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Aug 26, 2020
We have recently migrated hosting of OpenTopography’s bulk data from the San Diego Supercomputer Center (SDSC) data storage cloud (OpenStack Object Storage) to their Universal Scale Storage (USS) service offering. USS is a managed service of Qumulo’s hybrid cloud file storage provided by SDSC that offers better performance and is highly scalable. Migration of OpenTopography’s bulk storage to the USS service improves overall security, enables detailed usage metrics while lowering operational expenses. USS also supports multiple pathways of access including via S3 interface. Users who have... more
Aug 24, 2020
We're happy to announce that the National Science Foundation (NSF) has renewed funding for OpenTopography, a science gateway that provides online access to Earth science oriented high-resolution topography data and processing tools to a broad user community advancing research and education in areas ranging from earthquake geology to ecology and hydrology. The award, Collaborative Research: OpenTopography - A cyberinfrastructure facility for advancing geoscience research and education, provides $2.55 million over four years for the fourth generation of the project. OpenTopography was founded... more
Aug 12, 2020
New lidar datasets throughout the US have been added to the publicly accessible, USGS 3DEP Amazon Web Services (AWS) bucket, and are now available through OpenTopography. This latest release expands the coverage by an additional 108 datasets, or 3.7 trillion new lidar points. The over 480,000 km2 of new data include coverage the following states: Alaska, Alabama, Arizona, California, Connecticut, Florida, Georgia, Idaho, Illinois, Kansas, Louisiana, Maine, Michigan, Nebraska, New Mexico, Nevada, Ohio, Oklahoma, Pennsylvania, Puerto Rico, Tennessee, Texas, Virginia, Vermont, and Wisconsin.... more
Aug 3, 2020
OpenTopography is pleased to announce the release of two new lidar datasets covering over 800 km2 in New Zealand. Lidar was captured in January 2020 around the region of Hamilton City on the North Island. Another dataset was collected over the South Island between November 2018 and February 2019, and covers the Motueka River Valley, Betty's Beach and Eve's Valley. These datasets are available through on ongoing collaboration between OpenTopography and Land Information New Zealand (LINZ), that makes OpenTopography the primary distribution platform for point cloud data collected as part of the... more
Jul 21, 2020
OpenTopography is pleased to announce the release of two new lidar datasets covering over 1200 km2 in New Zealand. Lidar was captured in January 2020 around the region of Balclutha, Otago on the South Island. Another dataset was collected between December 2018 and April 2019, and covers portions of the Bay of Plenty on the North Island. These datasets are available through on ongoing collaboration between OpenTopography and Land Information New Zealand (LINZ), that makes OpenTopography the primary distribution platform for point cloud data collected as part of the LINZ national elevation... more
Jul 21, 2020
OpenTopography is pleased to announce the release of two digital surface models (DSMs) that are mosaics of two meter resolution stereogrammetric DSMs constructed using DigitalGlobe base imagery (©DigitalGlobe 2019) acquired before and after the July 2019 Ridgecrest, California earthquake sequence. These datasets cover over 8,000 km 2 of the region surrounding the recent earthquakes, and provide a unique opportunity for research of this event. The datasets were produced by William Barnhart, University of Iowa. Get the data: 2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model V2 2019... more
Jul 13, 2020
OpenTopography is pleased to announce the release of three new NCALM SEED datasets covering areas of California, and Mexico. These datasets were collected by NCALM, an NSF-funded center that supports the use of airborne laser mapping technology (a.k.a. lidar) in the scientific community and is jointly operated by the Department of Civil & Environmental Engineering, Cullen College of Engineering, University of Houston and the Department of Earth and Planetary Science, University of California, Berkeley. OpenTopography is the primary distributor of NCALM data. Get the data: Normal Fault... more
Jul 9, 2020
OpenTopography has just released a new Structure from Motion (SfM) dataset that contains high resolution topography and orthomosaic imagery along three normal fault scarps in the Volcanic Tablelands near Bishop in Eastern California. In the Volcanic Tablelands, normal faults create prominent scarps that offset the Bishop Tuff. This area has been the focus of a number of studies on fault zone structural geology and geomorphology. Data was collected via uncrewed aerial vehicle (UAV) imagery over three fault scarps each with length of 2-4 km for a total area of approximately 4 km2. Get the... more
Jun 17, 2020
OpenTopography is guided by an advisory committee which represents OpenTopography users and partners and provides valuable input on decisions related to OpenTopography priorities for data ingestion, interoperability relationships, algorithm and tool deployment, collaborations, and education and community engagement. We seek a graduate student (M.S. or Ph.D.) to join the advisory committee and represent the interests of emerging scientists who interact with OpenTopography. Responsibilities are participation in quarterly committee meetings. Under non pandemic conditions, one of the quarterly... more
Jun 17, 2020
OpenTopography is pleased to announce the release of a new lidar dataset covering approximately 143 km2 in the San Gabriel Mountains and 183 km2 in the San Jacinto Mountains. This dataset was collected by NCALM, an NSF-funded center that supports the use of airborne laser mapping technology (a.k.a. lidar) in the scientific community and is jointly operated by the Department of Civil & Environmental Engineering, Cullen College of Engineering, University of Houston and the Department of Earth and Planetary Science, University of California, Berkeley. This project was funded jointly by the... more

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