Electricity demand monitoring in Japan by using time-series DMSP stable lights images and its application to long-term damage assessment of natural disasters

IOP Conference Series: Earth and Environmental Science(2020)

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摘要
Abstract This paper demonstrates the potential of the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) stable light imagery for electricity power consumption (EPC) estimation in Japan and long-term damage assessment of natural disasters in term of yearly EPC fluctuation, taking the Japan Earthquake & Tsunami of 2011 as a case study. DMSP stable light data is proved useful for estimation of the economic variables. However, there are several well-known problems with the DMSP including lack of on-board calibration, geometric error, sensor saturation. Many researches have been conducted to develop methods for inter-calibration and saturation correction of DMSP stable light data, but much less effort on geometric correction which should be the first in the pre-processing chain. In term of disaster management, the 2011 Great Earthquake & Tsunami in Japan had severe instant and long-term damages, and DMSP data is potential for long-term damage assessment for the region. In this study, we have: (1) developed a new geometric correction method for DMSP stable light images; (2) developed an EPC estimation method from corrected DMSP data which is then used to derive electricity demand maps for Japan from 1992-2013; (3) performed analysis of correlations between DMSP night light data and GDP and population in Japan; (4) conducted a long-term damage assessment of the Japan Earthquake & Tsunami of 2011 by using the EPC maps in (2). It is found that the proposed geometric correction method gave better correlations between DMSP stable light images of the same year as compared to those of original images and most recent shift-based geometric correction method. Damage assessment reveals that an area of 286.208 km-squared has suffered from the disasters. It caused the EPC of the area drop significantly in 2011 (-42%) and to its lowest level in 2012 (-78%) before starting its recover in 2013.
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