Identification of Qinghai Menyuan Ms6.9 earthquake-stricken area based on VNP46A2 night lighting image

Xiaoxue Li; Anguo Liu; Rui Zhu; Xiao Zhang

doi:10.1117/12.3007342

30 August 2023 Identification of Qinghai Menyuan Ms6.9 earthquake-stricken area based on VNP46A2 night lighting image

Xiaoxue Li, Anguo Liu, Rui Zhu, Xiao Zhang

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127970O (2023) https://doi.org/10.1117/12.3007342
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

Rapid acquisition of earthquake-stricken areas is helpful to carry out emergency rescue work efficiently, and also has important reference significance for the production of intensity map. In this paper, with the new generation night light image product suite (NASA's Black Marble product suite) developed by NASA as the data source, the two-time difference value method and significance test are used to detect the change area of the difference image before and after the Menyuan Ms6.9 earthquake in Qinghai Province, so as to identify and extract the earthquake affected areas. The extraction results show that the earthquake affected area in Minle County is the largest, and the macro comparison according to the field investigation site and intensity map, the extraction results are in line with the actual situation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoxue Li, Anguo Liu, Rui Zhu, and Xiao Zhang "Identification of Qinghai Menyuan Ms6.9 earthquake-stricken area based on VNP46A2 night lighting image", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127970O (30 August 2023); https://doi.org/10.1117/12.3007342

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KEYWORDS

Earthquakes

Image segmentation

Histograms

Light sources and illumination

Spatial resolution

Clouds

Remote sensing

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