Emergency Surveying and Mapping in the Era of Artificial Intelligence

Objectives: Emergency surveying and mapping is an important method for disaster management and rescue operations. It can acquire and analyze geographic data quickly and accurately, which is essential for postdisaster rescue and reconstruction. Advanced technologies in the era of artificial intelligence (AI) have promoted emergency surveying and mapping into a new development stage, effectively improving work efficiency and data accuracy. It not only provides powerful support for emergency response, but also offers precise guidance and basis of decision-making for rescue operations, thus significantly enhancing the overall response capacity of national disaster management. Methods: Emergency surveying and mapping technology in the era of AI has brought new solutions to emergency management and emergency response in emergencies. Through the integration of communication and positioning technology, the response speed and positioning accuracy of rescue are significantly improved. The fusion of multi-source disaster data increases the comprehensiveness and real-time nature of information, providing strong support for disaster assessment. The construction of disaster models provides a new perspective for predicting the development of disasters and enhances the scientific nature of decision-making. The intelligent rescue command and service guarantee system significantly enhances the efficiency and safety of rescue operations. This study provides an empirical basis for the application of AI in the field of intelligent emergency surveying and mapping, demonstrating its potential to improve disaster response capabilities. Results: We conducted an in-depth analysis and summary of the technologies and methods for emergency surveying and mapping in the perspective of AI, elaborating on its characteristics such as space-air-ground integrated networks, human-cyberphysical collaboration, multi-source emergency data, real-time analysis and processing, intelligent decision-making service. Furthermore, we proposed a key technical framework of emergency surveying and mapping. The progress of emergency surveying and mapping technology is reviewed, which includes emergency communication and highprecision positioning, multi-source disaster data acquisition and fusion, typical disaster modelling and spatialtemporal analysis, emergency rescue command and protection services. In addition, taking the holographic reality information base, typical disaster situation simulation system, digital battlefield integrated combat command platform as examples, the application of emergency surveying and mapping service system is introduced. The intelligent emergency surveying and mapping service technology is prospected from the directions of the theoretical system of intelligent emergency surveying and mapping, emergency data governance, emergency large model, and active service of intelligent emergency surveying and mapping. Conclusions: Technological advances in the AI era have provided accurate and efficient processing methods for emergency surveying and mapping, enhancing response speed and adaptability to complex situations. Faced with the increasingly severe needs of disaster risk and emergency management, these studies expand and deepen the theoretical basis and application practice of emergency surveying and mapping, and provide a set of systematic, refined and intelligent solutions for emergency management. It enhances the scientific and adaptability of disaster response measures, and also provides a solid theoretical basis and advanced technical support for building a comprehensive disaster management framework.