Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light
Reliable electricity supply is critical to achieving Sustainable Development Goal 7 (SDG7), but it is difficult to measure and assess, especially in less developed countries and regions. Nighttime light (NTL) remote sensing is particularly well-suited to monitor artificial light. However, the daily...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10807094/ |
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| author | Miaoying Chen Yang Hu Xin Cao Shijie Li Luling Liu |
| author_facet | Miaoying Chen Yang Hu Xin Cao Shijie Li Luling Liu |
| author_sort | Miaoying Chen |
| collection | DOAJ |
| description | Reliable electricity supply is critical to achieving Sustainable Development Goal 7 (SDG7), but it is difficult to measure and assess, especially in less developed countries and regions. Nighttime light (NTL) remote sensing is particularly well-suited to monitor artificial light. However, the daily NTL from NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Black Marble product fluctuates due to angular effect, making it challenging to capture NTL anomalies accurately. This study proposed a new method to overcome the angular effect and detect low-value anomalies, serving the assessment of electricity supply reliability. We identified the optimal number of viewing zenith angle (VZA) groups, determining the magnitude of the angular effect. Subsequently, we obtained the characteristics and typical thresholds of the NTL variations at different observation angles, resulting from the observation geometry and the spatial structure of the surface. Finally, the spatial structure information of the angular effect is integrated to monitor the NTL anomalies over the time series. Anomalies with actual power outages were validated at 200 random points in Johannesburg, South Africa. The results show that the method effectively overcomes the impact of angular effect and successfully detects the power outage signals with an overall accuracy of 89.41%, precision of 83.78%, and recall of 84.64%. Moreover, the electricity anomaly rate in Johannesburg increased from 36% to 51% between 2020 and 2023, with elevated areas mainly in densely residential areas and commercial centers. The proposed method can be used to assess electricity supply reliability at regional and global scales. |
| format | Article |
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| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-79fc3362a6f14727acce89b3d9ed8fc22025-01-11T00:00:32ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01182990299910.1109/JSTARS.2024.352016810807094Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime LightMiaoying Chen0Yang Hu1https://orcid.org/0000-0002-3024-8811Xin Cao2https://orcid.org/0000-0001-5789-7582Shijie Li3https://orcid.org/0000-0002-1583-4951Luling Liu4https://orcid.org/0009-0007-0957-5889State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaDepartment of Civil Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, JapanState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaState Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaReliable electricity supply is critical to achieving Sustainable Development Goal 7 (SDG7), but it is difficult to measure and assess, especially in less developed countries and regions. Nighttime light (NTL) remote sensing is particularly well-suited to monitor artificial light. However, the daily NTL from NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Black Marble product fluctuates due to angular effect, making it challenging to capture NTL anomalies accurately. This study proposed a new method to overcome the angular effect and detect low-value anomalies, serving the assessment of electricity supply reliability. We identified the optimal number of viewing zenith angle (VZA) groups, determining the magnitude of the angular effect. Subsequently, we obtained the characteristics and typical thresholds of the NTL variations at different observation angles, resulting from the observation geometry and the spatial structure of the surface. Finally, the spatial structure information of the angular effect is integrated to monitor the NTL anomalies over the time series. Anomalies with actual power outages were validated at 200 random points in Johannesburg, South Africa. The results show that the method effectively overcomes the impact of angular effect and successfully detects the power outage signals with an overall accuracy of 89.41%, precision of 83.78%, and recall of 84.64%. Moreover, the electricity anomaly rate in Johannesburg increased from 36% to 51% between 2020 and 2023, with elevated areas mainly in densely residential areas and commercial centers. The proposed method can be used to assess electricity supply reliability at regional and global scales.https://ieeexplore.ieee.org/document/10807094/Angular effectelectricity supply reliabilitylight anomaly detectionnighttime lightviewing zenith angleVisible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) |
| spellingShingle | Miaoying Chen Yang Hu Xin Cao Shijie Li Luling Liu Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Angular effect electricity supply reliability light anomaly detection nighttime light viewing zenith angle Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) |
| title | Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light |
| title_full | Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light |
| title_fullStr | Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light |
| title_full_unstemmed | Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light |
| title_short | Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light |
| title_sort | assessing electricity supply reliability by detection of anomalies in daily nighttime light |
| topic | Angular effect electricity supply reliability light anomaly detection nighttime light viewing zenith angle Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) |
| url | https://ieeexplore.ieee.org/document/10807094/ |
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