文献类型： 外文期刊

作者： Chu Zou; Shanshan Du; Xinjie Liu; Liangyun Liu

关键词： Solar-induced chlorophyll fluorescence; Multi-satellite harmonization; Spatial downscaling

期刊名称： Earth System Science Data

ISSN： 1866-3508

年卷期： 2026 年

页码：

收录情况： SCIE（2025版）

摘要： Solar-induced chlorophyll fluorescence (SIF) is a crucial proxy of photosynthetic processes in vegetation. In recent decades, advancements in remote sensing technology have facilitated long-term global SIF monitoring, significantly enhancing our understanding of vegetation dynamics on a global scale. Despite this progress, current SIF datasets face major challenges, including temporal inconsistencies among various satellite-derived products and a lack of long-term, high-resolution observations. In this study, we developed a “Long-term Harmonized SIF” (LHSIF) dataset spanning 1995 to 2024 with a fine spatial resolution of 0.05° by coordinating SIF satellite observations from GOME, SCIAMACHY, GOME-2, and OCO-2. Light use efficiency (LUE)-based spatial downscaling models were employed for each SIF product to generate fine-resolution global SIF maps. The long-term dataset was constructed using temporally corrected GOME-2A SIF (TCSIF) as a benchmark and was combined with a cumulative distribution function (CDF) normalization method for far-red SIF harmonization across satellite sensors from GOME, SCIAMACHY, and OCO-2. The resulting harmonized dataset shows a 49% reduction in inter-sensor differences compared to the uncorrected data and exhibits a stable interannual increase of 0.31 ± 0.07% yr⁻¹. This result strongly aligns with the growth rate of gross primary production (GPP, 0.47 ± 0.03% yr-1) and is consistent with ground-based SIF observations (R > 0.60). Therefore, the long-term harmonized SIF dataset with a fine 0.05° resolution is valuable for estimating global photosynthesis over extended periods. The LHSIF dataset is available at https://doi.org/10.5281/zenodo.16394372 (Zou et al., 2025).

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