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 B4 lidar dataset 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. The reprocessing of the 2005 B4 dataset was performed by Dr. Stephen B DeLong, USGS Earthquake Hazards Program, as a service to the community. The data available here were originally published on the USGS ScienceBase website as Classified point cloud and gridded elevation data from the 2005 B4 Lidar Project, southern California, USA. Original B4 project description: The B4 Lidar Project collected lidar point cloud data of the southern San Andreas and San Jacinto Faults in southern California. Data acquisition and processing were performed by the National Center for Airborne Laser Mapping (NCALM) in partnership with the USGS and Ohio State University through funding from the EAR Geophysics program at the National Science Foundation (NSF). Optech International contributed the ALTM3100 laser scanner system. UNAVCO and SCIGN assisted in GPS ground control and continuous high rate GPS data acquisition. A group of volunteers from USGS, UCSD, UCLA, Caltech and private industry, as well as gracious landowners along the fault zones, also made the project possible. If you utilize the B4 data for talks, posters or publications, we ask that you acknowledge the B4 project. The B4 logo can be downloaded here. More information about the B4 Project.

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 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

The B4 Lidar Project collected lidar point cloud data of the southern San Andreas and San Jacinto Faults in southern California. Data acquisition and processing were performed by the National Center for Airborne Laser Mapping (NCALM) in partnership with the USGS and Ohio State University through funding from the EAR Geophysics program at the National Science Foundation (NSF). Optech International contributed the ALTM3100 laser scanner system. UNAVCO and SCIGN assisted in GPS ground control and continuous high rate GPS data acquisition. A group of volunteers from USGS, UCSD, UCLA, Caltech and private industry, as well as gracious landowners along the fault zones, also made the project possible. If you utilize the B4 data for talks, posters or publications, we ask that you acknowledge the B4 project. The B4 logo can be downloaded here. A new reprocessed (classified) version of this dataset is here: B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar

These data are derived from laser scanning surveys of the San Andreas Fault and surrounding groves of trees in Fort Ross State Historic Park, California. Surveys were performed on May 13, 2013 and June 19–20, 2024. The second survey was performed specifically to document the morphology of trees that show signs of past earthquake damage, four of which were sampled for dendroseismology studies in 2023–2024 (see Carroll et al., 2025). In addition to the 2013 and 2024 terrestrial laser scanner point clouds, we provide a version of the 2024 point cloud that was automatically classified into individual trees using Riegl RiScan Pro LIS Tree Analyzer Plug-in and manually refined point clouds of the four trees sampled in 2023–2024 (FRN1–4 of Carroll et al., 2025). We also include point clouds of the four sampled trees in HTML format that can be viewed and manipulated in a web browser. To document fault geomorphology, we produced a “bare earth” digital elevation model using both terrestrial point clouds supplemented with airborne laser scanner data from the USGS 3DEP collected in 2022.

These lidar data are derived from two airborne lidar surveys: a 2016 Los Angeles Region Imagery Acquisition Consortium (LARIAC) survey, and a 2019 National Center for Airborne Laser Mapping (NCALM) survey. These data were reclassified in order to improve the classification of ground points, and to make the classification of both datasets as consistent as possible. The NCALM data had their position shifted slightly to more closely align with the LARIAC data. The data are organized into two "Child Items": Reclassified lidar point clouds from 2016 LARIAC collection near Malibu, California and Reclassified lidar point clouds from 2019 NCALM collection near Malibu, California. The point clouds are available as ~1 square kilometer tiles with 25 m buffer overlaps to avoid edge effects in further processing. The naming convention includes the name of the original data collection and some reference UTM coordinates.

These lidar data are derived from two airborne lidar surveys: a 2016 Los Angeles Region Imagery Acquisition Consortium (LARIAC) survey, and a 2019 National Center for Airborne Laser Mapping (NCALM) survey. These data were reclassified in order to improve the classification of ground points, and to make the classification of both datasets as consistent as possible. The NCALM data had their position shifted slightly to more closely align with the LARIAC data. The data are organized into two "Child Items": Reclassified lidar point clouds from 2016 LARIAC collection near Malibu, California and Reclassified lidar point clouds from 2019 NCALM collection near Malibu, California. The point clouds are available as ~1 square kilometer tiles with 25 m buffer overlaps to avoid edge effects in further processing. The naming convention includes the name of the original data collection and some reference UTM coordinates.

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.