Assessing the potential of Satellite Earth Observation datasets to deliver near real-time monitoring and prediction to address Sustainable Development Goals
1: No Poverty, 2: Zero Hunger and 13: Climate Action.
Droughts are a major threat in sub-Saharan Africa (SSA) causing substantial losses of life, assets and livelihoods, and weakened national economic performance. Hazard early warning and disaster risk preparedness actions can be effective in reducing these losses (as much as 20times more effective than post-disaster relief).
This project will apply advanced data analysis techniques used in astronomy to facilitate improved early warning models
Exploring novel methods for forecasting Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI) in pastoral livelihood zones in Kenya.
Prof. Seb Oliver
Astronomy Centre, Department of Physics and Astronomy, University of Sussex, Brighton
Dr. Pedram Rowhani
School of Global Studies, Department of Geography, University of Sussex, Brighton