OEMC project use case: Global EO data to support monitoring livestock and grasslands / pastures
Creators: name: OpenGeoHub Foundation
Publisher: name: GEO Knowledge Hub
Year: 2025
Subjects: Livestock
Livestock management
Monitoring
Grasslands
Pasture monitoring
Earth Observation
EO
Sustainability

description: This use case has two stakeholders, LAPIG and WRI, which are part of Global Pasture Watch (GPW), a Land & Carbon Lab initiative, together with OpenGeoHub and IIASA. LAPIG is involved in multiple mapping initiatives in global tropics and they are interested in downscaling Landsat-based maps to 10-m using Sentinel-2 data. WRI is interested in a dashboard to provide the means to integrate on-the-fly the GPW maps (pasture-class, livestock density, short vegetation height and gross primary gross productivity-GPP) through spatial and pixel threshold filtering, allowing the implementation of IPCC land degradation criteria for multiple users. The use case will support the production, calibration and visualization of recurrent 30-m mapping products for grasslands/pasture areas and livestock from 2000 onward within the context of GPW, aiming to contribute for a better understanding of land use conversion, food production, climate change and land productivity at global scale. All produced EO data and training samples will be open data allowing further refinements for the mapping products at national and local scales by user communities. This use case specifically demonstrates how analysis-ready products can be generated and distributed using open source software solutions and cloud-optimized formats for large data.
Stakeholder needs: 

WRI requires functionality to access a dashboard for performing customized analyses on the Global Pasture Watch (GPW) maps within the scope of Land & Carbon Lab, aiming to contribute for a better understanding of grasslands, pastures and browse lands at global scale using Google Earth Engine or alternative solution,
LAPIG requires functionality to access analysis-ready Earth Observation data (10–30m) for supporting their pasture maps for Brazil, using additional processing solutions based on open data protocols and open source libraries in their local analytical environment. 
Planned implementation:
In this use case, the OEMC project is working together with WRI and LAPIG for boosting the accessibility, usability and integration among GPW maps, which includes:

Developing pipelines for publishing global mosaics as Cloud-Optimized GeoTIFF into SpatioTemporal Asset Catalog (STAC) and Google Earth Engine,
Providing libraries and computational notebooks for seamless accessing EO data ( including harmonized Landsat and Sentinel-2) and global mosaics into the local analytical environment,
Implementing a dashboard to integrate on-the-fly EO data and global mosaics considering dynamic integration rules and exportation functionalities.
Recorded talks (ordered chronologically):

Monitoring livestock and agricultural systems - A data harmonization based approach by Leandro Parente (OGH), Open-Earth-Monitor — Global Workshop 2024
High resolution spatial information on livestock density and grassland management by Ziga Malek (IIASA) - Open-Earth-Monitor — Global Workshop 2024
Lindsey Sloat: Global Land use and Land Cover monitoring From Data to Impact by Lindsey Sloat (WRI) - Open-Earth-Monitor — Global Workshop 2023