News
Sep 15, 2021
A new lidar dataset covering approximately 815 km2 of Abel Tasman National Park in Tasman, New Zealand is now available on OpenTopography. The dataset has an average point density of 13.89 pts/m2, and the survey area includes Abel Tasman National Park, Kahurangi National Park, and the Takaka Hill and surrounding area. The lidar was captured for the Tasman District Council by Aerial Surveys, with data management and distribution by Toitū Te Whenua Land Information New Zealand. This dataset is available through on ongoing collaboration between OpenTopography and LINZ that makes OpenTopography... more
Sep 14, 2021
OpenTopography is excited to introduce our latest on-demand processing tool which allows users to create custom contour line vector files from lidar point clouds or raster products. Contours can be output in shapefile, DXF, or Geopackage formats. This tool can be applied to most datasets available from OpenTopography including high-resolution lidar point cloud and raster datasets as well as USGS 3DEP point clouds. The tool first generates a DEM using the TIN (Triangulated Irregular Network) interpolation algorithm. To minimize noise, this raster is then smoothed depending on user-controlled... more
Sep 10, 2021
OpenTopography is pleased to release a new structure from motion (SfM) photogrammetry dataset that covers ~40 km of the Coachella section of the Southern San Andreas Fault. The data extend from north of Painted Canyon south to Bombay Beach, California, USA and include a well-georeferenced point cloud (8.4 x 109 points), 10 cm DSM, and 4 cm orthomosaic. The contribution is the result of a collaborative effort between Utah Valley University (UVU) and Arizona State University and was supported by a Southern California Earthquake Center award to Chelsea Scott and funding from UVU to Michael Bunds... more
Sep 8, 2021
Three new lidar datasets collected by the National Center for Airborne Laser Mapping (NCALM) in California and Oregon are now available on OpenTopography. A repeat lidar dataset of Antelope Valley, CA covering approximately 24 km2 was collected by NCALM for Dr. William Dietrich at the University of California, Berkeley. The data were collected over Antelope Valley Ranch, ~60 km west of Yuba City, CA. Previous mapping of this area was completed in 2017, details of which can be found here.
The second NCALM lidar dataset released covers approximately 66 km2 northwest of Santa Barbara, CA and... more
Sep 7, 2021
A new lidar dataset covering approximately 4,840 km2 of Malborough, New Zealand, including Marlborough Sounds, Picton, Wairau Valley and the surrounding area, is now available on OpenTopography. The dataset has an average point spacing of 9.32 pts/m2 and was funded by the Marlborough District Council with data management by Toitū Te Whenua Land Information New Zealand (LINZ). This dataset is available through on ongoing collaboration between OpenTopography and LINZ that makes OpenTopography the primary distribution platform for point cloud data collected as part of the LINZ national... more
Sep 2, 2021
Digital Terrain Model (DTM) and orthophotos are now available for the entire country of Haiti on OpenTopography. These datasets cover an area of approximately 29,239 km2, with raster and orthophoto resolution of 1.5 m and 0.25 m, respectively. These data were collected between 2014–2016 in a project led by Centre National de l'Information Géo-Spatiale (CNIGS) with funding from the World Bank. These data were accessed from HaitiData.org. OpenTopography is redistributing this data in order to aid the recovery and research efforts for the August 14, 2021 M 7.2 Haiti earthquake. We initially... more
Sep 2, 2021
OpenTopography is pleased to announce that we're now offering access to USGS 3D Elevation Program (3DEP) Standard Digital Elevation Models (DEMs) through our easy to use web-based interface with associated processing and visualization tools. USGS 3DEP DEMs are available at 1 arc-second (~30m), 1/3 arc-second (~10m), and 1-meter.
USGS 3DEP Standard DEMs represent the topographic surface of the earth and contain flattened water surfaces. Each DEM dataset is identified by its horizontal resolution and is produced to a consistent set of specifications. The elevations in these DEMs represent the... more
Sep 1, 2021
OpenTopography is pleased to announce the release of a new lidar dataset covering 166 square kilometers of Queenstown and Arrowtown on the South Island of New Zealand. The dataset, "Queenstown, Otago, New Zealand 2021" has an average point spacing of 7.8 pts/m2, and was funded by the Queenstown Lakes District Council , with data management by Toitū Te Whenua Land Information New Zealand (LINZ). This dataset is available through on ongoing collaboration between OpenTopography and LINZ, that makes OpenTopography the primary distribution platform for point cloud data collected as part of the... more
Aug 26, 2021
OpenTopography is pleased to announce the release of a new lidar dataset covering approximately 78 km2 near Hendersonville, North Carolina. This dataset was collected as part of an NCALM Seed grant for Dr. Corey Scheip at North Carolina State University to evaluate regional landslide area-volume scaling relationships after a large rainfall-triggered mass wasting event in western North Carolina. This project focused on how debris flows initiate, bulk, and deposit as a function of topographic variables. Data were collected by NCALM, an NSF-funded center that supports the use of airborne laser... more
Aug 13, 2021
OpenTopography is pleased to announce the release of a new lidar dataset covering 444 square kilometers of Whanganui and the surrounding area on the North Island of New Zealand. The dataset, "Whanganui Urban, Manawatu-Whanganui, New Zealand, 2020-2021" has a large average point spacing of 16.58 pts/m2, and was funded by Whanganui District Council, with data management by Toitu Te Whenua Land Information New Zealand. This dataset is available through on ongoing collaboration between OpenTopography and Land Information New Zealand (LINZ), that makes OpenTopography the primary distribution... more
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