Within the #GlobalPastureWatch (https://LandCarbonLab.org/data) project we are building global open data sets at 30-m resolution to help World Resources Institute produce most accurate and most up-to-date maps of pastures and grasslands including changes in canopy height and monthly GPP. The LandCarbonLab.org project specifically aims at deploying solutions for sustainable landscapes on the ground across boundaries.
Geospatial Data for Nature-Based Solutions | Land & Carbon Lab

WRI's Land & Carbon Lab uses geospatial data to help address the global land squeeze and accelerate nature-based solutions to climate change.

Land & Carbon Lab
We are processing global 1997-2022+ Landsat images to produce complete, consistent, current & correct (cloud-free) mosaics per continent & globally. Our interest is primarily in monthly / bimonthly values, then we plan to use these to quantify vegetation, map pasture types, crops / land cover, tillage intensity, dynamic soil properties and similar. Read more in: https://opengeohub.org/article/analysis-ready-and-cloud-optimized-arco-landsat-data-for-all/ #OpenEarthMonitor #AI4soilhealth #globalpasturewatch
Analysis-ready and cloud-optimized (ARCO) Landsat data for all - OpenGeoHub Foundation: Connect | Create | Share | Repeat

The NASA / USGS Landsat Program is the longest running initiative to provide space-based data for Earth’s land surface. Based on nine satellites, this program

OpenGeoHub Foundation: Connect | Create | Share | Repeat