Get reliable rangeland science

Under the European Space Agency's Global Development Assistance (GDA) programme, GMV leads a pilot project in Paraguay with the World Bank and FECOPROD to enhance livestock farming using Earth Observation (EO) services. By integrating EO-derived data into FECOPROD's digital systems, the project optimizes grazing, monitors water availability, and prevents overgrazing, improving resource management and reducing environmental impact. Dry matter biomass is estimated using the Carnegie-Ames-Stanford Approach (CA SA) model, which leverages Sentinel and Landsat data, meteorological inputs, and environmental stress factors. These insights predict pastureland condition and yield, aligning feed production with seasonal cycles for efficient, cost-effective operations. The EO-based approach provides farmers with detailed land condition data, enabling informed decisions on breeding, health, and farm management. This scalable solution fosters sustainability in livestock farming, reducing environmental pressures while boosting productivity and resilience for Paraguay's agricultural sector and beyond.