Justfja/Flood-Prediction-in-Malawi

# Flood-Prediction-in-Malawi On 14 March 2019, tropical Cyclone Idai made landfall at the port of Beira, Mozambique, before moving across the region. Millions of people in Malawi, Mozambique and Zimbabwe have been affected by what is the worst natural disaster to hit southern Africa in at least two decades. In recent decades, countries across Africa have experienced an increase in the frequency and severity of floods. Malawi has been hit with major floods in 2015 and again in 2019. In fact, between 1946 and 2013, floods accounted for 48% of major disasters in Malawi. The Lower Shire Valley in southern Malawi, bordering Mozambique, composed of Chikwawa and Nsanje Districts is the area most prone to flooding. The objective of this challenge is to build a machine learning model that helps predict the location and extent of floods in southern Malawi. This competition is sponsored by Arm and UNICEF as part of the 2030Vision initiative. Southern Malawi experienced major flooding in 2015 and again in 2019 with cyclone Idai. Approximate dates of impact are 13 January 2015 and 14 March 2019, respectively. We have broken up the map of southern Malawi into approximately 1 km sq rectangles. Each rectangle has a unique ID. Each rectangle has been assigned a "target" value which is the fraction (percentage) of that rectangle that was flooded in 2015. For this competition, the training data is the flood extent in 2015 in southern Malawi, however, you are encouraged to source other flood data for other nearby regions and other historic floods to train your model. (Just be sure to propose any new datasets that are not listed here to Zindi at zindi@zindi.africa for approval.) The test data to measure the accuracy of your model is the flood extent in southern Malawi in 2019. Each unique rectangle also has some additional features that we have already extracted for you. Although we encourage you to add more yourself, these features are included as a starting point. They are: …