Pastures and rangelands are the single most extensive land use on Earth and we need to understand the productivity of these areas and how they are changing over time to meet global climate goals. Yet these areas rarely have dedicated monitoring efforts and there is currently no good understanding of their location, area, and condition.

A new Land & Carbon Lab research consortium, Global Pasture Watch, aims to produce recurrent and high-resolution (30-meter) maps for pasture areas and productivity from 2000 onwards. The project uses ensemble machine learning algorithms, visual interpretations, crowdsourcing, and earth observation data fusion to produce per-pixel probabilities of land use and land cover, livestock density, short vegetation height, and gross primary productivity (GPP).

Join us on April 12 to learn more about how the resulting products will contribute to better understanding land use conversion, food production, land productivity, and impacts for biodiversity and climate change at a global scale.


  • Andy Jarvis, Director of Future Food, Bezos Earth Fund
  • Mario Herrero, Professor of Sustainable Food Systems and Global Change, Cornell University
  • Lindsey Sloat, WRI
  • Leandro Parente, OpenGeoHub
  • Laerte Ferreira, LAPIG, University of Goias
  • Crystal Davis, Director, Land & Carbon Lab, WRI (Moderator)