2 papers
econ.GN2021
Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs
Luna Yue Huang, Solomon Hsiang, Marco Gonzalez-Navarro
The rigorous evaluation of anti-poverty programs is key to the fight against global poverty. Traditional evaluation approaches rely heavily on repeated in-person field surveys to m…
cs.LG2020
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf, Jonathan Proctor, Tamma Carleton +5
Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-po…