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A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022

文献类型：期刊论文

作者Tao, Shiyu5,6; Chen, Jing M.2,4; Zhang, Zhaoying3,5,6; Zhang, Yongguang3,5,6; Ju, Weimin3,5,6; Zhu, Tingting5,6; Wu, Linsheng5,6; Wu, Yunfei5,6; Kang, Xiaoyan1
刊名SCIENTIFIC DATA
出版日期2024-11-26
卷号11期号:1页码:18
DOI10.1038/s41597-024-04101-6
产权排序6
英文摘要Solar-induced chlorophyll fluorescence (SIF) serves as a valuable proxy for photosynthesis. The TROPOspheric Monitoring Instrument (TROPOMI) aboard the Copernicus Sentinel-5P mission offers nearly global coverage with a fine spectral resolution for reliable SIF retrieval. However, the present satellite-derived SIF datasets are accessible only at coarse spatial resolutions, constraining its applications at fine scales. Here, we utilized a weighted stacking algorithm to generate a high spatial resolution SIF dataset (500 m, 8-day) in China (HCSIF) from 2000 to 2022 from the TROPOMI with a spatial resolution at a nadir of 3.5 km by 5.6-7 km. Our algorithm demonstrated high accuracy on validation datasets (R2 = 0.87, RMSE = 0.057 mW/m2/nm/sr). The HCSIF dataset was evaluated against OCO-2 SIF, GOME-2 SIF tower-based measurements of SIF, and gross primary productivity (GPP) from flux towers. We expect this dataset can potentially advance the understanding of fine-scale terrestrial ecological processes, allowing for monitoring of ecosystem biodiversity and precise assessment of crop health, productivity, and stress levels in the long term.
WOS关键词CONVOLUTIONAL NEURAL-NETWORK ; PHOTOSYNTHESIS ; EVAPOTRANSPIRATION ; RETRIEVAL ; GOME-2 ; MAIZE ; INDEX ; WATER ; OCO-2 ; SIF
资助项目the Natural Science Foundation of Jiangsu Pro-vince (BK20240068), the National Key Research and Development Program of China (2022YFF1301900) and the National Natural Science Foundation of China (42125105, 42071388, 42101320).[BK20240068] ; Natural Science Foundation of Jiangsu Pro-vince[2022YFF1301900] ; National Key Research and Development Program of China[42125105] ; National Key Research and Development Program of China[42071388] ; National Key Research and Development Program of China[42101320] ; National Natural Science Foundation of China[nmqxkjcx202422] ; Inner Mongolia Meteorological Bureau Science and Technology Innovation Project
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:001364183100001
出版者NATURE PORTFOLIO
资助机构the Natural Science Foundation of Jiangsu Pro-vince (BK20240068), the National Key Research and Development Program of China (2022YFF1301900) and the National Natural Science Foundation of China (42125105, 42071388, 42101320). ; Natural Science Foundation of Jiangsu Pro-vince ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; Inner Mongolia Meteorological Bureau Science and Technology Innovation Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/211399]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Chen, Jing M.; Zhang, Zhaoying
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Fujian Normal Univ, Sch Geog Sci, Fuzhou, Peoples R China
3.Nanjing Univ, Int Joint Carbon Neutral Lab, Nanjing 210023, Jiangsu, Peoples R China
4.Univ Toronto, Dept Geog & Planning, Toronto, ON, Canada
5.Nanjing Univ, Sch Geog & Ocean Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Key Lab Land Satellite Remote Sensing Applicat Min, Nanjing 210023, Jiangsu, Peoples R China
6.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Tao, Shiyu,Chen, Jing M.,Zhang, Zhaoying,et al. A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022[J]. SCIENTIFIC DATA,2024,11(1):18.
APA Tao, Shiyu.,Chen, Jing M..,Zhang, Zhaoying.,Zhang, Yongguang.,Ju, Weimin.,...&Kang, Xiaoyan.(2024).A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022.SCIENTIFIC DATA,11(1),18.
MLA Tao, Shiyu,et al."A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022".SCIENTIFIC DATA 11.1(2024):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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