| Biomass estimation and uncertainty analysis based on CBERS-02 CCD camera data and field measurement |
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| 作者单位： | CHEN Liangfu1，2，GAO Yanhua1，3，CHENG Yu1，3，WEI Zheng1，3，XIAO Qing1，4，LIU Qinhuo1，YU Tao1，LIU Qijing5，GU Xingfa1 & TIAN Guoliang1 1. State Key Laboratory of Remote Sensing Science，Institute of Remote Sensing Applications，Chinese Academy of Sciences，Beijing 100101，China; 2. Geography and Environment College，Jiangxi Normal University，Nanchang 330027，China; 3. Graduate University of Chinese Academy of Sciences，Beijing 100039，China; 4. Beijing Research Institute of Uranium Geology，Beijing 100875，China; 5. Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China |
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| 摘 要： | The study on terrestrial ecosystem carbon cycle has been the focus of global change research and regional sustainable development research. It is well known that terrestrial ecosystem is the largest unknown area1] in seeking the missing carbon sink2]. Because it is allowed in the Kyoto Protocol that adding CO2 absorption by foresting and reforesting can offset greenhouse gases emission, the mechanism of carbon sequestration and thedistribution and mapping of carbon pool have been the focus …
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Biomass estimation and uncertainty analysis based on CBERS-02 CCD camera data and field measurement |
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| 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 and Pinus 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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| Keywords: | NDVI biomass scaling effect scaling-up |
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