Region: Worldwide
Description: This project aims to power a classic geography model Gravity with artificial intelligence, to model the food movements between places.
Despite advances in agricultural production, approximately 800 million people around the globe still face severe food insecurity. Biotic and abiotic agricultural stressors reduce and limit productivity (e.g., yield reduction) and ecosystem services (e.g., loss of carbon sequestration). These devastating impacts are increased by climate change, particularly by frequent and stronger extreme weather events.
EO4Cerealstress will evaluate the synergistic use of multi-source Earth Observation data, particularly hyperspectral data, in-situ crop physiological parameters, soil, climate, and other ancillary data- taking advantage of their complementarity - to understand the effects of multiple stressors and their cumulative effects on crops. New and planned European satellite missions are providing data at high spatial, spectral and temporal resolutions, which offer the opportunity not only to understand and monitor the impacts of single crop stressors but also multiple crop stressors. The project aims to develop products that can be used to monitor these stressors and provide a scientific roadmap for the future development of EO products and techniques for monitoring multiple crop stressors.
Partners: University of Southampton-UK, University of Natural Resources and Life Sciences (BOKU)-Austria, University of Seville-Spain, University of Guelph-Canada, EODC
Sponsor: European Space Agency
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