Biomass estimation and uncertainty analysis based on CBERS-02 CCD camera data and field measurement

被引:0
|
作者
Liangfu Chen
Yanhua Gao
Yu Cheng
Zheng Wei
Qing Xiao
Qinhuo Liu
Tao Yu
Qijing Liu
Xingfa Gu
Guoliang Tian
机构
[1] Chinese Academy of Sciences,State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications
[2] Jiangxi Normal University,Geography and Environment College
[3] Graduate University of Chinese Academy of Sciences,Institute of Geographic Sciences and Natural Resources Research
[4] Beijing Research Institute of Uranium Geology,undefined
[5] Chinese Academy of Sciences,undefined
来源
关键词
NDVI; biomass; scaling effect; scaling-up;
D O I
10.1007/BF03039429
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:116 / 128
页数:12
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