Between September 2008 and September 2009, data were collected along the Kern Canyon fault starting south-east of Bakersfield and extending north to the southern end of Kings Canyon National Park. This dataset has helped identify late Quaternary deformation, and other seismogenic processes that are occurring within this section of the Sierra Nevadas. In addition, lidar derived topographic data was used for interpretation, analysis and mapping of floodplains along Isabella Lake, as well as the Kern River and its tributaries. For additional information about this dataset and related geologic investigations, see: C.C. Brossy, K.I. Kelson, C.B. Amos, J.N. Baldwin, B. Kozlowicz, D. Simpson, M.G. Ticci, A.T. Lutz, O. Kozaci, A. Streig, R. Turner, R. Rose; Map of the late Quaternary active Kern Canyon and Breckenridge faults, southern Sierra Nevada, California. Geosphere ; 8 (3): 581:591. doi: https://doi.org/10.1130/GES00663.1

This release includes lidar point cloud and Wolman pebble count data for a debris-flow deposit in Glenwood Canyon, CO. The data, FullDepositRegion.las (las 1.2), were collected with a terrestrial laser scanner and includes the full deposit and portions of the slope and drainage that generated the debris flow. This .las file includes point cloud data up to 250 m upslope of the deposit, though the data are sparse at distances greater than 60 m from the deposit due to slope geometry and shadowing. The data TrainingRegion.txt includes an 83 m^2 subregion of the .las point cloud that has been manually divided into granular materials >6.3 cm (clast) and <6.3 cm (matrix) in size along the intermediate particle axis. Each particle >6.3 cm in size received an index that was applied to all points belonging to that particle as described in the column header details. The PebbleCount.csv data contains 150 particle size measurements collected at the debris-flow front, obtained with a gravelometer (<18 cm) or measuring tape (>18 cm).

Lidar data was collected over the Kern Plateau in the Sequoia National Forest, California for the USDA Forest Service between August 13th – 18th, 2011. The Kern Plateau project area covers over 134,00 acres (>544 km2).

This lidar dataset was collected as part of an NCALM Seed grant for Collin Roland at the University of Wisconsin. This study used airborne lidar to assess Lake Michigan coastal erosion by measuring the geomorphic response to extremely high lake levels. The study area is along the coast of Lake Michigan, east of Milwaukee, WI and covers approximately 84 km2.

Lidar was collected in April 2013 over Bluff Creek in Northern California for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers roughly 4145 acres ( ~16 km2)

This lidar dataset was collected as part of an NCALM Seed grant for Thomas Herbst at the University of Missouri. This project explored Lava Domes, and mapped a portion of the Lassen Volcanic Center in Lassen Volcanic National Park, California. The dataset was collected in 2019 and covers roughly 55 km 2

This lidar dataset was collected by NCALM for Sally Thompson at the University of California, Berkeley. This study aims to assess the occurrence and characteristics of post-fire erosion gullies caused by the Empire Fire in Illilouette Creek Basin, California. The study area covers approximately 74 km2 in Yosemite National Park, California.

High-resolution Lidar survey covers the area of 722 km2 which includes the Valles Caldera (upper part of the Jemez River basin) and Frijoles Canyon, New Mexico. The data collection was jointly funded by the National Science Foundation (NSF), Valles Caldera National Preserve (VCNP), Bandelier National Monument/National Park Service (BNM/NPS) and United States Geological Survey (USGS) and performed by the National Center for Airborne Laser Mapping (NCALM) during a snow-off season (June and July 2010). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. This dataset, together with the snow-on Lidar survey performed in March and April 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.

This lidar dataset was collected as part of an NCALM Seed grant for Miles Reed at Central Michigan University. The goal of the study was to determine the chemical erosion response to transient physical erosion along the path of a migrating knickpoint. The study area covers approximately 63 km 2 near Horse Linto, California.

This dataset was collected as an NCALM Seed grant for PI Allison Pfeiffer, University of California, Santa Cruz, for the purpose of analyzing the hydraulics steep, boulder-bedded channels and bedrock-forced pools.