UCLA UAV Imaging

UAV's were deployed to gather images of the surface fault rupture for the M7.1 earthquake south of Highway 178, and to gather images of Trona and Argus where liquefaction and lateral spreading features were observed. Structure from Motion (SfM) was utilized to create point clouds, and digital surface models were fit to the point cloud data. The point clouds, ortho mosaics, and digital surface models are the work products made available here.

为获取178号公路以南M7.1级地震的地表断层破裂图像，以及采集观测到液化与侧向扩展现象的特罗纳（Trona）和阿格斯（Argus）区域的影像，相关团队部署了无人机（Unmanned Aerial Vehicle, UAV）。随后采用运动恢复结构（Structure from Motion, SfM）技术生成点云，并基于点云数据构建数字表面模型。本次公开的成果包括点云、正射影像镶嵌图与数字表面模型。

搜集汇总

背景与挑战

背景概述

该数据集聚焦于2019年Ridgecrest地震序列的地表变形特征，通过无人机影像和SfM技术，提供了断层破裂、液化及侧向扩展的高精度三维模型和影像资料，支持地质灾害研究和工程评估。