Date: 22-24 November, 2019
Location: Abidjan | Grand-Bassam, Ivory Coast
This year, AfroAI UG (Haftungsbeschränkt) along side other organizations supported State of the Map Africa which was held in Abidjan | Grand-Bassam, Ivory Coast. During this event, our Managing Director, Linda Ochwada had the pleasure of presenting one of our use cases "Detecting, mapping and monitoring of seasonal changes of shallow water ponds using SAR data with Deep Learning".
Picture with some of the SotM Africa Organizers
Lunch with the group that attended the SotM Africa 2019
The effects of climate change on water resources have led to increased water stress in rural societies in sub-Saharan Africa ( SSA), with negative effects on humans, livestock and crop production. With low resource availability and long distances to permanent water sources, these societies are reliant on seasonal shallow ponds to satisfy both households and livestock water needs. Seasonal availability coupled with high siltation rates further increases the uncertainty in water availability in SSA Earth observation (coupled with technological advancement in feature detection through artificial intelligence machine learning) provides the best way to map and monitor changes in water resources. However, cloud contamination and atmospheric interference limit the use of optical EO in water resources monitoring due to inconsistency in data availability, especially in the tropics. Active microwave sensing data especially synthetic aperture radar (SAR) with its all day and night data acquisition solves the problem of data availability for continuous water resources monitoring. Using SAR data with deep learning, we detect and map the location and availability of shallow water ponds to local communities and monitor their status. This information in combination with weather data can be used e.g . for the preparation of food security projects by international NGOs, prevention of human-wildlife conflicts caused by limited water resources or the creation of an early warning systems for water stress in local societies. Using similar algorithms, object detection and mapping using imagery and deep learning are done by AfroAI UG , hence giving insight to location-based object.
Our MD preparing for the presentation at the SotM Africa on 22nd Nov. 2019
A picture with Organizers of SotM Africa 2019, at the Félix-Houphouët-Boigny International Airport, Ivory Coast Airport after presenting the scarf to our MD