In this talk, we propose sharing our progress towards implementing a nationwide system which aims to locate vulnerable community sprawls and assess poverty status between census years, using satellite imagery. In the process discussed, we will develop the capabilities to track differences in gap years and estimate people's wealth status in new and modified settlements.

Crucially, we intend to contribute to estimates from ground truth data obtained with local surveys. The outcome of this project will be a system with the ability to track vulnerable communities during census gap years based on deep learning and employing a blend of multispectral and multisensorial satellite imagery and ground surveys. This will enable us to assess our algorithms' performance and provide relevant feedback to the inference mechanisms.

Please see the abstract above.

Authors and Affiliations – Elio Atenogenes Paloma Merodio Jimena Juarez Joaquín Salas

Track – Transition to FOSS4G

Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc.

Level – 1 - Principiants. No required specific knowledge is needed.

Language of the Presentation – English