Nighttime lights-innovative approach for identification of temporal and spatial changes in population distribution

Author:

Panic Milena1ORCID,Drobnjakovic Marija1ORCID,Stanojevic Gorica1ORCID,Kokotovic-Kanazir Vlasta1ORCID,Doljak Dejan1ORCID

Affiliation:

1. Geographical Institute “Jovan Cvijić” SASA, Belgrade, Serbia

Abstract

Nighttime lights represent the result of satellite observation of the artificial lighting of human activities on the Earth from space during the night, which provides the excellent opportunity to determine their position, pattern, density, and spatial distribution. Such data have a high detail spatial and temporal resolution, which opens a wide range of possibilities for quantitative and qualitative analysis. In this paper, nighttime lights are used as a highly accurate dataset for indirect tracking of changes in temporal and spatial patterns of population distribution and activity in Serbia. Two indicators were applied-Lighted area and Sum of lights. They are calculated for local government units in Serbia, for 2015 and period 2015-2019. The results of the conducted analysis follow the conclusions of the existing knowledge on population distribution based on the official statistical data. Areas with a high share of lighted areas are dominantly urban and the most populated, while traditionally depopulated areas are with a low share of lighted areas. Sum of lights highlighted the distinction between developed and populated north and depressive and depopulated south of Serbia. General conclusion is that ?dark has fallen in Serbia?, not only in peripheral and rural parts of the country, but in the smaller urban centers as well, and it is steadily spreading toward bigger urban areas. With nighttime lights application, this kind of process in terms of spatial disparities, its scope and dynamics can be easily identified, analyzed, and monitored.

Publisher

National Library of Serbia

Subject

Geology,Geography, Planning and Development

Reference75 articles.

1. Akiyama, Y. (2012, August 25-September 1). Analysis of light intensity data by the DMSP/OLS satellite image using existing spatial data for monitoring human activity in Japan. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Melbourne, Australia. https://www.isprs-ann-photogrammremote-sens-spatial-inf-sci.net/I-2/25/2012/isprsannals-I-2-25-2012.pdf

2. Amaral, S., Câmara, G., Miguel Vieira Monteiro, A., Alberto Quintanilha, J., & Elvidge, C. D. (2005). Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data. Computers, Environment and Urban Systems, 29(2), 179-195. https://doi.org/10.1016/j.compenvurbsys.2003.09.004

3. Anderson, S. J., Tuttle, B. T., Powell, R. L., & Sutton, P. C. (2010). Characterizing relationships between population density and nighttime imagery for Denver, Colorado: Issues of scale and representation. International Journal of Remote Sensing, 31(21), 5733-5746. https://doi.org/10.1080/01431161.2010.496798

4. Arsenović, D., Nikitović, V., & Magdalenić, I. (2018). Spatial dimension of the second demographic transition in Serbia. Zbornik Matice srpske za drustvene nauke, 167, 499-514. https://doi.org/10.2298/ZMSDN1867499A

5. Babović, S., Lović Obradović, S., & Prigunova, I. (2016). Depopulation of Villages in Southeastern Serbia as Hindrance to Economic Development. Journal of the Geographical Institute “Jovan Cvijić” SASA, 66(1), 61-74. https://doi.org/10.2298/IJGI1601061B

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3