Agricultural index-based insurance emerging is a key tool for managing climate risks. However, one of the key challenges for index insurance is basis risk, which is the difference between the actual loss and the indemnity, which often prevents the adoption of index-based insurance solutions. Employing satellite-based data is a potential solution to minimize basis risk. The study will use the time-series dataset of remotely sensed derived vegetation indices to map key phenology stages to monitor ex-ante yield loss of coffee, which will later be integrated with weather variables to develop proactive index insurance solutions for coffee. The study is expected to enhance the utilization of remote sensing data in developing new index-based insurance solutions for major crops in Southeast Asia.
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