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.
A new lidar dataset covering 53 km2 over the McLeod Springs Wash in Nevada is now available on OpenTopography. This lidar dataset was collected by the National Center for Airborne Laser Mapping (NCALM) as part of the Seed grant program for Michael Hasson at Stanford University. This dataset was collected to help analyze morphodynamics of an unvegetated meandering river.
A new lidar dataset covering 61 km2 over Padre Island, TX is now available on OpenTopography. This lidar dataset was collected by the National Center for Airborne Laser Mapping (NCALM) as part of the Seed grant program for Kenton Fisher at Texas A&M University. This dataset was collected to help analyze changes in the sand budget, elevation, and geomorphic facies of Padre Island.
OpenTopography has updated the LINZ dataset over Westport, New Zealand with new data that now covers over 6000 km2 along the west coast of the South Island. This collection is part of the South Island, West Coast regional lidar survey, and is the first dataset that was collected as part of the Provincial Growth Fund (PGF)-LiDAR project.
