{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T02:08:23Z","timestamp":1776218903804,"version":"3.50.1"},"reference-count":57,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,1,21]],"date-time":"2023-01-21T00:00:00Z","timestamp":1674259200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Projects of International Cooperation and Exchanges NSFC","award":["6201101508"],"award-info":[{"award-number":["6201101508"]}]},{"name":"Projects of International Cooperation and Exchanges NSFC","award":["QYZDB-SSW-JSC051"],"award-info":[{"award-number":["QYZDB-SSW-JSC051"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["6201101508"],"award-info":[{"award-number":["6201101508"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["QYZDB-SSW-JSC051"],"award-info":[{"award-number":["QYZDB-SSW-JSC051"]}]},{"name":"State Key Laboratory of applied optics","award":["6201101508"],"award-info":[{"award-number":["6201101508"]}]},{"name":"State Key Laboratory of applied optics","award":["QYZDB-SSW-JSC051"],"award-info":[{"award-number":["QYZDB-SSW-JSC051"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Rapid disaster assessment is critical for public security and rescue. As a secondary disaster of large-scale meteorological disasters, power outages cause severe outcomes and thus need to be monitored efficiently and without being costly. Power outage detection from space-borne remote sensing imagery offers a broader coverage and is more temporally sensitive than ground-based surveys are. However, it is challenging to determine the affected area accurately and quantitatively evaluate its severity. Therefore, a new method is proposed to solve the above problems by building a power outage detection model (PODM) and drawing a power outage spatial distribution map (POSDM). This paper takes the winter storm Uri, of 2021, as the meteorological disaster background and Harris County, Texas, which was seriously affected, as the research object. The proposed method utilises the cloud-free VIIRS DNB nadir and close nadir images (&lt;60 degrees) collected during the 3 months before and 15 days after Uri. The core idea beneath the proposed method is to compare the radiance difference in the affected area before and after the disaster, and a large difference in radiance indicates the happening of power outages. The raw radiance of night light measurement is first corrected to remove lunar and atmospheric effects to improve accuracy. Then, the maximum and minimum pixels in the target area of the image are considered outliers and iteratively eliminated until the standard deviation change before and after elimination is less than 1% to finalize the outlier removals. The case study results in Harris show that the PODM detects 28% of outages (including traffic area) compared to 17% of outages (living area only) reported by ground truth data, indicating general agreement with the proposed method.<\/jats:p>","DOI":"10.3390\/rs15030640","type":"journal-article","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T04:19:22Z","timestamp":1674447562000},"page":"640","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Disaster-Caused Power Outage Detection at Night Using VIIRS DNB Images"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6175-738X","authenticated-orcid":false,"given":"Haodong","family":"Cui","sequence":"first","affiliation":[{"name":"Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Shi","family":"Qiu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"State Key Laboratory of Applied Optics (SKLAO), Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Chinese Academy of Sciences, Changchun 130033, China"}]},{"given":"Yicheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Advanced Laser Technology Laboratory of Anhui Province, Hefei 230009, China"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Zhaoyan","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7941-4457","authenticated-orcid":false,"given":"Kirsi","family":"Karila","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, FI-00521 Helsinki, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4366-4547","authenticated-orcid":false,"given":"Jianxin","family":"Jia","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, FI-00521 Helsinki, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0148-3609","authenticated-orcid":false,"given":"Yuwei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, FI-00521 Helsinki, Finland"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"577","DOI":"10.2208\/prohe.50.577","article-title":"Field investigation of disasters in sri lankan rivers caused by sumatra earthquake tsunami","volume":"50","author":"Tanaka","year":"2006","journal-title":"Proc. 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