounding area. Based on CBERS-02 satellite data and field measurement, we not only discussed the relationship between NDVI and biomass of two species of coniferous plantations, namely,Pinus massoniana Lamb andPinus elliottii Engelm, but also introduced the biomass models based on NDVI. The comparison between measured biomass in Qianyanzhou and biomass derived from CBERS-02 CCD data showed that it is feasible to estimate biomass based on NDVI. But its limitations cannot be ignored. This kind of model depends on the dominant vegetation species. There are some effect factors in estimating biomass based on NDVI. This paper analyzes these factors based on fine-resolution CBERS-02 CCD data and some conclusions are drawn: In Qianyanzhou, the area with good vegetation coverage, the nonlinearity of NDVI has little influence on scaling-up of NDVI. As a result of surface heterogeneity, scaling-up can cause NDVI within each pixel to change. Because scaling-up can cause pixel attribute to change, the applicability of biomass model is one of the sources of error in estimating biomass.
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