Open-Earth-Monitor Global Workshop 2026

As FAIR principles become increasingly central to open science and research data stewardship, a persistent gap remains between their broad endorsement and their consistent practical validation in real-world repositories. This challenge is particularly visible for geospatial datasets, where domain-specific requirements such as spatial formats, metadata richness, and interoperability standards are not always captured by general FAIR assessment approaches. In this work, a structured FAIR assessment was applied to datasets produced within the Open-Earth-Monitor Cyberinfrastructure (OEMC) project. To support the evaluation, we developed a FAIR assessment tool tailored to geospatial data entries published on Zenodo, while designing the underlying framework to remain flexible and transferable to other repository environments. The assessment identifies both strengths and recurring gaps in current data publication practices and provides actionable recommendations for improving the long-term usability, transparency, and scientific value of geospatial datasets.

We present an updated generation of the Global Pasture Watch (GPW) gross primary productivity (GPP) products for grassland ecosystems at 30 m spatial resolution. This new release builds on the original Landsat-based light use efficiency framework by integrating improved MODIS land surface temperature (MOD21) and updated photosynthetically active radiation inputs, while also introducing an experimental Sentinel-2-based GPP product. The combined use of Landsat and Sentinel-2 observations strengthens the capacity to monitor grassland productivity dynamics with improved spatial detail and temporal consistency across local to global scales. Beyond long-term ecosystem assessment and grassland monitoring, the updated GPW GPP products are also intended to support near-real-time (NRT) grassland biomass estimation within the Time2Graze project.