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

This data set is derived from the original 2005 data collected over the southern San Andreas and San Jacinto fault zones in southern California, USA. These data have provided a fundamental resource for study of active faulting in southern California since they were released in 2005. However, these data were not classified in a manner that allowed for easy differentiation between bare ground surfaces and the objects and vegetation above that surface. This reprocessed (classified) dataset allows researchers easy and direct access to a "bare-earth" digital elevation data set as gridded half-meter resolution rasters (elevation and shaded relief) , "full-feature" digital elevation models as gridded one-meter resolution rasters (elevation and shaded relief) and as classified (according to ASPRS standards) point clouds in binary .laz format, and a spatial index in shapefile and Google Earth KML format.

This data set is derived from the original 2005 data collected over the southern San Andreas and San Jacinto fault zones in southern California, USA. These data have provided a fundamental resource for study of active faulting in southern California since they were released in 2005. However, these data were not classified in a manner that allowed for easy differentiation between bare ground surfaces and the objects and vegetation above that surface. This reprocessed (classified) dataset allows researchers easy and direct access to a "bare-earth" digital elevation data set as gridded half-meter resolution rasters (elevation and shaded relief) , "full-feature" digital elevation models as gridded one-meter resolution rasters (elevation and shaded relief) and as classified (according to ASPRS standards) point clouds in binary .laz format, and a spatial index in shapefile and Google Earth KML format.

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).

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).

On February 14, 2019, just before 2:56 am local time (Pacific Standard Time), a landslide initiated from the natural hillslopes above the City of Sausalito, California. The landslide, properly identified as a debris flow, overran a road (Sausalito Boulevard) located immediately below the landslide source area, and impacted and destroyed several residential structures. One person was located in one of the residences and survived the disaster after being transported in their home down the slope. The U.S. Geological Survey responded to this event within hours of the landslide and provided situational awareness of possible secondary landslide hazards associated with the event. The USGS also rapidly mobilized its topographic surveying capabilities (specifically, GPS and terrestrial lidar devices) and collected a three-dimensional point cloud model of the landslide source area and surrounding terrain to capture the as-failed condition of the slope for potential future studies. This data collected during this response is presented in this data release.

On February 14, 2019, just before 2:56 am local time (Pacific Standard Time), a landslide initiated from the natural hillslopes above the City of Sausalito, California. The landslide, properly identified as a debris flow, overran a road (Sausalito Boulevard) located immediately below the landslide source area, and impacted and destroyed several residential structures. One person was located in one of the residences and survived the disaster after being transported in their home down the slope. The U.S. Geological Survey responded to this event within hours of the landslide and provided situational awareness of possible secondary landslide hazards associated with the event. The USGS also rapidly mobilized its topographic surveying capabilities (specifically, GPS and terrestrial lidar devices) and collected a three-dimensional point cloud model of the landslide source area and surrounding terrain to capture the as-failed condition of the slope for potential future studies. This data collected during this response is presented in this data release.

Text files: These data are text files of GNSS survey points collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California. Data were collected to aid in paleoseismic investigation of the suspected fault strand and to characterize local geomorphology. Data were collected on March 31, and August 1, 2017 using a Leica Viva GS15 survey-grade GNSS receiver. The data are delivered as positions in the NAD83 UTM zone 10N coordinate system with orthometric heights according to Geoid 12B. LAZ files: These data are point clouds from terrestrial lidar data collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California. Data were collected to aid in paleoseismic investigation of the suspected fault strand and to characterize local geomorphology. Point cloud data were collected on March 31, and August 1, 2017. The data were collected prior to trench excavation along a north-trending elongate rounded hill within Napa Valley, thought to represent the northern trace of the West Napa Fault, and then concurrent with trench excavation, overlapping and extending 200 m to the southwest of the first data set, to better characterize local fluvial history. Data were collected with a Riegl VZ400 terrestrial laser scanner and georeferenced using a Leica Viva GS15 survey-grade GNSS receiver. The data are delivered as georeferenced (NAD83 UTM zone 10N orthometric) classified point clouds. Raster Data: These data are 10-cm GeoTiff rasters of ground elevations from terrestrial lidar data collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California.

Text files: These data are text files of GNSS survey points collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California. Data were collected to aid in paleoseismic investigation of the suspected fault strand and to characterize local geomorphology. Data were collected on March 31, and August 1, 2017 using a Leica Viva GS15 survey-grade GNSS receiver. The data are delivered as positions in the NAD83 UTM zone 10N coordinate system with orthometric heights according to Geoid 12B. LAZ files: These data are point clouds from terrestrial lidar data collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California. Data were collected to aid in paleoseismic investigation of the suspected fault strand and to characterize local geomorphology. Point cloud data were collected on March 31, and August 1, 2017. The data were collected prior to trench excavation along a north-trending elongate rounded hill within Napa Valley, thought to represent the northern trace of the West Napa Fault, and then concurrent with trench excavation, overlapping and extending 200 m to the southwest of the first data set, to better characterize local fluvial history. Data were collected with a Riegl VZ400 terrestrial laser scanner and georeferenced using a Leica Viva GS15 survey-grade GNSS receiver. The data are delivered as georeferenced (NAD83 UTM zone 10N orthometric) classified point clouds. Raster Data: These data are 10-cm GeoTiff rasters of ground elevations from terrestrial lidar data collected along a trace of the West Napa Fault Zone near Ehlers Lane north of St. Helena, California.

This data collection of the 3D Elevation Program (3DEP) consists of Lidar Point Cloud (LPC) projects as provided to the USGS. These point cloud files contain all the original lidar points collected, with the original spatial reference and units preserved. These data may have been used as the source of updates to the 1/3-arcsecond, 1-arcsecond, and 2-arcsecond seamless 3DEP Digital Elevation Models (DEMs). The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Lidar (Light detection and ranging) discrete-return point cloud data are available in LAZ format. The LAZ format is a lossless compressed version of the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. Point Cloud data can be converted from LAZ to LAS or LAS to LAZ without the loss of any information. Either format stores 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of geo-referenced x, y coordinates and z (elevation), as well as other attributes for each point. Please refer to https://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information on the .LAS file format. All 3DEP products are public domain.