From Canopy-Leaving to Total Canopy Far-Red Fluorescence Emission for Remote Sensing of Photosynthesis: First Results From TROPOMI

被引：77
作者：
Zhang, Zhaoying [1 ,2 ,3 ]
Chen, Jing M. [1 ,4 ]
Guanter, Luis [5 ]
He, Liming [6 ]
Zhang, Yongguang [1 ,2 ,3 ]
机构：
[1] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Technol, Nanjing, Jiangsu, Peoples R China
[3] Collaborat Innovat Ctr Novel Software Technol & I, Nanjing, Jiangsu, Peoples R China
[4] Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada
[5] Univ Politecn Valencia, Ctr Tecnol Fis, Valencia, Spain
[6] Lab Environm Model & Data Optima, Laurel, MD USA
来源：
GEOPHYSICAL RESEARCH LETTERS | 2019年 / 46卷 / 21期
关键词：
Gross primary production; Solar-induced chlorophyll fluorescence; TROPOMI; Spectral invariant theory; Remote sensing; INDUCED CHLOROPHYLL FLUORESCENCE; GROSS PRIMARY PRODUCTION; NET ECOSYSTEM EXCHANGE; CARBON-DIOXIDE; MODEL; VEGETATION; SCATTERING; RETRIEVAL; ASSIMILATION; DYNAMICS;
D O I：
10.1029/2019GL084832
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Solar-induced chlorophyll fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI), which has substantially improved spatial and temporal resolutions, will improve the global estimations of gross primary production (GPP) than previous satellite SIF data. However, the canopy-leaving SIF observed by sensors (SIFobs) represents only a portion of the total canopy SIF emission (SIFtotal). This portion is sensitive to the canopy structure and observation direction, resulting in uncertainties in GPP estimations using SIFobs. Here we used the spectral invariant theory to derive global soil-resistant SIFtotal (SIFtotal-SR) from TROPOMI SIFobs and evaluated the SIFtotal-SR performance in estimating GPP. We found that the clear differences in SIFobs between needleleaf forest and crops diminished for SIFtotal-SR. SIFtotal-SR increased the coefficient of determination (R-2) by 0.09 and 0.11 against the flux tower instantaneous and daily GPP, respectively. This derived SIFtotal-SR can be used to develop more robust GPP models and better constrain carbon cycle models.
引用
收藏
页码：12030 / 12040
页数：11
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