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  Estimating global economic well-being with unlit settlements

McCallum, I., Kyba, C., Bayas, J. C. L., Moltchanova, E., Cooper, M., Cuaresma, J. C., Pachauri, S., See, L., Danylo, O., Moorthy, I., Lesiv, M., Baugh, K., Elvidge, C. D., Hofer, M., Fritz, S. (2022): Estimating global economic well-being with unlit settlements. - Nature Communications, 13, 2459.
https://doi.org/10.1038/s41467-022-30099-9

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 Creators:
McCallum, Ian1, Author
Kyba, C.2, Author           
Bayas, Juan Carlos Laso1, Author
Moltchanova, Elena1, Author
Cooper, Matt1, Author
Cuaresma, Jesus Crespo1, Author
Pachauri, Shonali1, Author
See, Linda1, Author
Danylo, Olga1, Author
Moorthy, Inian1, Author
Lesiv, Myroslava1, Author
Baugh, Kimberly1, Author
Elvidge, Christopher D.1, Author
Hofer, Martin1, Author
Fritz, Steffen1, Author
Affiliations:
1External Organizations, ou_persistent22              
21.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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Free keywords: Earth and environmental sciences; Environmental social sciences
 Abstract: It is well established that nighttime radiance, measured from satellites, correlates with economic prosperity across the globe. In developing countries, areas with low levels of detected radiance generally indicate limited development – with unlit areas typically being disregarded. Here we combine satellite nighttime lights and the world settlement footprint for the year 2015 to show that 19% of the total settlement footprint of the planet had no detectable artificial radiance associated with it. The majority of unlit settlement footprints are found in Africa (39%), rising to 65% if we consider only rural settlement areas, along with numerous countries in the Middle East and Asia. Significant areas of unlit settlements are also located in some developed countries. For 49 countries spread across Africa, Asia and the Americas we are able to predict and map the wealth class obtained from ~2,400,000 geo-located households based upon the percent of unlit settlements, with an overall accuracy of 87%.

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Language(s): eng - English
 Dates: 2022-05-052022
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41467-022-30099-9
GFZPOF: p4 T5 Future Landscapes
OATYPE: Gold Open Access
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Title: Nature Communications
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 13 Sequence Number: 2459 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://gfzpublic.gfz.de/cone/journals/resource/journals354
Publisher: Springer Nature