Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and GOME-2 for GPP Estimates of the Heihe River Basin, China
Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and GOME-2 for GPP Estimates of the Heihe River Basin, China
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利用 OCO-2 和 GOME-2 获得的太阳诱导叶绿素荧光来估算中国黑河流域的 GPP
DOI：
10.3390/rs10122039
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发表时间：
2018-12
期刊：
影响因子：
5
通讯作者：
Wan Wei
中科院分区：
文献类型：
--
作者：
Wei Xiaoxu;Wang Xufeng;Wei Wei;Wan Wei
太阳诱导叶绿素荧光（SIF）为从空间监测植被光合作用提供了一种新的方法，已广泛应用于估算植物总初级生产力（GPP）。然而，轨道碳观测站2号（OCO-2 SIF）和全球臭氧监测实验2号（GOME-2）获得的SIF估算黑河流域寒冷干旱地区GPP的能力尚不清楚，因为之前的比较不足。本文以玉米和高寒草甸为研究对象，对OCO-2和GOME-2计算的SIF在GPP估计中的性能进行了评价。本研究结果表明，日SIF757与日塔GPP的相关性强于日SIF771，日SIF757与日塔GPP的相关性强于16 d平均SIF740与16 d平均塔GPP的相关性。16 d平均吸收光合有效辐射（APAR）和重建太阳诱导荧光（RSIF）与16 d平均塔GPP的线性相关性最强。GPP_VPM和GPP_RSIF在GPP估计中表现最好，其次是GPP_SIF757，其次是GPP_SIF771和GPP_SIF740。我们还发现，OCO-2 SIF与GOME-2 SIF的相关系数的稳健性高度依赖于它们的空间足迹重叠的大小，这表明OCO-2和GOME-2足迹之间的空间差异导致了OCO-2和GOME-2之间GPP估计的差异。此外，观测天顶角（VZA）、云污染、尺度效应和环境标量（t标量x w标量）的差异也会导致OCO-2 SIF与GOME-2 SIF的差异。
Sun-induced chlorophyll fluorescence (SIF) provides a new method for monitoring vegetation photosynthesis from space and has been widely used to estimate gross primary productivity (GPP). However, the ability of SIF obtained from the Orbital Carbon Observatory 2 (OCO-2 SIF) and Global Ozone Monitoring Experiment-2 (GOME-2) to estimate GPP in the cold and arid region of Heihe River Basin remains unclear because previous comparisons were insufficient. Here, we choose maize and alpine meadow to evaluate the performance of SIF obtained by OCO-2 and GOME-2 in GPP estimations. The results of this study show that daily SIF757 had stronger correlations with daily tower GPP than daily SIF771, and the correlation between daily SIF757 and daily tower GPP was stronger than the correlation between 16-d averaged SIF740 and 16-d averaged tower GPP. The 16-d averaged absorbed photosynthetically active radiation (APAR) and reconstructed sun-induced fluorescence (RSIF) had the strongest linear correlations with 16-d averaged tower GPP. GPP_VPM and GPP_RSIF exhibited the best performance in GPP estimation, closely followed by GPP_SIF757, then GPP_SIF771 and GPP_SIF740. We also found that the robustness of the correlation coefficients of OCO-2 SIF with GOME-2 SIF was highly dependent on the size of their spatial footprint overlaps, indicating that the spatial differences between OCO-2 and GOME-2 footprints contribute to the differences in GPP estimates between OCO-2 and GOME-2. In addition, the differences of viewing zenith angle (VZA), cloud contamination, scale effects, and environmental scalars (T-scalar x W-scalar) can result in differences between OCO-2 SIF and GOME-2 SIF.
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影响因子：
5.2
作者：
Gentine P;Alemohammad SH
通讯作者：
Alemohammad SH
OCO-2 观测到的叶绿素荧光与温带森林通量塔估计的总初级生产力密切相关
影响因子：
13.5
作者：
Li Xing;Xiao Jingfeng;He Binbin
通讯作者：
He Binbin
影响因子：
4.9
作者：
Tramontana, Gianluca;Jung, Martin;Papale, Dario
通讯作者：
Papale, Dario
影响因子：
5.2
作者：
Liming He;Jing M. Chen;Jane Liu;G. Mo;J. Joiner
通讯作者：
Liming He;Jing M. Chen;Jane Liu;G. Mo;J. Joiner
影响因子：
5.2
作者：
W. Smith;J. Biederman;R. Scott;David J. P. Moore;M. He;J. Kimball;Dong Yan;A. Hudson;M. Barnes;N. MacBean;A. Fox;M. Litvak
通讯作者：
W. Smith;J. Biederman;R. Scott;David J. P. Moore;M. He;J. Kimball;Dong Yan;A. Hudson;M. Barnes;N. MacBean;A. Fox;M. Litvak