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Feb 1, 2017
OpenTopography is proud to announce the availability of three new global topographic datasets: SRTM GL1 (30m Ellipsoidal) is a version of the popular Shuttle Radar Topography Mission dataset where elevation values are WGS84 ellipsoidal height as opposed to the standard orthometric, or geoid-referenced, elevation. OpenTopography constructed this dataset by subtracting the EGM96 geoid model from the standard SRTM GL1 data. This dataset was produced primarily to support the InSAR community and their need for ellipsoidal referenced DEMs for terrain correction, although we suspect other users... more
Dec 9, 2016
Continuing our collaboration with Land Information New Zealand (LINZ), OpenTopography is pleased to announce the availability of lidar point cloud data from the coast near Kaikoura, Northern Canterbury, New Zealand. These data cover the region heavily impacted by the 14 November 2016 M7.8 Kaikoura Earthquake and represent an important topographic measure of the landscape prior to the significant vertical and horizontal displacements that occurred during the event. The data were collected by Aerial Surveys and their subcontractors, and were provided to OpenTopography by LINZ. Get the data:... more
Dec 9, 2016
Come connect with OpenTopography at the 2016 American Geophysical Union meeting in San Francisco! OpenTopography will be in booth #513 on "NSF Street" in the exhibit hall. The booth is shared with the National Center for Airborne Laser Mapping (NCALM). Our booth is staffed by the OpenTopography team and community members, and is a great chance to ask questions, provide feedback, or to discuss lidar, high resolution topography, and cyberinfrastructure. Exhibit hall hours are: Monday, 12 December, 6:00 P.M.-8:00 P.M. (Ice Breaker Reception) Tuesday-Thursday, 13-15 December, 9:30 A.M.–5:00 P.M.... more
Nov 2, 2016
OpenTopography is happy to announce the release of over a dozen new datasets. Eight of these datasets were collected by the National Center for Airborne Laser Mapping (NCALM) as part of their seed grant program. NCALM is 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. The release of these data via... more
Sep 9, 2016
OpenTopography is pleased to announce the release of two new photogrammetric datasets derived from the Pleiades 1A and 1B satellites. These datasets are unique among those provided through OpenTopography, as the point clouds were created using stereo imagery taken from space and not using lidar technology. El Mayor-Cucapah Earthquake, Pleiades 2014 On April 4, 2010 a 7.2 Mw earthquake shook upper Baja California, just south of the US-Mexico border. The earthquake resulted in extensive damage to buildings in the area, causing an estimated $1.15 billion in damage. For more information on the... more
Aug 26, 2016
OpenTopography is pleased to announce the release of two new datasets in New Zealand. Marlborough Fault System, South Island, New Zealand The Marlborough Fault System is a set of major faults on New Zealand's South Island. The fault system accommodates a stepover in the boundary between the Pacific and Australian tectonic plates. The lidar data were collected by the U.S. National Center for Airborne Laser Mapping (NCALM) in collaboration with New Zealand Aerial Mapping for PI James F. Dolan, University of Southern California. High resolution ( ≥ 12 shots/m2) data were collected over parts of... more
Aug 11, 2016
OpenTopography is pleased to announce the release of a number of updates and improvements to the OpenTopography system. This release adds several new features to enhance data discovery, processing, and site usability. Release Notes: In addition to bug fixes and minor updates, this release includes the following features: Enhanced site search The new all-in-one search box allows the user to search data, tools, and site content. The data and site searches were previously in separate locations. You can now search metadata for over 200 datasets and 50 tools, in addition to OpenTopography's... more
Jul 26, 2016
We're pleased 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. The award, “Collaborative Research: OpenTopography -- A Cyberinfrastructure Facility for Topographic Data, Services, and Knowledge” from the NSF’s Division of Earth Sciences, provides $1.365 million during the next two and-a-half years for the third phase of the project (OT3) managed by the San Diego Supercomputer Center (SDSC) at UC San Diego; Arizona State... more
Jul 12, 2016
Over the past several months OpenTopography has released eight new datasets. Six of these datasets were collected by the National Center for Airborne Laser Mapping (NCALM) as part of their seed grant program. NCALM is 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. The release of these data via... more
Jun 8, 2016
OpenTopography, in collaboration with the Boise State University Boise Center Aerospace Lab (BCAL) and NEON, will be teaching a short course this fall on Topographic, Geomorphic, and Vegetation Analysis with Lidar. This workshop is part of a series of NSF/NEON supported training on the use of datasets from the NEON Airborne Observing Platform to enable new discoveries in the biophysical research community. Applications are also being accepted for a related short course focused on NEON-hyperspectral data. Description: This 3-day course taught by OpenTopography and NEON lidar experts will... more

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