DOI: https://doi.org/10.5069/G9125QRC OT Collection ID: OT.112018.32641.2 OT Collection Name: 2013 Baluchistan, Pakistan Post-Earthquake Stereogrammetric DEMs Short Name: PostPak13_Barn Collection Platform: Structure from Motion / Photogrammetry ---------------------------------------------------------- Download and Access Products: 1. Raster opentopoID: OTSDEM.112018.32641.2 Data Processing: https://portal.opentopography.org/raster?opentopoID=OTSDEM.112018.32641.2 ---------------------------------------------------------- Collection Overview: This dataset includes a suite of post-seismic 2m resolution DEMs post-dating the 2013 Mw7.7 Baluchistan earthquake. The DEMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/) from DigitalGlobe base imagery (©DigitalGlobe 2018). DEMs were mosaicked and vertically registered using the Ames StereoPipeline (https://ti.arc.nasa.gov/tech/asr/groups/intelligent-robotics/ngt/stereo/). The base imagery included 0.5m and 0.3m resolution panchromatic imagery from QuickBird, GEOEYE, WorldView1, WorldView2, and WorldView3 (©DigitalGlobe 2018). The dataset includes DEMs generated from in-track stereo imagery, as well as DEMs constructed from mixed pairs of non-in-track stereo images. The post-event DEMs are not vertically registered to a pre-existing DEM in order to avoid removal of relative co-seismic offsets between the pre- and post-event pairs. The generation of this dataset was funded by NASA in cooperation with the U.S. Geological Survey. A complete description of the generation of this dataset and the images that were used to construct the DEMs can be found in the associated manuscript: Barnhart WD, Gold RD, Shea HN, Peterson KE, Briggs RW, Harbor DJ (2019) Vertical coseismic offsets derived from high-resolution stereogrammetric DSM differencing: The 2013 Baluchistan, Pakistan earthquake, JGR-Solid Earth. DOI:10.1029/2018JB017107 The naming convention of individual DEMs is detailed in the metadata. Note: The source data for this project are the individual 2 meter DEMs that were constructed with the SETSM open-source software (described above). However, in order to utilize the OpenTopography webmap interface, these DEMs were mosaiced into a single seamless mosaic of post-earthquake topography. Details on how this single mosaic was created are in the metadata. Users are cautioned that files created using the webmap interface will use the averaged, mosaic data. For certain applications, users may wish to utilize the source datasets by downloading the original DEMs via the "Source" directory under the "Bulk Download" section of the OpenTopography website. Dataset Acknowledgement: Barnhart, W. (2018). 2013 Baluchistan, Pakistan Post-Earthquake Stereogrammetric DEMs. Data collection by DigitalGlobe. Funding by NASA, USGS. Distributed by OpenTopography. Dataset Citation: 2013 Baluchistan, Pakistan Post-Earthquake Stereogrammetric DEMs. Distributed by OpenTopography. https://doi.org/10.5069/G9125QRC . Accessed: 2024-04-26 Use License: Not Provided Dataset Keywords: Balochistan earthquake 2013, Hoshab Fault, Pakistan, dem, QuickBird, GEOEYE, WorldView, NASA, USGS, SRTM, seismic, lidar Survey Date: 09/28/2013 - 06/14/2018 Publication Date: 12/17/2018 ---------------------------------------------------------- Data Provider and Roles: 1. DigitalGlobe Role: Collector Url: http://www.digitalglobe.com/ 2. National Aeronautics and Space Administration Role: Funder Url: https://www.nasa.gov/ 3. U.S. Geological Survey Role: Partner Url: https://www.usgs.gov/ ---------------------------------------------------------- Total number of points: N/A Area: 13,176.1 km^2 Point Density: N/A Classifications: Coordinates System: Horizontal: WGS84 / UTM Zone 41N Meters [EPSG: 32641] Vertical: WGS84 [EPSG: 4326] Survey Report: https://cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/Post13Pak_Barn_Metadata.pdf ---------------------------------------------------------- Dataset Extent in KMZ format: https://portal.opentopography.org/getKml?otCollectionID=OT.112018.32641.2&download=true Dataset Spatial Bounds: North: 27.8229488577902° South: 25.8793163436947° East: 65.7097831797274° West: 63.4690026713274°