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Application of UAV 3D Photogrammetry Model in Disaster Prediction and Geological Mapping

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DOI: 10.23977/EECTM2020.020

Author(s)

Zhongtan Li, Linfu Xue and Jiwen Liu

Corresponding Author

Zhongtan Li

ABSTRACT

Using traditional methods to predict and investigate geological hazards is a costly work, so we propose to use UAV imaging technology to improve work efficiency and reduce work costs. Unmanned aerial vehicle (UAV) low-altitude photography system can quickly acquire high quality and high resolution remote sensing images, especially in small regions and areas with complex geomorphological and meteorological conditions. The digital elevation model (DEM), the digital orthophoto map (DOM) and the three-dimensional digital model are generated by the data processing of the remote sensing image data obtained from the unmanned aerial vehicle (UAV). Then through the establishment of relevant geohazard interpretation indicators for geological hazards interpretation and disaster background analysis. This not only improves the accuracy of interpretation, but also endows the geological hazard body with measurability. At the same time, it provides the basic data for quantitative research and analysis of geological hazard.

KEYWORDS

UAV, 3D model, photogrammetry, disaster prediction

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