中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China

文献类型:期刊论文

作者Wu, Mingquan1; Muhammad, Shakir1; Chen, Fang1; Niu, Zheng1; Wang, Changyao1
刊名ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS
出版日期2015
卷号17期号:4页码:300-318
通讯作者Wu, MQ (reprint author), Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China.
英文摘要Wetland ecosystems are very important for ecological diversity and have a strong ability to sequester carbon. Through comparisons with field measured eddy covariance data, we evaluated the relationships between the light use efficiency (LUE) index and the enhanced vegetation index (EVI), normalized difference vegetation index (NDVI), and land surface temperature (LST). Consequently, we have proposed a new model for the estimation of gross primary production (GPP) for wetland ecosystems using Moderate Resolution Imaging Spectroradiometer (MODIS) products, including these vegetation indices, LST and the fraction of photosynthetically active radiation (FAPAR) absorbed by the active vegetation. This model was developed and validated for a study site on Chongming Island, Shanghai, China. Our results show that photosynthetically active radiation (PAR) was highly correlated with the LST, with a coefficient of determination (R-2) of 0.59 (p < 0.001). Vegetation indices, such as EVI, NDVI and LST, were highly correlated with LUE. We found that the product of vegetation indices (VIs) and a modified form of LST (T-e) can be used to estimate LUE, with an R-2 of 0.82 (P < 0.0001) and an RMSE of 0.054 kg C per mol PAR. This new model can provide reliable estimates of GPP (R-2 of 0.87 and RMSE of 0.009 kg C m(-2) 8 d(-1) (P < 0.0001)).
研究领域[WOS]Chemistry, Analytical ; Environmental Sciences
收录类别SCI
语种英语
WOS记录号WOS:000352722100004
源URL[http://ir.ceode.ac.cn/handle/183411/38319]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Wu, Mingquan
2.Muhammad, Shakir
3.Niu, Zheng
4.Wang, Changyao] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
5.[Chen, Fang] Chinese Acad Sci, Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wu, Mingquan,Muhammad, Shakir,Chen, Fang,et al. Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China[J]. ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS,2015,17(4):300-318.
APA Wu, Mingquan,Muhammad, Shakir,Chen, Fang,Niu, Zheng,&Wang, Changyao.(2015).Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China.ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS,17(4),300-318.
MLA Wu, Mingquan,et al."Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China".ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS 17.4(2015):300-318.

入库方式: OAI收割

来源:遥感与数字地球研究所

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