Webinar 12 - Remote sensing to insure against the peril drought

This webinar will provide insights concerning the developed EO-based insurance model that utilizes NDVI-imagery to quantitatively assess occurring agronomic droughts. As a business model, since 2018, the Vegetation Index Crop Insurance (VICI) scheme is successfully in use by various Ethiopian organizations.
VICI employs a novel NDVI data-cube analysis method to identify Crop Production System Zones for which, through the use of NDVI-imagery, by dekad, the left-extreme 15 and 5 percentile NDVI-values were identified to function as insurance trigger and exit thresholds. Accordingly, by crop season, covering more than 20 years, drought assessments were generated at a 1-km2 resolution. Noteworthy is that VICI insures farmers against exposure to drought and avoids insuring the farmers business model. Linked advantages of VICI are that it is fully scalable, is not crop specific, features reduced basis risks, and is statistically 100% sound.
At present, based on VICI, drought assessments are being produced for series of African countries. As example, an animation of past droughts in South Africa will be shown.
Knowledge regarding using Copernicus Global Land Service (CGLS) supplied NDVI-imagery will be an asset, but is not a must.
The webinar will be executed under the framework of the EO AFRICA R&D Facility by ITC-UTwente.