Paper
6 November 2023 Nighttime satellite light view of Kherson on the front line of the Russia-Ukraine conflict
Mingyu Chen, Hanke Zhang, Shensen Hu, Xinyi Zhoufang, Dingyuan Tian
Author Affiliations +
Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292117 (2023) https://doi.org/10.1117/12.2688194
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia
Abstract
The low-light imager on the satellite is able to sense changes in lights on the ground at night, including those caused by military conflicts on the ground. In this paper, we analyze the light change data of Kherson, which is the front line of Russia-Ukraine conflict that started on February 24, 2022. Two parameters, the number of light pixels and the average intensity of light pixels in the target area were used to assess the battlefield situation in this paper. Through image processing and data analysis, it can be found that the number of light pixels in Kherson decreased by 42.8% from February to March, and the average intensity of light pixels decreased by 23.1%. Based on this, we propose the parameter of relative light ratio to reduce the influence of other factors, such as low-light imager payload itself and moonlight, on the number of light pixels and the average intensity of light pixels. As a result, we can reduce the degree of fluctuation of daily light data in Kherson by comparing it with two parameters in two reference cities, Krasnodar and Rostov-on-Don. The relative light ratios of the number of light pixels and the average intensity of light pixels for Kherson and either reference city were calculated one by one, and it was found that fluctuation of the relative light ratios was significantly smaller, and the relative light ratio of both parameters decreased greatly from February to March, which was consistent with time of the beginning of Russia-Ukraine conflict.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingyu Chen, Hanke Zhang, Shensen Hu, Xinyi Zhoufang, and Dingyuan Tian "Nighttime satellite light view of Kherson on the front line of the Russia-Ukraine conflict", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292117 (6 November 2023); https://doi.org/10.1117/12.2688194
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KEYWORDS
Satellites

Light sources and illumination

Quality control

Earth observing sensors

Low light imagers

Satellite imaging

Clouds

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