Tools and Guidelines , Lessons learned
Remote sensing for index insurance - Findings and lessons learned for smallholder agriculture
Index insurance has a role to play in agricultural development and risk management, yet it faces operational and technical challenges to reach scale and sustainability. Data are a key challenge and were the focus of the project “Improving Agricultural Risk Management in Sub-Saharan Africa: Remote Sensing for Index Insurance”. Limited availability, accessibility, quantity and poor quality of data on the ground are some of the primary technical constraints preventing scale-up and sustainability of index insurance. Without sufficient quality data, either it is impossible to design products for some areas and countries, or products that are designed can become unreliable, not compensating when they should. These inconsistencies intensify vulnerability, lead to distrust of insurance, and ultimately have an impact on demand. This publication details the project, which investigated overcoming issues with ground data by using remote sensing data for index insurance. It describes the different remote sensing options and opportunities available for index insurance, but it also recommends further investment in research and development, supplementary ground data and capacity-building going forward.