Estimating global economic well-being with unlit settlements.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
05 05 2022
Historique:
received: 09 11 2020
accepted: 05 04 2022
entrez: 5 5 2022
pubmed: 6 5 2022
medline: 10 5 2022
Statut: epublish

Résumé

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%.

Identifiants

pubmed: 35513376
doi: 10.1038/s41467-022-30099-9
pii: 10.1038/s41467-022-30099-9
pmc: PMC9072384
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2459

Informations de copyright

© 2022. The Author(s).

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Auteurs

Ian McCallum (I)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria. mccallum@iiasa.ac.at.

Christopher Conrad Maximillian Kyba (CCM)

GFZ German Research Centre for Geosciences, Telegrafenberg, 14473, Potsdam, Germany.

Juan Carlos Laso Bayas (JCL)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

Elena Moltchanova (E)

School of Mathematics & Statistics, University of Canterbury, Private Bag 4800, 8041, Christchurch, New Zealand.

Matt Cooper (M)

T.H. Chan School of Public Health, Harvard University, 677 Huntington Ave, 02115, Boston, MA, USA.

Jesus Crespo Cuaresma (JC)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.
Vienna University of Economics and Business, Welthandelsplatz 1, 1020, Vienna, Austria.

Shonali Pachauri (S)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

Linda See (L)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

Olga Danylo (O)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

Inian Moorthy (I)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

Myroslava Lesiv (M)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

Kimberly Baugh (K)

Cooperative Institute for Research in the Environmental Sciences, University of Colorado, 216 UCB, 80309, Boulder, CO, USA.

Christopher D Elvidge (CD)

Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines, 1500 Illinois St., 80401, Golden, CO, USA.

Martin Hofer (M)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

Steffen Fritz (S)

International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361, Laxenburg, Austria.

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