Collection Overview:
This digital surface model (DSM) data set is a mosaic of 2 m resolutions stereogrammetric DSMs acquired prior to the July 2019 Ridgecrest, California earthquake sequence. The DSMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/ (Noh and Howat, 2015)) produced using DigitalGlobe Inc. base imagery (©DigitalGlobe 2018).
73 DSM strips were vertically registered to ICESat-1 observations during the mosaicking process (see metadata file for RMS fits to ICESat-1). The base images are ~0.5 m resolution in-track stereo panchromatic imagery from the Worldview-01 and -02 and GeoEye-01 satellites that remain the property of DigitalGlobe Inc.
Processing Groups:
- Michael J. Willis, CIRES, University of Colorado, Boulder.
- Ryan Cassotto, CIRES, University of Colorado, Boulder.
- James Klassen, SharedGeo. This work is supported by award numbers: F18AC00807F and F18AC00038
- Jennifer Corcoran, Minnesota Department of Natural Resources. This work is supported by USFS LSR grant number: 17-DG-11420004-273.
- Trevor Host, University of Minnesota.
- Brian Huberty, US Department of Fish and Wildlife. This work is supported by a FWS GLRI award.
- Keith Pelletier, University of Minnesota.
- Joseph F. Knight, University of Minnesota.
Dataset Acknowledgement: This is a pre-release of a larger data set of California (CaliDEM) that will be fully submitted to OpenTopography later.
Willis, MJ; Barnhart, WD; Cassotto, R; Klassen, J; Corcoran, J; Host, T; Huberty, B., Pelletier, K., Knight, J.F.,
CaliDEM: Ridgecrest, CA Region 2m Digital Surface Elevation Model. Funding by NSF and USGS. Data collection by DigitalGlobe.
This work utilized the RMACC Summit supercomputer at the University of Colorado, Boulder, which is supported by the National Science Foundation (awards ACI-1532235 and ACI-1532236), the University of Colorado Boulder, and Colorado State University. The Summit supercomputer is a joint effort of the University of Colorado Boulder and Colorado State University.
This research uses, in part, the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.
Dataset Citation:
2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model. Distributed by OpenTopography. https://doi.org/10.5069/G998854C . Accessed: 2024-12-09
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Use License: Not Provided
Dataset Keywords: Southern California, Eastern California Shear Zone, Ridgecrest Earthquake, lidar
Survey Date: 12/14/2007 - 10/21/2016
Publication Date: 07/09/2019