GPS-RTK Mapping Technology in Remote Sensing Dynamic Monitoring of Geological Disasters Under Artificial Intelligence Technology

With the continuous advancement of artificial intelligence technology, Global Positioning System (GPS) technology has been widely used in the field of geological disaster monitoring. The use of remote sensing satellites to perform real-time dynamic monitoring and processing of topographic maps has made significant progress in geological disaster monitoring. This article combines the current research status of domestic and foreign scholars in landslide prevention and vegetation restoration, and analyzes the characteristics of remote sensing image data and finds that traditional ground surveying and mapping methods cannot meet accuracy requirements and have certain limitations. In response to this situation, this article proposes a new solution, which is an online geological disaster identification technology that combines three-dimensional space digitization with a Real Time Kinematic (RTK). This technology uses the GPS-RTK system to automatically obtain geomorphological information to improve the efficiency and accuracy of geological disaster monitoring work. The test results show that the system’ s prediction accuracy is between $91 \%$ and $97 \%$, its error rate is within $10 \%$, and its throughput range is between 4506 k and 6349 k; the average response time is 4.8 s, the average delay time is 2.4 s, and the average data processing efficiency is $93.8 \%$. Based on the above test results, the dynamic monitoring performance of the geological disaster smoke sensor meets the needs of users.