Abstract
Abstract. Because of the advantages of low-cost, lightweight and photography under the cloud, UAVs have been widely used in the field of seismic geomorphology research in recent years. Earthquake surface rupture is a typical seismic tectonic geomorphology that reflects the dynamic and kinematic characteristics of crustal movement. The quick identification of earthquake surface rupture is of great significance for understanding the mechanism of earthquake occurrence, disasters distribution and scale. Using integrated differential UAV platform, series images were acquired with accuracy POS around the former urban area (Qushan town) of Beichuan County as the area stricken seriously by the 2008 Wenchuan Ms8.0 earthquake. Based on the multi-view 3D reconstruction technique, the high resolution DSM and DOM are obtained from differential UAV images. Through the shade-relief map and aspect map derived from DSM, the earthquake surface rupture is extracted and analyzed. The results show that the surface rupture can still be identified by using the UAV images although the time of earthquake elapse is longer, whose middle segment is characterized by vertical movement caused by compression deformation from fault planes.
Highlights
After the devastating earthquake, the intense tectonic movement often results in the surface rupture on a certain scale
With the further development of UAV platform and image processing method base on computer vision, it has become the focus for many scholars to use the high overlap degree of UAV images to reconstruct 3D scenes and use highprecision digital elevation model to study the active tectonics
Taking the surface rupture near extreme earthquake disaster area caused by Wenchuan Ms 8.0 earthquake as an example, this paper uses the recent acquisition of UAV images with differential POS data and uses the multi-vision 3D reconstruction technology to obtain the high accuracy of surface terrain information of rupture for extraction research
Summary
The intense tectonic movement often results in the surface rupture on a certain scale. With the further development of UAV platform and image processing method base on computer vision, it has become the focus for many scholars to use the high overlap degree of UAV images to reconstruct 3D scenes and use highprecision digital elevation model to study the active tectonics. The above research results show that the UAV image can obtain high-resolution 3D digital elevation information for active structural information identification and analysis. Taking the surface rupture near extreme earthquake disaster area (former Beichuan County) caused by Wenchuan Ms 8.0 earthquake as an example, this paper uses the recent acquisition of UAV images with differential POS data and uses the multi-vision 3D reconstruction technology to obtain the high accuracy of surface terrain information of rupture for extraction research
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