Southern San Andreas Fault from Painted Canyon to Bombay Beach, CA
收藏portal.opentopography.org2025-01-21 收录
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https://portal.opentopography.org/raster?opentopoID=OTSDEM.092021.32611.1
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<p>This high-resolution topography dataset of the Southern San Andreas Fault (SSAF) includes a point cloud, digital surface model (DSM), and orthomosaic that span ~40 km strike-length of the fault from Painted Canyon south to Bombay Beach, California, USA. The survey width is ~0.5 - 0.7 km, resulting in over 30 km<sup>2</sup> area. The point cloud contains 8.2 x 109 points, and the DSM and orthomosaic resolutions are 10 cm and 4 cm, respectively. Field work was completed over 3 ½ days in February, 2020 when 15773 photographs were acquired with small uncrewed aerial system (sUAS). The final dataset was produced using structure-from-motion (SfM) processing of derived aerial photographs with georeferencing primarily from dGNSS onboard the sUAS. Vertical root-mean-square-error (RMSe) of the DSM is 0.040 m based on 155 checkpoints measured with dGNSS and horizontal RMSe is estimated to be 0.023 m based on 28 checkpoints that incorporated markers visible in aerial photographs. <p> <p>Motivations to produce this open dataset include: the high earthquake hazard posed by the SSAF, the broad scientific interest in the area, the excellent ability to resolve the ground surface with SfM techniques due to the very sparse vegetation, and the complement to the existing B4 lidar data collected in 2005. This work also serves as a test-run for rapid response to a future surface-rupturing event, including the potential for repeat surveys to capture afterslip.</p> <p>Use of the dataset should be acknowledged with authorship information and the DOI (see citation section below). For additional information, please contact Michael Bunds (michael.bunds@uvu.edu). </p>
本高分辨率南方圣安德烈亚斯断层(SSAF)地形数据集包含点云、数字表面模型(DSM)和正射影像,覆盖了从加利福尼亚州美国Painted Canyon南部至Bombay Beach的约40公里断层走向长度。该调查宽度约为0.5至0.7公里,总面积超过30平方公里。点云包含8.2 x 10^9个点,DSM和正射影像的分辨率分别为10厘米和4厘米。实地工作于2020年2月完成,历时3又1/2天,期间利用小型无人驾驶航空系统(sUAS)获取了15773张照片。最终数据集通过结构光束法平差(SfM)处理衍生的航空照片,并主要利用sUAS上的dGNSS进行地理配准而生成。基于155个使用dGNSS测量的检查点,DSM的垂直均方根误差(RMSe)为0.040米,基于28个包含航空照片中可见标记的检查点,水平RMSe估计为0.023米。
制作此公开数据集的动机包括:SSAF所引发的地震高危害性、该地区广泛的科学兴趣、由于植被非常稀疏,SfM技术能够很好地解析地表的能力,以及作为2005年收集的现有B4激光雷达数据的补充。此工作还作为对未来地表破裂事件的快速响应的测试运行,包括重复调查以捕捉余震的可能性。
使用本数据集时,应注明作者信息和DOI(见下文引用部分)。如需更多信息,请联系Michael Bunds(michael.bunds@uvu.edu)。
提供机构:
OpenTopography



