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Objectives: On 5th September 2022, an Ms 6.8 earthquake struck the Luding County, Ganzi Prefecture, Sichuan Province, China. This earthquake triggered extensive geological hazards in the moun‐ tainous area, leading to serious casualties. Rapidly and accurately obtaining the spatial distribution of the in‐ duced geological hazards is crucial for emergency decision-making and rescue after an earthquake. Methods: Based on the global coseismic landslide database and deep learning algorithm, this paper built a near real-time prediction model of spatial distribution probability of coseismic landslides, and obtained the prediction results of the geological hazards induced by the Luding earthquake within 2 hours after the event. Through the post-earthquake unmanned aerial vehicle （UAV） and satellite remote sensing images, ma‐ chine learning and deep learning algorithms were used to realize the automated recognition of large-scale geological hazards. A total of 3 633 earthquake-induced landslides with an area of 13.78 km2 were interpreted. Finally, the model was optimized by integrating these landslide data, and the prediction results of coseismic landslides with a broader area and higher accuracy were achieved. Results: The results show that the coseis‐ mic landslide prediction model can realize a rapid capture of spatial distribution of post-earthquake geologi‐ cal hazards, filling the blank period before the acquisition of post-earthquake remote sensing images and providing support for post-disaster emergency rescue. Conclusions: Intelligent identification technologies based on UAV and satellite remote sensing images are effective means to rapidly obtain the vital informa‐ tion of large-scale geological hazards. The achievements obtained in this paper played an important role in the emergency rescue after the Luding earthquake. [ABSTRACT FROM AUTHOR]

The 8th symposium on fluid geoscience, mineral resources and environmental disasters reflects the formation and evolution of geological fluids, the enrichment and distribution of mineral resources, and the research progress and development trend of environmental disasters in recent years. The relevant papers of the 8th symposium regarding fluid geoscience, mineral resources and environmental disasters from 6 aspects, including the deep geological processes and mineral resources, the physicochemical techniques of geological fluid research, the fluid geochemical characteristics and seismicity, the occurrence characteristics and development status of geothermal resources, the accumulation characteristics, controlling factors and enrichment rules of geological resources, the fluid geoscience and geographical natural environment, were summarized. The results show that ① the generation and evolution mechanism, enrichment and migration mechanism of oil, gas and mineral resources, and the development of exploration and development technology are still the focus of the current research in the field of fluid geoscience, and the research content also pays more attention to the history and mechanism of resource generation and evolution; ② it is the current main trend to adopt diversified and more accurate new technologies to explore new fields with more complicated geological conditions, deeper burial and more difficult exploration and exploitation; ③ at present, the uncertainty of China's extreme natural disaster risk is affected by many natural, economic and social factors, and it shows an increasing trend; destructive earthquakes are in a period of frequent occurrence, and the sudden, abnormal and complex characteristics of natural disasters are also showing an increasing trend, therefore, it is urgent to improve China's natural disaster prevention and control capacity. [ABSTRACT FROM AUTHOR]