Lidar dataset collected for the five islands comprising Channel Islands National Park. This includes all of the islands of San Miguel, Santa Rosa, Anacapa, Santa Barbara, and Santa Cruz. The project totals about 288 square miles (747 square kilometers). Elevation data were delivered in 2,000m x 2,000m tiles with 280 tiles produced. Deliverables include LAS 1.2 files (classified and raw), digital elevation model, digital surface model, control data, and metadata. Full waveform data were also collected over the entire project area.Data were collected using a Riegl LMS-Q560 laser scanner flown from a helicopter. Helicopters were also used to establish ground control on all five islands. Personnel from National Park Service and The Natural Conservancy (which owns most of Santa Cruz Island) accompanied the survey team to ensure minimal impact to habitat. To assist with positional accuracy, continuously operating reference stations (CORS) on each island were modified by UNAVCO from a 15 second to a one second sampling rate during the collection period. Nominal single swath point density was three points per square meter (seven points with 50% overlap).

Airborne lidar data were collected with the Optech Titan multispectral sensor of the McMurdo Dry Valleys, Antarctica during the austral summer of 2014-2015 as part of an effort to understand geomorphic changes over the past decade. Lidar point density varied from 2 to >10 returns per m2 with an average of about 5 returns per m2. Vertical and horizontal accuracies are estimated to be 0.07 m and 0.03 m, respectively. The lidar coverage comprises roughly 3600 km2 with includes the bottoms and sides of Taylor, Pearse, Wright, Victoria, Mckelvey, Barwick, and Valham valleys, Bull Pass, in addition to other ad hoc regions nearby including the Pegasus flight facility and two regions on Ross Island, McMurdo Station/Scott Base (and surroundings), and the coastal margin between Cape Royds and Cape Evans.A detailed description of the survey can be found in the Earth System Science Data publication High-resolution elevation mapping of the McMurdo Dry Valleys, Antarctica, and surrounding regions (Fountain et al., 2017).

This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019).

This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019).