Predicting health insecurity in Brazil North East Region

Artisanal farmers in Brazil’s North-Est region are victims of frequent, increasingly stronger droughts. Water scarcity impacts poor farmers by limiting or annihilating their harvests and by strongly reducing access to potable water. These factors result in increasing farmer’s health and economic vulnerability.

Important information for poor farmers is to know when and where to plant. This is a big complex problem, that requires many sources of information. As of today, there is an interactive map (CEMADEN) that provides the location of droughts when they occur. However, no predictive information is found neither a model that predicts the impact of droughts on food security and health conditions.

Here is your challenge:

Build a predictive model that allows for a first step of predictive food insecurity mapping using drought indicators.

The data available for you to use

Sentinel-2 satellite observations are available globally with a high temporal revisit rate. From these data, it is possible to derive biophysical indices that characterize the vegetation state. The site to be examined is the municipality of Petrolina, located along the São Francisco River. The municipality economy is highly dependent on irrigated fruit production, including grapes. The effect of droughts is visible in satellite images.

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