Local 3D scene fine detection analysis of circular landform on the southern edge of Dinosaur Valley

• Published in: Arabian journal of geosciences Vol. 14; no. 18
• Main Authors: Sha, Gao, Xiping, Yuan, Shu, Gan, Milong, Yang, Lin, Hu, Rui, Bi
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01-09-2021; Springer Nature B.V
• Subjects: Altitude; Comparative analysis; Data; Detection; Digital Elevation Models; Earth and Environmental Science; Earth science; Earth Sciences; Elevation; Finite element method; Geological hazards; Geological structures; Geological surveys; Geology; Geomorphology; Image resolution; Investigations; Landforms; Low altitude; Measurement; Motion perception; Mountainous areas; Photogrammetry; Prevention; Resolution; Review Paper; Risk assessment; Scene analysis; Surface analysis (chemical); Surveying; Technical services; Technology; Tectonics; Three dimensional analysis; Three dimensional models; Unmanned aerial vehicles; Valleys; Washout; Three-dimensional model; Geomorphological analysis; UAV; DEM; DSM
• ISSN: 1866-7511; 1866-7538
• DOI: 10.1007/s12517-021-08101-3

With the continuous advancement of low-altitude UAV (unmanned air vehicle, UAV) technology for the earth observation and its wide popularity, UAV photogrammetry and SfM (Structure from Motion, SfM) methods have received more and more attention as the latest means to obtain true 3D realistic models of the survey area. As the newest means of measuring geomorphological information, UAV low-altitude photogrammetry and SfM methods can quickly obtain a true 3D realistic model of the survey area, and have been applied to a number of research fields. In this paper, the UAV is used to measure the typical local scene of annular landform at the southern edge of Dinosaur Valley in Lufeng, and the high-resolution geomorphological image data of the investigated area are obtained. Combined with the SFM method, a realistic 3D scene model is constructed, and its geomorphological characteristics are discussed and analyzed. The experimental results show that the DSM (digital surface model, DSM) data based on the SFM method can obtain ground points by filtering, diluting, and classifying the data, and the DEM (digital elevation model, DEM) data with a resolution of 0.2m is constructed by using the progressive encrypted triangular mesh method, which can accurately represent the true geomorphological characteristics of the study area. (2) Construction of three typical elevation profiles of the circular scene “inner-middle-outer,” and comparative analysis of the profiles confirmed that the topography of the study area is characterized by the dome ridge line AA' as the main highland ridge line, showing a circular “basin margin” pattern, with gradually decreasing elevations on the inner and outer sides. (3) In order to reveal the complex tectonic geomorphological features of the external scene between the ridge and trough, the ArcGIS surface analysis method was used to extract the ridge lines J1-J7. Accurate quantitative measurements and analysis were carried out to investigate the slope, slope length, slope direction, ridge area face, and other related parameters. (4) Using the multi-view visual interpretation and typical scene analysis of the three-dimensional 3D model, micro-geomorphological features such as the development of washouts in the survey area and the nodal laminar surface of the geological body can be clearly identified. In addition, the coordinates of the geological body’s spatial location and its production, spreading area, square volume, and other rich geological information can be accurately obtained. Through the above experimental study on the detection of 3D scenes of landforms, the advantages of UAV measurement technology and SFM method to construct DSM data and 3D scene models in fine geological structure detection are demonstrated. This will have an important application prospect and practical value for geological survey, monitoring , prevention and control management in mountainous areas .In addition, the fast, low-cost, high-precision, and non-contact measurement mode can provide accurate data basis and technical support for geological structure detection, geological disaster investigation, risk assessment and prevention and control management.