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. <br> 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]) <br> 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 <br>