Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery

被引:171
|
作者
Doll, Christopher N. H. [1 ,2 ]
Pachauri, Shonali [3 ]
机构
[1] United Nations Univ, Inst Adv Studies UNU IAS, Nishi Ku, Yokohama, Kanagawa 2208502, Japan
[2] Univ Tokyo, Dept Urban Engn, Tokyo 1138654, Japan
[3] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria
关键词
Electricity access; Rural development; Night-time light remote sensing; INDIA;
D O I
10.1016/j.enpol.2010.05.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
A lack of access to energy and, in particular, electricity is a less obvious manifestation of poverty but arguably one of the most important. This paper investigates the extent to which electricity access can be investigated using night-time light satellite data and spatially explicit population datasets to compare electricity access between 1990 and 2000. We present here the first satellite derived estimates of rural population without access to electricity in developing countries to draw insights on issues surrounding the delivery of electricity to populations in rural areas. The paper provides additional evidence of the slow progress in expansion of energy access to households in Sub-Saharan Africa and shows how this might be ascribed in part due to the low population densities in rural areas. The fact that this is a continent with some of the lowest per-capita income levels aggravates the intrinsic difficulties associated with making the investments needed to supply electricity in areas with low population density and high dispersion. Clearly, these spatial dimensions of the distributions of the remaining unelectrified populations in the world have an impact on what options are considered the most appropriate in expanding access to these households and the relative attractiveness of decentralized options. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5661 / 5670
页数:10
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    [J]. ECOLOGICAL ECONOMICS, 2006, 57 (01) : 75 - 92
  • [2] Downscaling Satellite Night-Time Light Imagery While Addressing the Blooming Effect
    Tziokas, Nikolaos
    Zhang, Ce
    Tziokas, Alexandros
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  • [3] The use of night-time lights satellite imagery as a measure of Australia's regional electricity consumption and population distribution
    Townsend, Alexander C.
    Bruce, David A.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (16) : 4459 - 4480
  • [4] Cokriging Areal Interpolation for Estimating Economic Activity Using Night-Time Light Satellite Data
    Triantakonstantis, Dimitrios
    Stathakis, Demetris
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT IV, 2014, 8582 : 243 - 252
  • [5] Mapping population distribution by integrating night-time light satellite imagery and land-cover data
    Liu, Xianfeng
    Zhu, Xiufang
    Pan, Yaozhong
    Ma, Yuqi
    Li, Tianqi
    Chen, Shuchen
    [J]. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 2186 - 2189
  • [6] Poverty assessment using DMSP/OLS night-time light satellite imagery at a provincial scale in China
    Wang, Wen
    Cheng, Hui
    Zhang, Li
    [J]. ADVANCES IN SPACE RESEARCH, 2012, 49 (08) : 1253 - 1264
  • [7] Infrastructure and economic development in developing economies New empirical evidence from night-time satellite imagery in Vietnam
    Hiep Ngoc Luu
    Ngoc Minh Nguyen
    Ho, Hai Hong
    Dao Ngoc Tien
    [J]. INTERNATIONAL JOURNAL OF SOCIAL ECONOMICS, 2019, 46 (04) : 581 - 594
  • [8] Ecological approaches in veterinary epidemiology: mapping the risk of bat-borne rabies using vegetation indices and night-time light satellite imagery
    Luis E Escobar
    A Townsend Peterson
    Monica Papeş
    Myriam Favi
    Veronica Yung
    Olivier Restif
    Huijie Qiao
    Gonzalo Medina-Vogel
    [J]. Veterinary Research, 46
  • [9] Ecological approaches in veterinary epidemiology: mapping the risk of bat-borne rabies using vegetation indices and night-time light satellite imagery
    Escobar, Luis E.
    Peterson, A. Townsend
    Papes, Monica
    Favi, Myriam
    Yung, Veronica
    Restif, Olivier
    Qiao, Huijie
    Medina-Vogel, Gonzalo
    [J]. VETERINARY RESEARCH, 2015, 46
  • [10] Estimating Rural Electric Power Consumption Using NPP-VIIRS Night-Time Light, Toponym and POI Data in Ethnic Minority Areas of China
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    Ding, Jieyu
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    Luan, Guize
    Song, Lu
    Peng, Zhiyan
    Du, Qingyun
    Xie, Zhiqiang
    [J]. REMOTE SENSING, 2020, 12 (17) : 1 - 20