Exploring the use of satellite imagery and computer vision-based machine learning method to improve the spatial granularity of poverty statistics
Martin Hofer, Tomas Sako, Arturo Martinez Jr., Joseph Bulan, Mildred Addawe, Ron Lester Durante, Marymell Martillan
| Year of publication: |
2025
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|---|---|
| Authors: | Hofer, Martin ; Sako, Tomas ; Martinez, Arturo ; Bulan, Joseph ; Addawe, Mildred ; Durante, Ron Lester ; Martillan, Marymell |
| Published in: |
Asian economic journal : journal of the East Asian Economic Association. - Oxford [u.a.] : Wiley-Blackwell, ISSN 1467-8381, ZDB-ID 2009850-9. - Vol. 39.2025, 1, p. 98-129
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| Subject: | big data | deep learning | machine learning | official statistics | poverty | SDG | Künstliche Intelligenz | Artificial intelligence | Armut | Poverty | Big Data | Big data | Statistische Methode | Statistical method | Datenerhebung | Data collection | Weltraumtechnik | Space technology |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1111/asej.12349 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015463180