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:
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.