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Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth

Keola, Souknilanh; Andersson, Magnus LU and Hall, Ola LU (2015) In World Development 66. p.322-334
Abstract
This study demonstrates estimations of economic activities on global, national, and subnational levels using remote sensing data, with a focus on developing economies. It extends a recent statistical framework which uses nighttime lights to estimate official income growth by accounting for agriculture and forestry which emit less or no additional observable nighttime light. The study argues that nighttime lights alone may not explain value-added by agriculture and forestry. By adding land cover data, our framework can be used to estimate economic growth in administrative areas of virtually any size. (C) 2014 Elsevier Ltd. All rights reserved.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
remote sensing, economic growth, land cover, MODIS, gross domestic, product, gross regional product
in
World Development
volume
66
pages
322 - 334
publisher
Elsevier
external identifiers
  • wos:000346944100021
  • scopus:84930940998
ISSN
1873-5991
DOI
10.1016/j.worlddev.2014.08.017
language
English
LU publication?
yes
id
81c67816-1a56-4264-8580-7c531bccd89a (old id 5085023)
date added to LUP
2015-02-25 17:35:54
date last changed
2017-11-19 03:24:39
@article{81c67816-1a56-4264-8580-7c531bccd89a,
  abstract     = {This study demonstrates estimations of economic activities on global, national, and subnational levels using remote sensing data, with a focus on developing economies. It extends a recent statistical framework which uses nighttime lights to estimate official income growth by accounting for agriculture and forestry which emit less or no additional observable nighttime light. The study argues that nighttime lights alone may not explain value-added by agriculture and forestry. By adding land cover data, our framework can be used to estimate economic growth in administrative areas of virtually any size. (C) 2014 Elsevier Ltd. All rights reserved.},
  author       = {Keola, Souknilanh and Andersson, Magnus and Hall, Ola},
  issn         = {1873-5991},
  keyword      = {remote sensing,economic growth,land cover,MODIS,gross domestic,product,gross regional product},
  language     = {eng},
  pages        = {322--334},
  publisher    = {Elsevier},
  series       = {World Development},
  title        = {Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth},
  url          = {http://dx.doi.org/10.1016/j.worlddev.2014.08.017},
  volume       = {66},
  year         = {2015},
}