OpenTopography is pleased to announce the release of an updated 2019 lidar dataset, collected by the National Center for Airborne Laser Mapping (NCALM) and funded by the U.S. Geological Survey (USGS) and the U.S. National Science Foundation (NSF EAR-1945781 & EAR-1945754), covering 784 km2 of the region impacted by the 2019 Ridgecrest earthquake sequence in southern California. This new release adds data over Naval Air Weapons Station China Lake, and now covers the main surface fault ruptures of both the M 6.4 and M 7.1 Ridgecrest earthquake sequence. In addition, all data have now been filtered to differentiate ground from other returns by NCALM.
Get the data:
Ridgecrest M 7.1 mainshock surface rupture at China Lake playa, along a roughly 3.5 km section including measured right-lateral fault displacements from 2.5 up to roughly 5 meters.
Slider Image 1: (left image) airborne lidar elevation indicated by color, in which the full range from red to blue totals 3.5 meters, and (right image) digitized traces interpreted solely using the lidar imagery.
Slider Image 2: (left image) airborne lidar elevation indicated by color, in which the full range from red to blue totals 3.5 meters, and (right image) digitized traces interpreted solely using the lidar imagery.
Slider Image 3: (left image) airborne lidar hillshade, using a N50E azimuth & 70 degree inclination angle of illumination, and (right image) digitized traces interpreted solely using the lidar imagery.
These images may be reproduced, and layers directly manipulated using the gradient tool, and at even higher resolution; click here to download a KMZ file for use in Google Earth or similar applications.
Citation:
Hudnut, K. W., B. A. Brooks, K. Scharer, J. L. Hernandez, T. E. Dawson, M. E. Oskin, J. Ramon Arrowsmith, C. A. Goulet, K. Blake, M. L. Boggs, S. Bork, C. L. Glennie, J. C. Fernandez-Diaz, A. Singhania, D. Hauser and S. Sorhus (2020). Airborne Lidar and Electro-Optical Imagery along Surface Ruptures of the 2019 Ridgecrest Earthquake Sequence, Southern California, Seismological Research Letters, doi: 10.1785/0220190338.