Using publicly 使用公开遥感数据做非洲贫困分布制图

Abstract

使用了约20000个village-level的点，得到village-level的精度是\(r^2\)=70%
在时间维度上，使用了district-aggregated change 作为评估尺度，精度是\(r^2\)=50%
评估了研究对于研究和政策的影响（下游任务）
We demonstrate the utility of satellite-based estimates for research and policy, and demonstrate their scalability by creating a wealth map for Africa’s most populous country.

To develop our models, we assemble data on asset wealth for >500k households living in 19,669 villages across 23 countries in Africa, drawn from nationally representative Demographic and Health Surveys (DHS) conducted between the years 2009 and 2016