Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

Accurate and comprehensive measurements of economic well-being are fundamental inputs into both research and policy, but such measures are unavailable at a local level in many parts of the world. Here we train deep learning models to predict survey-based estimates of asset wealth across ~ 20,000 Afr...

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Detalles Bibliográficos
Autores principales: Yeh, Christopher, Perez, Anthony, Driscoll, Anne, Azzari, George, Tang, Zhongyi, Lobell, David, Ermon, Stefano, Burke, Marshall
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244551/
https://www.ncbi.nlm.nih.gov/pubmed/32444658
http://dx.doi.org/10.1038/s41467-020-16185-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244551/
https://www.ncbi.nlm.nih.gov/pubmed/32444658
http://dx.doi.org/10.1038/s41467-020-16185-w

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