EXPLORATION OF A DATA-DRIVEN APPROACH FOR INFORMING DROUGHT-EARLY WARNING SYSTEMS USING IN-SITU AND REMOTE SENSING DATA

Speaker: Hannah Kemper, World Food Programme, ItalyData-driven modelling represents an alternative approach complementing the traditional models driven by expert knowledge. It represents an opportunity for using computational methods for exploring data intense research fields such as remote sensing. For this study, a data-driven approach was selected to study drought impacts on staple crop yields in tropical dryland contexts in Botswana.