Poverty estimation at the county level by combining LuoJia1-01 nighttime light data and points of interest
Author:
Affiliation:
1. School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China
Funder
National Natural Science Foundation of China
Key National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1870166
Reference61 articles.
1. How Low Can You Go? Combining Census and Survey Data for Mapping Poverty in South Africa
2. DMSP/OLS night‐time light imagery for urban population estimates in the Brazilian Amazon
3. A global inventory of coral reef stressors based on satellite observed nighttime lights
4. Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics
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