Regional landslide disaster risk analysis based on big data

Xikui Lu; Yongyi Yuan

doi:10.1117/12.2639227

23 May 2022 Regional landslide disaster risk analysis based on big data

Xikui Lu, Yongyi Yuan

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122542Z (2022) https://doi.org/10.1117/12.2639227
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

Landslide is one of the world's most destructive natural disasters, in recent years, due to extreme weather and human engineering activities, such as shift caused by the landslide disaster events brought serious harm to the society, therefore, scientific prediction of landslide disaster in order to realize, disaster prevention and reduction is of great scientific significance, based on the guizhou pan city as research area, with the support of vast amounts of big data, The traffic road and residential building information were obtained by high resolution remote sensing image, and the landslide risk and disaster bearing body information were integrated, and regional landslide disaster risk analysis was realized by risk matrix. The results show that the landslide risk areas are mainly concentrated in urban areas, township streets and traffic areas with high economic value, covering an area of 214.2km2, accounting for 5.3% of the total area of the study area. The prediction results are consistent with the actual situation in the study area, providing technical support for disaster prevention and relief.

Citation Download Citation

Xikui Lu and Yongyi Yuan "Regional landslide disaster risk analysis based on big data", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122542Z (23 May 2022); https://doi.org/10.1117/12.2639227

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