Satellite data for the social sciences: measuring rural electrification with night-time lights

Dugoua, Eugenie ORCID: 0000-0002-4176-8740, Kennedy, Ryan and Urpelainen, Johannes (2018) Satellite data for the social sciences: measuring rural electrification with night-time lights. International Journal of Remote Sensing, 39 (9). pp. 2690-2701. ISSN 0143-1161

Text (Satellite data for the social sciences) - Accepted Version Download (1MB)

• Scopus publication
• Author

Abstract

Remote-sensing data has the potential to revolutionize social science. One of the most prominent examples of this is the Nighttime Lights data set, which provides digital measures of night-time luminosity from 1992 to 2013. This study evaluates the Nighttime Lights data against detailed rural electrification data from the 2011 Census of India. The results suggest that many night-time luminosity measures derived from satellite data are surprisingly accurate for measuring rural electrification, even at the village level and using simple statistical tools. We also demonstrate that this accuracy can be substantially improved by using of better GIS maps, basic geoprocessing tools, and particular aggregations of night-time luminosity. Night-time luminosity performs worse in measuring financial inclusion or proxies of poverty, however, and detects rural electrification less accurately when the supply of power is intermittent. These results offer guidelines for when and how remote-sensing data can be used when administrative data is absent or unreliable.

Item Type:	Article
Additional Information:	© 2017 Taylor & Francis
Divisions:	Geography & Environment
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Date Deposited:	16 May 2019 12:18
Last Modified:	14 Nov 2024 22:15
URI:	http://eprints.lse.ac.uk/id/eprint/100823

Actions (login required)

View Item