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Proceedings Paper

GPP estimation over Heihe River Basin, China
Author(s): Xufeng Wang; Mingguo Ma; Xin Li; Xujun Han; Youhua Ran; Guanghui Huang; Yi Song; Junlei Tan
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Paper Abstract

Gross Primary Production (GPP) is the sum of carbon absorbed by plant canopy. It is a key measurement of carbon mass flux in carbon cycle studies. Remote sensing based light use efficiency model is a widely used method to estimate regional GPP. In this study, MODIS-PSN was used to estimate GPP in Heihe River Basin. In order to better the model accuracy, maximum light use efficiency (ε0) in MODIS-PSN is estimated using local observed carbon flux data and meteorological data. After adjustment of parameter ε0, MODIS-PSN can correctly estimate GPP for major vegetation type in the Heihe River Basin. Then, yearly GPP over Heihe River Basin was estimated. The results indicated that about 1.4*1013g carbon enter terrestrial ecosystem through vegetation photosynthesis in the Heihe River Basin one year. In contrast, there is just 5.73*1013g carbon enter terrestrial ecosystem according to the standard MODIS GPP product, which is greatly underestimated GPP in the Heihe River Bain.

Paper Details

Date Published: 7 October 2011
PDF: 8 pages
Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817422 (7 October 2011); doi: 10.1117/12.897507
Show Author Affiliations
Xufeng Wang, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Mingguo Ma, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Xin Li, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Xujun Han, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Youhua Ran, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Guanghui Huang, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Yi Song, Cold and Arid Regions Environmental and Engineering Research Institute (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Junlei Tan, Cold and Arid Regions Environmental and Engineering Research Institute (China)


Published in SPIE Proceedings Vol. 8174:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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