OpenTopography will be hiring at least one Data Science intern this summer via the EarthScope Student Careers Internship Program (formerly known as USIP). The intern(s) will work with the OpenTopography team to develop workflows and services related to processing, analysis, and/or visualization of topographic data managed by OpenTopography (https://opentopography.org/).
OpenTopography has recently added 3 new datasets over New Zealand that collectively cover over 28,000 km 2. The datasets cover the Canterbury region of the South Island, and the Taranaki and Northland regions of the North Island. These datasets are available through an ongoing collaboration between OpenTopography and LINZ that makes OpenTopography the primary distribution platform for point cloud data collected as part of the LINZ national elevation program.
Find the data here:
We're pleased to announce that NOAA's Coastal Lidar Data holdings are now available to academic users of OpenTopography. This new functionality enables access to over 800 new datasets, covering almost 1.4 million km2 (6.92 trillion points), with additional data to be added as they become available. The OpenTopography platform adds value to these NOAA data by improving access and providing processing capabilities for subsetting, gridding, visualization, and hydrologic terrain analysis.
Connect with OpenTopography at the 2022 American Geophysical Union meeting in Chicago, IL! OpenTopography will be in booth #1318 in the "NSF Neighborhood" in the exhibit hall. Our booth is staffed by the OpenTopography team and is a great chance to ask questions, provide feedback, or to discuss lidar, high resolution topography, and cyberinfrastructure.
Stop by the booth to see the latest in OpenTopography:
OpenTopography is pleased to provide access to a unique Digital Terrain Model (DTM) for Continental Europe. Dr Tom Hengl at the OpenGeoHub foundation and his colleagues developed an Ensemble Machine Learning (EML) algorithm to predict the bare-earth terrain using publicly available Digital Surface Models (e.g. MERITDEM, AW3D30, GLO-30, EU DEM, GLAD canopy height). The EML was trained using over 9 million GEDI and ICESat-2 ground elevations.
OpenTopography invites you to join us for a series of weekly hour-long webinars beginning in March 2023. During the webinars, we will teach the basics of lidar, demonstrate how to use OpenTopography's growing set of on-demand processing tools, and present available resources and educational materials. The majority of the webinars will be a combination of a lecture on background material and a hands-on demonstration where participants will have the opportunity to use OpenTopography's tools to process and visualize topography data.
OpenTopography and the WIFIRE Lab at UC San Diego have started work on a new collaborative effort to streamline access to approximately 60 federally funded California high resolution lidar datasets in both point cloud and raster formats. These datasets were collected by agencies such as the US Forest Service and have not been previously accessible online.
