MONITORING DISASTER-RELATED POWER OUTAGES USING NASA BLACK MARBLE NIGHTTIME LIGHT PRODUCT

41 citations as recorded by crossref.

1. Hurricane damage detection on four major Caribbean islands K. de Beurs et al. https://doi.org/10.1016/j.rse.2019.04.028
2. Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut Z. Liu et al. https://doi.org/10.3390/rs11182091
3. A Review of the Far-Reaching Usage of Low-Light Nighttime Data C. Combs & S. Miller https://doi.org/10.3390/rs15030623
4. Spatiotemporal analysis of light pollution in Antalya, Turkey, and its relationship with urban air quality F. Shah & Ç. Moral https://doi.org/10.1007/s10661-026-15050-5
5. Integrating Strong Ground Motion Simulation with Nighttime Light Remote Sensing for Seismic Damage Assessment in the 2025 Dingri Mw7.1 Earthquake W. Wang et al. https://doi.org/10.3390/rs18030414
6. Logic combination and diagnostic rule-based method for consistency assessment and its application to cross-sensor calibrated nighttime light image products Z. Zheng et al. https://doi.org/10.1016/j.rse.2025.114598
7. A Simple Method for Near-Real-Time Monthly Nighttime Light Image Production Z. Zheng et al. https://doi.org/10.1109/LGRS.2021.3059799
8. The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia D. Kirschbaum et al. https://doi.org/10.3389/feart.2019.00197
9. Post-Earthquake Night-Time Light Piecewise (PNLP) Pattern Based on NPP/VIIRS Night-Time Light Data: A Case Study of the 2015 Nepal Earthquake S. Gao et al. https://doi.org/10.3390/rs12122009
10. Critical Disaster Indicators (CDIs): Deriving the Duration, Damage Degree, and Recovery Level from Nighttime Light Image Time Series W. Lin et al. https://doi.org/10.3390/rs15235471
11. Event-Driven Power Outage Prediction using Collaborative Neural Networks A. Onaolapo et al. https://doi.org/10.1109/TII.2022.3178695
12. Lost in the dark: A survey of energy poverty from space B. Min et al. https://doi.org/10.1016/j.joule.2024.05.001
13. A district-level timing benchmark of post-earthquake recovery in Hatay: Agent-based simulation, VIIRS nighttime-light, and service-reliability evidence Ç. Akar et al. https://doi.org/10.1016/j.pdisas.2026.100664
14. Remote sensing of night lights: A review and an outlook for the future N. Levin et al. https://doi.org/10.1016/j.rse.2019.111443
15. A Study on the Association of Socioeconomic and Physical Cofactors Contributing to Power Restoration After Hurricane Maria S. Azad & M. Ghandehari https://doi.org/10.1109/ACCESS.2021.3093547
16. Evaluating night-time light sources and correlation with socio-economic development using high-resolution multi-spectral Jilin-1 satellite imagery of Quito, Ecuador C. Watson et al. https://doi.org/10.1080/01431161.2023.2205983
17. Estimating natural disaster loss using improved daily night-time light data M. Jia et al. https://doi.org/10.1016/j.jag.2023.103359
18. City-level resilience to extreme weather shocks revealed by satellite nighttime lights in China L. Hu et al. https://doi.org/10.1016/j.scs.2023.105167
19. Integrating Geographic Information System network analysis and nighttime light satellite imagery to optimize landfill regionalization on a regional level N. Karimi et al. https://doi.org/10.1007/s11356-022-21462-w
20. Estimates of Power Shortages and Affected Populations during the Initial Period of the Ukrainian-Russian Conflict Z. Zheng et al. https://doi.org/10.3390/rs14194793
21. Assessing individual level power outage vulnerability through synthetic populations A. Kahl et al. https://doi.org/10.1016/j.ijdrr.2026.106318
22. Prediction-based analysis on power consumption gap under long-term emergency: A case in China under COVID-19 L. Huang et al. https://doi.org/10.1016/j.apenergy.2020.116339
23. A high-resolution gridded dataset to assess electrification in sub-Saharan Africa G. Falchetta et al. https://doi.org/10.1038/s41597-019-0122-6
24. Black Marble Nighttime Light Data for Disaster Damage Assessment D. Zhang et al. https://doi.org/10.3390/rs15174257
25. Spatio-temporal estimation of electricity consumption in Bolivian municipalities using nighttime lights O. Garbasevschi et al. https://doi.org/10.1080/10106049.2026.2657705
26. Analysis of Nighttime Light Changes and Trends in the 1-Year Anniversary of the Russia–Ukraine Conflict L. Wang et al. https://doi.org/10.1109/JSTARS.2024.3357727
27. Hurricane Risk of Solar Generation in the United States L. Ceferino & N. Lin https://doi.org/10.1061/NHREFO.NHENG-1764
28. Satellite Hyperspectral Nighttime Light Observation and Identification with DESIS R. Ryan et al. https://doi.org/10.3390/rs16050923
29. Analysing hurricane-induced power outage using VIIRS/DNB time series: comparisons of three automated detection approaches W. Lin & C. Deng https://doi.org/10.1080/01431161.2024.2433764
30. A self-adjusting method to generate daily consistent nighttime light data for the detection of short-term rapid human activities Y. Hu et al. https://doi.org/10.1016/j.rse.2024.114077
31. Monitoring hydropower reliability in Malawi with satellite data and machine learning G. Falchetta et al. https://doi.org/10.1088/1748-9326/ab6562
32. Spatiotemporal Dynamics of Night-Time Light in Sudan During the Ongoing Conflict Y. Ru et al. https://doi.org/10.1109/JSTARS.2026.3681218
33. On the Use of Satellite Nightlights for Power Outages Prediction J. Montoya-Rincon et al. https://doi.org/10.1109/ACCESS.2022.3149485
34. The Changes in Nighttime Lights Caused by the Turkey–Syria Earthquake Using NOAA-20 VIIRS Day/Night Band Data Y. Yuan et al. https://doi.org/10.3390/rs15133438
35. Stochastic modeling of solar irradiance during hurricanes L. Ceferino et al. https://doi.org/10.1007/s00477-021-02154-2
36. Effective plans for hospital system response to earthquake emergencies L. Ceferino et al. https://doi.org/10.1038/s41467-020-18072-w
37. Monitoring global power outages induced by tropical cyclones using nighttime light data L. Zhu et al. https://doi.org/10.1016/j.isprsjprs.2026.01.042
38. NPP-VIIRS DNB Daily Data in Natural Disaster Assessment: Evidence from Selected Case Studies X. Zhao et al. https://doi.org/10.3390/rs10101526
39. The inequitable distribution of power interruptions during the 2021 Texas winter storm Uri Z. Shah et al. https://doi.org/10.1088/2634-4505/acd4e7
40. Power outage and environmental justice in Winter Storm Uri: an analytical workflow based on nighttime light remote sensing J. Xu et al. https://doi.org/10.1080/17538947.2023.2224087
41. A socio-technical approach for the assessment of critical infrastructure system vulnerability in extreme weather events J. Montoya-Rincon et al. https://doi.org/10.1038/s41560-023-01315-7