SNPP VIIRS DNB 영상자료를 이용한 대한민국 광역시도별 전력 사용량 추정 = The Estimation of Electric Power Consumption for Both Metropolitan Cities and Provinces in the Republic of Korea Using SNPP VIIRS DNB Satellite Imagery

다국어 초록 (Multilingual Abstract)

DMSP OLS imagery has been utilized for estimating level of light pollution, temporal variations of economic development, spatial extent of impervious surfaces, electricity consumption (EC) and so on. However, it was pointed out that the satellite imagery would have some limitations such as coarse spatial resolution, pixel saturation, blooming effect for being used in various research domains. In recent years, SNPP VIIRS DNB imagery is known to overcome such problems associated with the conventional nocturnal imagery. Therefore, this research utilized the sum of nighttime lights, i.e., NTLsum in estimating EC at provincial levels in the Republic of Korea, based on linear, power and exponential regression models. According to the results of this study, the optimal models of predicting EC were distinct from provinces to provinces. Therefore, a caution should be taken in selecting an estimation model of EC with VIIRS DNB satellite images.

국문 초록 (Abstract)

DMSP OLS 영상은 빛 공해, 경제수준의 시계열 변화, 시가화 건조지역의 공간 범위 및 전력 사용량 추정 등의 연구에 활발하게 이용되고 있다. 그러나 이 영상자료는 낮은 공간해상도, 화소값 포화, 블루밍 효과 등은 활용의 한계점으로 지적되고 있다. 최근 SNPP VIIRS DNB 영상은 기존 DMSP OLS와 관련된 문제를 극복할 수 있는 효과적인 영상자료로 알려져 있다. 본 연구는 VIIRS DNB 영상자료의 인공조명 빛 세기 합인 NTLsum을 설명변수로 이용하여 우리나라 광역시도별 전력 사용량을 추정하는 선형, 거듭제곱, 지수 등 세 회귀모형의 결과를 비교하였다. 회귀모형에 의한 추정값과 전력 사용량통계값 간 상대오차를 살펴보면, 광역시도별 최적의 회귀모형이 서로 다르게 나타났다. 따라서 야간 인공조명 영상자료를이용하여 전력 사용량 추정 연구를 수행할 때 회귀모형의 선택에 주의를 요할 필요성이 제기된다.

참고문헌 (Reference)

1 김민호, "접경지역 빛합계 지수의 지정학·지경학적 함의: 중국 단둥시를 사례로" 한국경제지리학회 20 (20): 367-385, 2017

2 김민호, "위성영상을 활용한 국내 빛공해 변화에 관한 연구" 한국지도학회 14 (14): 49-59, 2014

3 통계청, "도시 일반현황"

4 UN(United Nations), "World Urbanization Prospects:The 2018 Revision"

5 NOAA(NationalOceanic and Atmospheric Administration), "Visible Infrared Imaging Radiometer Suite (VIIRS) ImageryEnvironmentalDataRecord (EDR)User’sGuide (version 1.1)"

6 NGCD(National Geophysical Data Center), "Version 4 DMSP-OLS nighttime lights time series"

7 Davis, K., "Urbanization and the development of pre-industrial areas" The University of Chicago Press 1954

8 Moomaw, R.L., "Urbanization and economic development : a bias toward large cities?" 40 : 13-37, 1996

9 Falchi, F, "The new world atlas of artificial night sky brightness" 2 : e1600377-, 2016

10 Gallay, T., "The economics of global light pollution" 69 : 658-665, 2010

11 Thomas E. Lee, "The NPOESS VIIRS Day/Night Visible Sensor" American Meteorological Society 87 (87): 191-200, 2006

12 Kim, M., "Spatiotemporal patterns of outdoor artificial nighttime lights exposure in the Republic of Korea between 1995 and 2010" 42 (42): 69-78, 2015

13 Small, C., "Spatial analysis of global urban extent from DMSP-OLS night lights" 96 : 277-291, 2005

14 Li, X., "Remote sensing of night-time light" 38 (38): 5855-5859, 2017

15 Ma, Q., "Quantifying spatiotemporal patterns of urban impervious surfaces in China : An improved assessment using nighttime light data" 130 : 36-49, 2014

16 Koo, Y. S., "Outdoor artificial light at night, obesity, and sleep health : Cross-sectional anlaysis in the KoGES study" 33 (33): 301-314, 2016

17 Elvidge, C. D., "Night-time lights of the world : 1994-1995" 56 : 81-99, 2001

18 Miller, S.D., "NextSat: previewingNPOESS/VIIRS imagery capabilities" 433-446, 2006

19 NASA(National Aeronautics and Space Administration), "NPP (NPOESS Preparatory Project): building a bridge to a new era of Earth observations"

20 Zhao, N., "Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery" 33 (33): 6304-6320, 2012

21 Clarke, R.V., "Improving street lighting to reduce crime in residential areas"

22 Liu, Z., "Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008" 106 : 62-72, 2012

23 Shi, K., "Evaluating the ability of NPPVIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of China at multiple scales : a comparison with DMSP-OLS data" 6 : 1705-1724, 2014

24 Letu, H., "Estimating energy consumption fromnight-timeDMSP/OLS imagery after correcting for saturation effects" 31 (31): 4443-4458, 2010

25 Welsh, B.P., "Effects of improved street lighting on crime" 2008

26 김민호, "DMSP OLS 야간 영상을 이용한 중국 랴오닝 성도시화의 시계열 분석" 한국지도학회 17 (17): 85-96, 2017

27 Qingxu Huang, "A Simulation Study on the Urban Population of China Based on Nighttime Light Data Acquired from DMSP/OLS" MDPI AG 8 (8): 521-, 2016