Global TROPOMI ANNSIF since 2018: Part 1

DOI: https://doi.org/10.5281/zenodo.16537343 Description: This dataset provides global sun-induced chlorophyll fluorescence (SIF) retrievals from Sentinel‑5P TROPOMI top-of-atmosphere radiance using an artificial neural network (ANN), covering 2018–2025. The product is updated regularly. This release is divided into nine parts (Part 1–Part 9). File format and naming: Each file is named using the format:ANNSIF-YYYY-MM-DD.nc, where YYYY is the year, MM is the month, and DD is the day. Application: This dataset is suitable for global-scale vegetation health assessment, photosynthesis modeling, and ecological analysis. It is particularly useful for estimating gross primary production (GPP), monitoring crop status, and evaluating ecosystem functioning. Citation: Please cite the following publication when using this dataset: Li, D., Chen, J.M., Duveiller, G., Frankenberg, C., Köhler, P., & Yu, K. (2025). A more precise retrieval of sun-induced chlorophyll fluorescence from satellite data using artificial neural networks. Remote Sensing of Environment For questions or feedback, please contact: Dong Li ([e-mail])