Literature DB >> 28466451

Multiscale assessment of progress of electrification in Indonesia based on brightness level derived from nighttime satellite imagery.

Fatwa Ramdani1, Putri Setiani2.   

Abstract

Availability of electricity can be used as an indicator to proximate parameters related to human well-being. Overall, the electrification process in Indonesia has been accelerating in the past two decades. Unfortunately, monitoring the country's progress on its effort to provide wider access to electricity poses challenges due to inconsistency of data provided by each national bureau, and limited availability of information. This study attempts to provide a reliable measure by employing nighttime satellite imagery to observe and to map the progress of electrification within a duration of 20 years, from 1993 to 2013. Brightness of 67,021 settlement-size points in 1993, 2003, and 2013 was assessed using data from DMSP/OLS instruments to study the electrification progress in the three service regions (Sumatera, Java-Bali, and East Indonesia) of the country's public electricity company, PLN. Observation of all service areas shows that the increase in brightness, which correspond with higher electricity development and consumption, has positive correlation with both population density (R2 = 0.70) and urban change (R2 = 0.79). Moreover, urban change has a stronger correlation with brightness, which is probably due to the high energy consumption in urban area per capita. This study also found that the brightness in Java-Bali region is very dominant, while the brightness in other areas has been lagging during the period of analysis. The slow development of electricity infrastructure, particularly in major parts of East Indonesia region, affects the low economic growth in some areas and formed vicious cycle.

Entities:  

Keywords:  DMSP/OLS; Electrification; Indonesia; Nighttime satellite; Population; Urban change

Mesh:

Year:  2017        PMID: 28466451     DOI: 10.1007/s10661-017-5949-8

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Nighttime lights time series of tsunami damage, recovery, and economic metrics in Sumatra, Indonesia.

Authors:  Thomas W Gillespie; Elizabeth Frankenberg; Kai Fung Chum; Duncan Thomas
Journal:  Remote Sens Lett       Date:  2014-01-01       Impact factor: 2.583

2.  From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery.

Authors:  Steeve Ebener; Christopher Murray; Ajay Tandon; Christopher C Elvidge
Journal:  Int J Health Geogr       Date:  2005-02-10       Impact factor: 3.918

3.  Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data.

Authors:  Jinpei Ou; Xiaoping Liu; Xia Li; Meifang Li; Wenkai Li
Journal:  PLoS One       Date:  2015-09-21       Impact factor: 3.240

4.  Using remotely sensed night-time light as a proxy for poverty in Africa.

Authors:  Abdisalan M Noor; Victor A Alegana; Peter W Gething; Andrew J Tatem; Robert W Snow
Journal:  Popul Health Metr       Date:  2008-10-21
  4 in total

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