Point cloud and digital elevation data from terrestrial laser scanning of the San Andreas Fault and coast redwood trees near Fort Ross, California
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.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Jessie L. Vermeer", "@type": "vcard:Contact", "hasEmail": "mailto:jvermeer@usgs.gov" } |
| description | 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. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P14AWYPD", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.68085838d4be0259ca749df3.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_68085838d4be0259ca749df3 |
| keyword |
[ "California", "Fort Ross", "Sonoma", "USGS:68085838d4be0259ca749df3", "biota", "earthquakes", "elevation", "faulting (geologic)", "lidar", "paleoseismology", "topography", "vegetation" ] |
| modified | 2025-06-10T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -123.25242, 38.51511, -123.22941, 38.53317 |
| theme |
[ "geospatial" ] |
| title | Point cloud and digital elevation data from terrestrial laser scanning of the San Andreas Fault and coast redwood trees near Fort Ross, California |
