Automatic Identification Technology of Gullies Based on Drone Aerial Photography Data

In the field of seismic exploration, the complex gully terrain in the southwestern mountainous area is prone to triggering geological disasters such as landslides and mudslides, which pose a threat to the safety of seismic acquisition construction and the quality of data. Traditional manual surveying and conventional remote sensing methods are difficult to meet the requirements of high-precision and high-timeliness terrain recognition, and there is an urgent need for breakthroughs in innovative technologies. This paper obtains high-precision Digital Elevation Model (DEM) data based on a UAV (Unmanned Aerial Vehicle) aerial photography system. It constructs an automatic identification index system for gully terrain that covers multiple dimensions such as terrain morphology and hydrological characteristics. It deeply analyzes the influence mechanisms of important features like slope, aspect, and catchment area on the development of gullies, and constructs a gully identification algorithm model that integrates digital terrain analysis and hydrological analysis. This model is capable of identifying the boundaries and morphology of gullies, effectively avoiding the subjectivity of manual interpretation and the limitations of traditional algorithms. The research results of this paper provide scientific and efficient technical support for seismic exploration construction in the southwestern mountainous area, and have important theoretical value and practical significance for promoting technological innovation and safe production in the field of seismic exploration.