Lidar was collected between November 01 2012 and November 07 2012 in the Northern Sierra Nevada Mountains of California. Data were collected by National Center for Airborne Laser Mapping (NCALM) for Dr. Qinghua Guo at the University of California, Merced Sierra Nevada Research Institute. This dataset covers roughly 437 km2

This dataset consists of point cloud data collected in 2016 and 2017 of the lower and upper Scenic Drive landslide locations in La Honda, California. Point cloud data were collected in 2016 to establish baseline for movement detection of past landslides. Point cloud data were collected in 2017 adjacent and upslope of 2016 data to document a newly formed landslide. The data were collected with a Riegl VZ400 Terrestrial Laser Scanner and georeferenced using a Leica Viva GS15 survey grade GPS. The data are delivered as georeferenced (NAD83 UTM zone 10N ellipsoid) classified point clouds, 5 cm resolution digital elevation models, and a text file of surveyed GPS control points. The included files are: LH2017_Jan.laz LH2016_Jan.laz LH2017_5cm_DEM_be_tin.tif LH2017_5cm_DEM_bebldg_tin.tif LH2017_5cm_DEM_be_idp.tif LH2016_5cm_DEM_be_tin.tif LH2016_5cm_DEM_bebldg_tin.tif LH2016_5cm_DEM_be_idp.tif LH_GPS_control_points_NAD83_UTM_z10N_ell.txt

These data were compiled for assessing how geomorphic changes measured as topographic differences from repeat surveys represent measured and modelled estimates of aeolian sediment transport and dune mobility. Objective(s) of our study were to investigate whether topographic changes can serve as a proxy for aeolian transport and sediment mobility in dunefield environments. This was accomplished by relating topographic changes to modeled and observed estimates of sediment transport and dune mobility over months to decades within a partially vegetated dunefield starved of upwind sediment supplies. We specifically tested if topographic changes measured as net and total volume changes and topographic surface roughness differences provide evidence for intra-annual differences and decadal changes in sediment mobility for dune sand that is either currently bare, vegetated, or biocrust-covered. Lastly, these data were used as a framework for interpreting how aeolian transport and sediment mobility has changed for current land cover types over the preceding four decades. These data represent monthly topographic surveys and in-field sediment transport data collected between February 13, 2020 and December 16, 2020, piloted aerial imagery collected in 1984, 2002, 2009, 2013, and 2021, unoccupied aerial vehicle (UAV) imagery collected in March 2021, classification of land cover, and tabular summaries of topographic changes derived from these datasets. These data were collected between 1984 and 2021 within a small aeolian dunefield near the confluence of the Paria and Colorado Rivers, upstream of Grand Canyon National Park, Arizona. These data were collected by the U.S. Geological Survey. These data can be used to 1) to evaluate how dune surfaces with bare sand, sand with vegetated cover, and sand with biological soil crust cover (biocrust) change on a monthly time scale with differences in wind strength and 2) assess how the dunefield surface changed with vegetation loss and expansion over almost 4 decades. Additionally, these data could be used to assess detailed changes in landscape cover over monthly and decadal time scales.

Dataset includes (1) .las point clouds of steep, bare-bedrock cliffs derived from structure-from-motion photogrammetry. (2) Scaled orthophotos extracted approximately normal to a prominent cliff face within the structure-from-motion model. Individual point cloud extents are approximately 10 – 300 m across. Structure-from-motion models were rendered in AgiSoft Photoscan. Structure-from-motion models where aligned and georeferenced to aerial lidar point clouds using iterative-closest-point alignment tool in CloudCompare. Datasets are not classified and include vegetation. Data collection occurred in summers (May-August) of 2016-2019. Datasets are complimentary to submitted manuscript to JGR earth surface: Neely, A.B., and DiBiase, R.A., in review. Drainage area, bedrock fracture spacing, and weathering controls on landscape-scale patterns in surface sediment grain size, Journal of Geophysical Research, Earth Surface, doi:10.1002/essoar.10502617.1 Supplementary files in complimentary manuscript contain shapefile outlines of cliff regions where bedrock fracture spacing was measured and table including bedrock cliff name and measured bedrock fracture spacing. See Neely et al., (2019) for more details on procedure used to align SfM dense cloud and lidar point clouds: Alexander B. Neely, Roman A. DiBiase, Lee B. Corbett, Paul R. Bierman, Marc W. Caffee, Bedrock fracture density controls on hillslope erodibility in steep, rocky landscapes with patchy soil cover, southern California, USA, Earth and Planetary Science Letters, Volume 522, 2019, Pages 186-197, ISSN 0012-821X, https://doi.org/10.1016/j.epsl.2019.06.011.

This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site.

This dataset is intended for researchers interested in active tectonics and earthquake hazards research in the Central Coast region of California, and the areas north and east of San Francisco Bay. The target areas were developed and defined by USGS scientists in collaboration with colleagues working in these regions. The target areas in the Central Coast region are: the Big Sur area and the Oceanic and San Simeon Faults. The target areas in northern California are: the Bartlett Springs and Berryessa Faults, the Greenville Fault, and the Rodgers Creek Fault - Maacama Fault stepover area. The data collection and processing were purchased by the U.S. Geological Survey using funds provided via the American Recovery and Reinvestment Act of 2009 (ARRA).

Airborne lidar collection to study the formation of evenly spaced ridges and valleys over the Gabilan Mesa in California. Further details can be found in the publication: Perron, J. Taylor, James W. Kirchner, and William E. Dietrich. "Formation of evenly spaced ridges and valleys." Nature 460.7254 (2009): 502-505. https://doi.org/10.1038/nature08174

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.

NCALM Seed. PI: Jill Marshall, San Francisco State University. The project area covers portions of the San Jose Mountains and consists of two polygons totaling approximately 50 square kilometers. The area of interest is located 30 kilometers west of San Jose, CA and was flown on Wednesday and Thursday, December 6-7, 2006.

Hillshade of lidar-derived, bare earth digital elevation model, with 55-degree azimuth and 20-degree sun angle, 0.25m resolution, depicting earthquake effects following the August 24, 2014 South Napa Earthquake.