TY  - JOUR
AU  - Tao, Shiyu
AU  - Chen, Jing M.
AU  - Zhang, Zhaoying
AU  - Zhang, Yongguang
AU  - Ju, Weimin
AU  - Zhu, Tingting
AU  - Wu, Linsheng
AU  - Wu, Yunfei
AU  - Kang, Xiaoyan
PY  - 2024
DA  - 2024/11/26
TI  - A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022
JO  - Scientific Data
SP  - 1286
VL  - 11
IS  - 1
AB  - 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.
SN  - 2052-4463
UR  - https://doi.org/10.1038/s41597-024-04101-6
DO  - 10.1038/s41597-024-04101-6
ID  - Tao2024
ER  -