Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs

Luna Yue Huang, Solomon Hsiang and Marco Gonzalez-Navarro

Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series from Department of Agricultural & Resource Economics, UC Berkeley

Date: 2021-07-01
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.escholarship.org/uc/item/1sp2w73b.pdf;origin=repeccitec (application/pdf)

Related works:
Working Paper: Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs (2021)
Working Paper: Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:agrebk:qt1sp2w73b

Access Statistics for this paper

More papers in Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series from Department of Agricultural & Resource Economics, UC Berkeley Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().