Temporally corrected long-term satellite solar-induced chlorophyll fluorescence (SIF) dataset (1995-2018)

This dataset provides global monthly satellite solar-induced chlorophyll fluorescence (SIF) data during July 1995 to December 2018 with a spatial resolution of 0.05 degree. This dataset was generated based on the temporal correction, spatially downscaling and multi-sensor fusion procedures. Compared with the results from ground flux sites, the long-term trend of this SIF product has a much better performance than current widely-used SIF datasets. This dataset could be beneficial for the estimation of global terrestrial carbon fluxes and for the projection of future climates.
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Using this dataset requires the citation of this paper (https://doi.org/10.1016/j.isprsjprs.2022.10.018). <strong>If you plan to use our data in a manuscript, you must inform us of your analysis and publication plans well in advance of submission of a paper, give us an opportunity to read and intellectually contribute to the manuscript, and, if appropriate, offer co-authorship.</strong> 
Contact: Songhan Wang ([e-mail]) and Yongguang Zhang ([e-mail]) 
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Data format: netcdf. (Every .zip file contains the monthly SIF of a year)
Spatial extent: 90S-90N 180W-180E
Fill value: -9999
Scale factor: 0.001
Unit: mW m-2 nm-1 sr-1
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本数据集提供1995年7月至2018年12月期间的全球逐月卫星遥感日光诱导叶绿素荧光（solar-induced chlorophyll fluorescence，SIF）数据，空间分辨率为0.05度。本数据集通过时间校正、空间降尺度以及多传感器融合流程生成。与地面通量站的观测结果相比，本SIF产品的长期趋势表现优于当前广泛使用的SIF数据集。本数据集可用于全球陆地碳通量估算以及未来气候预测研究。<br>使用本数据集需引用以下论文（https://doi.org/10.1016/j.isprsjprs.2022.10.018）。**若您计划在稿件中使用本数据集，请在论文投稿前提前告知我们您的研究分析与出版计划，以便我们有机会审阅稿件并在学术层面提供贡献，若合适，可邀请我们共同署名。**<br>联系人：王松寒（[e-mail]）与张永光（[e-mail]）<br>  <br>数据格式：netCDF。（每个.zip压缩包包含对应年份的逐月SIF数据）<br>空间范围：南纬90°~北纬90°，西经180°~东经180°<br>填充值：-9999<br>缩放因子：0.001<br>单位：mW·m⁻²·nm⁻¹·sr⁻¹<br>