Abstract: Slope collapse and erosion is severe in South China.As a key part of prevention work,slope collapse investigation requires long-term periodical repetition; hence the manpower, material and time costs of traditional in-vestigation method are very high, which limits the extensive implementation of investigation. In this article, an
efficient method of investigating slope collapse based on unmanned aerial vehicle (UAV) remote sensing is proposed based on a summary of traditional investigation methods. Through reconstructing the geomorphology of the slope collapse areas with UAV aerial images, Digital Orthophoto Map (DOM), Digital Surface Model (DSM), and three-dimensional model can be generated, transferring the cumbersome field investigation work into indoor model measurement and manual interpretation. The feasibility and efficiency of the proposed method are demonstrated by three experiments. And the advantages of the present method are discussed in terms of information quantity, accuracy, efficiency, and cost.

Key words: slope collapse, UAV, remote sensing, DOM, DSM