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Estimating global economic well-being with unlit settlements

Urheber*innen

McCallum,  Ian
External Organizations;

/persons/resource/kyba

Kyba,  C.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Bayas,  Juan Carlos Laso
External Organizations;

Moltchanova,  Elena
External Organizations;

Cooper,  Matt
External Organizations;

Cuaresma,  Jesus Crespo
External Organizations;

Pachauri,  Shonali
External Organizations;

See,  Linda
External Organizations;

Danylo,  Olga
External Organizations;

Moorthy,  Inian
External Organizations;

Lesiv,  Myroslava
External Organizations;

Baugh,  Kimberly
External Organizations;

Elvidge,  Christopher D.
External Organizations;

Hofer,  Martin
External Organizations;

Fritz,  Steffen
External Organizations;

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Volltexte (frei zugänglich)

5011260.pdf
(Verlagsversion), 3MB

Ergänzendes Material (frei zugänglich)
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Zitation

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


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5011260
Zusammenfassung
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%.