Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

garbamoussa/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi

Domain:

climategeospatial

Record type:

datasetproject
Creator:
gar
Host:
ZINDI : UNICEF Arm 2030 Vision Flood Prediction in Malawi # UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi ZINDI : UNICEF Arm 2030 Vision Flood Prediction in Malawi # Context 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. About 2030Vision (2030vision.com): 2030Vision is an initiative founded to propel technology forward to support the Sustainable Development Goals (SDGs). 2030Vision aims to transform the use of technology through collaborative partnerships and innovative projects, to support the delivery of the SDGs and unlock the commercial opportunities they offer, by identifying and scaling impactful technologies through multi-sector partnerships. About UNICEF (unicef.org): The United Nations Children's Fund (UNICEF) is a United Nations agency responsible for providing humanitarian and developmental aid to children around the world. UNICEF works in some of the world’s toughest places, to reach the world’s most disadvantaged children. Across more than 190 countries and territories, we work for every child, everywhere, to build a better world for everyone. About Arm (arm.com): Arm is the world’s leading semiconductor IP company with technologies reachi …

Visit

github.com

Similar

UNICEF Arm 2030 Vision #1: Flood Prediction in Malawiasumgh/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawiabofficial444/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawitrevornagaba/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi-zindi-daniel-obare/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-MalawiUNICEF Arm 2030 Vision #2: Malawi Floods Data Visualization and Reporting Challenge

UNICEF Arm 2030 Vision #1: Flood Prediction in Malawi

Predict flood extent caused by storms in southern Malawi
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

asumgh/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi

# UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi This solution represent score = 0.079708 in pr

abofficial444/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi

12th/492nd, On 14 March 2019, tropical Cyclone Idai made landfall at the port of Beira, Mozambique,

trevornagaba/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi-zindi-

# UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi A zindi competiton, see details here >>> http

daniel-obare/UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi

# UNICEF-Arm-2030-Vision-1-Flood-Prediction-in-Malawi On 14 March 2019, tropical Cyclone Idai made

UNICEF Arm 2030 Vision #2: Malawi Floods Data Visualization and Reporting Challenge

Generate data insights about the 2015 flood in Malawi
We are asking you to generate new analysis and insights using data about the 2015 flooding in southern Malawi. You can explore issues around the extent of the floods and the impact of the floods on thing