Global Pasture Watch

This repository provides the source code used to produce the follow Global Pasture Watch products (2000–2022+):

• GGC-30m: Global grassland class and extent maps at 30m (Publication: https://doi.org/10.1038/s41597-024-04139-6)
• GLD-1km: Global livestock distributions maps at 1km (Preprint: https://doi.org/10.21203/rs.3.rs-6201916/v1)
• GSVH-30m: Global short vegetation height maps at 30m (Preprint: https://doi.org/10.21203/rs.3.rs-6521333/v1)
• GGPP-30m: Global gross primary productivity maps at 30m (Publication: https://doi.org/10.7717/peerj.19774)

Zenodo:

The output maps, reference samples, ML models and additional datasets are publicly available in Zenodo:

• Global grassland class and extent maps at 30m
  • Annual grassland class and extent maps at 30-m spatial resolution (2000—2022)
  • Grassland reference samples based on visual interpretation of VHR imagery (2000–2022)
  • Global machine learning model for prediction of cultivated and natural/semi-natural grassland
  • Grassland sampling design derived by Feature Space Coverage Sampling (FSCV) at 1-km spatial resolution
  • Integrated Approach to Global Land Use and Land Cover Reference Data Harmonization
• Global livestock distributions maps at 1km
  • Annual livestock headcount maps for cattle, goats, sheep and horses at 1-km 2000–2022 (FAOSTAT-adjusted)
  • Annual cattle density maps at 1-km for 2000–2022 including prediction interval
  • Annual goat density maps at 1-km for 2000–2022 including prediction interval
  • Annual sheep density maps at 1-km for 2000–2022 including prediction interval
  • Annual horse density maps at 1-km for 2000–2022 including prediction interval
  • Livestock reference samples based on multi-source sub-national census data (2000—2022)
  • Annual maps of potential land for livestock production at 1-km for 2000–2022
• Global short vegetation maps at 30-m
  • Annual short vegetation height maps at 30-m spatial resolution for 2000–2022 including prediction interval and trend analysis
• Global global gross primary productivity maps maps at 30-m
  • Global Uncalibrated EO-based GPP and Grassland GPP Maps at 30m
  • Global EC Flux Tower Bimonthly GPP Time Series from FluxNet2015, ICOS, AmeriFlux, OzFlux, and ChinaFlux for Product Validation

STAC, Google Earth Engine & WebGIS apps

The output maps are also publicly available in Google Earth Engine and STAC:

• Land & Carbon Lab Global Pasture Watch
• WRI Data Explorer
• OpenLandMap STAC
• GEE Apps (GPW gallery):
  • Height Comparison Toolkit (GPW-HCT)
  • Global Grassland Map Customization
  • Global Grassland Comparison tool
  • Global Grassland Gross Primary Productivity
• OpenLandMap
• EcoDataCube

Related softwares / libraries

The softwares and libraries produced / maintained in the context of the initiative are publicly available:

• QGIS Fast Grid Inspection
• Scikit-Map
• Geo-Wiki
• LUCKINet

Webinars:

The webinars publicly available:

• Global Pasture Watch: Mapping & Monitoring Global Grasslands and Livestock
• Grassland Mapping & Monitoring: A Focus on Latin America
• Global 30-m resolution ensemble digital terrain model and vegetation height datasets 2000–2022 based on ICESat-2, GEDI and spatiotemporal ML
• Machine Learning methods for census data: lessons learned from mapping global livestock dynamics at 1 km resolution 2000–2022

Acknowledgements & Funding

This work is conducted by WRI, OpenGeoHub Foundation, LAPIG/UFG, IIASA and iDiv and has received funding from Land and Carbon Lab, via the Global Pasture Watch, and European Union’s Horizon Europe research and innovation program, via the Open-Earth-Monitor Cyberinfrastructure project, under grant agreement No. 101059548