Disaster-Caused Power Outage Detection at Night Using VIIRS DNB Images

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 imager...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-02, Vol.15 (3), p.640
Main Authors: Cui, Haodong, Qiu, Shi, Wang, Yicheng, Zhang, Yu, Liu, Zhaoyan, Karila, Kirsi, Jia, Jianxin, Chen, Yuwei
Format: Article
Language:English
Subjects:
Accuracy
Atmospheric effects
Blackouts
Disasters
Earthquakes
Electric power
Electric power distribution
Ground truth
Infrastructure
Light
Meteorological satellites
Night
night light remote sensing
outage detection
Outages
outlier removing
Outliers (statistics)
Power failures
Radiance
Remote sensing
Spatial distribution
VIIRS DNB
Winter storms
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Summary: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 (
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15030640