Remote Sensing | |
Effects of the Temporal Aggregation and Meteorological Conditions on the Parameter Robustness of OCO-2 SIF-Based and LUE-Based GPP Models for Croplands | |
Jing Chen1  Baozhang Chen2  Huifang Zhang2  Yawen Kong2  Fei Wang2  Lifeng Guo2  Xiaofeng Lin2  | |
[1] Meteorological Information Center of Beijing, Beijing Meteorological Bureau, No. 44, Zizhuyuan Road, Haidian District, Beijing 100089, China;State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China; | |
关键词: light use efficiency; solar-induced chlorophyll fluorescence; eddy covariance; photosynthesis; gross primary productivity; | |
DOI : 10.3390/rs11111328 | |
来源: DOAJ |
【 摘 要 】
Global retrieval of solar-induced chlorophyll fluorescence (SIF) using remote sensing by means of satellites has been developed rapidly in recent years. Exploring how SIF could improve the characterization of photosynthesis and its role in the land surface carbon cycle has gradually become a very important and active area. However, compared with other gross primary production (GPP) models, the robustness of the parameterization of the SIF model under different circumstances has rarely been investigated. In this study, we examined and compared the effects of temporal aggregation and meteorological conditions on the stability of model parameters for the SIF model (
【 授权许可】
Unknown