Published January 22, 2022 | Version v1

A Reconstructed Global Daily Seamless TROPOMI SIF dataset at a 0.05-degree Resolution (SDSIF) using the ML approach

Authors/Creators

  • 1. Dalian Maritime University
  • 2. Aerospace Information Research Institute, Chinese Academy of Science

Description

To enhance the spatial and temporal resolutions and continuities of the TROPOMI SIF, a global daily seamless SIF product at 0.05-degree resolution (namely, SDSIF) from May 2018 to December 2020 was generated based on the ML approach using TROPOMI SIF, MODIS reflectance, and ERA5 reanalysis datasets. This dataset has been validated with the original TROPOMI SIF and the long-term tower-based SIF from five flux sites, which verified the reliability of SDSIF and the advantages over original TROPOMI SIF.

Files

SDSIF_4day_2018-2021.zip

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