Andrew C. Ritchie
Jonathan A. Warrick
Joshua B. Logan
2019
Structure-from-motion point cloud of Mud Creek, Big Sur, California, 2017-12-07
point cloud digital data
data release
DOI:10.5066/P973FQ3M
Pacific Coastal and Marine Science Center, Santa Cruz, California
U.S. Geological Survey
https://doi.org/10.5066/P973FQ3M
https://www.sciencebase.gov/catalog/item/5b807080e4b05f6e32195234
Andrew C. Ritchie
Jonathan A. Warrick
Joshua B. Logan
2019
Topographic point clouds for the Mud Creek landslide, Big Sur, California from structure-from-motion photogrammetry from aerial photographs
time series of point cloud digital data
Data Release
DOI:10.5066/P973FQ3M
Pacific Coastal and Marine Science Center, Santa Cruz, California
U.S. Geological Survey
https://doi.org/10.5066/P973FQ3M
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using a UAS-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. Point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Ricoh GR camera in DNG format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Point clouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
Data were collected to monitor an unstable area of the Big Sur coastline presenting a natural hazard to life, property, and navigation, as part of the USGS Remote Sensing Coastal Change (RSCC) Project. The area failed catastrophically on 20 May 2017 and subsequent data collection continued to monitor both the natural and human-modified evolution of the slide area.
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
20171207
ground condition
None planned
-121.43695799
-121.42370183
35.87056698
35.86081387
USGS Metadata Identifier
USGS:5b807080e4b05f6e32195234
ISO 19115 Topic Category
geoscientificInformation
elevation
imageryBaseMapsEarthCover
transportation
Marine Realms Information Bank (MRIB) keywords
geomorphology
coastal change hazards topics
coastal landsliding
aerial and satellite photography
agents of coastal change
anthropogenic agents of coastal change
coastal landslides
coastal processes
coastal sediment budget
coastal zone management
effects of coastal change
human responses to coastal change
hazards and disasters
USGS Thesaurus
landslides
coastal processes
hazards
topography
remote sensing
aerial photography
image analysis
image collections
Data Categories for Marine Planning
Bathymetry and Elevation
None
U.S. Geological Survey
USGS
Coastal and Marine Hazards and Resources Program
CMHRP
Pacific Coastal and Marine Science Center
PCMSC
Common geographic areas
United States
California
Central California Coastal
Big Sur
Villa Creek
Cape San Martin
Monterey
None.
USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator(s) of the dataset and in products derived from these data.
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060
United States
831-427-4747
pcmsc_data@usgs.gov
Microsoft Windows versions 7 and 10, Agisoft PhotoScan version 1.2.8 through 1.3.2, LASTools 170327 through 180322 were used to process data for this release.
Jonathan A. Warrick
Andrew C. Ritchie
Kevin M. Schmidt
Mark E. Reid
Joshua B. Logan
2019
Characterizing the catastrophic 2017 Mud Creek landslide, California, using repeat structure-from-motion (SfM) photogrammetry
Warrick, J.A., Ritchie, A.C., Schmidt, K.M., Reid, M.E., and Logan, J.B., 2019, Characterizing the catastrophic 2017 Mud Creek landslide, California, using repeat structure-from-motion (SfM) photogrammetry: Landslides, doi:10.1007/s10346-019-01160-4
https://doi.org/10.1007/s10346-019-01160-4
No formal attribute accuracy tests were conducted
Coordinates recorded for each point in the point cloud describe discrete positions in space and the visual reflectance (in RGB values) at the time of capture. This final point cloud was checked for accuracy by rotating the point cloud to view from multiple angles to ensure that obvious spurious points do not cause artifacts in measurements or derivative products (DEM and Orthomosaic). Although some outlying points were eliminated during processing, there may still be points that do not represent ground features, but are instead artifacts generated by erroneous tie points or spurious matches in the photogrammetric process.
Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
Ground control was derived from fifteen surveyed aerial target ground-control points located in the lower, accessible portion of the landslide area. Positions for these targets were derived from survey-grade global navigation satellite system (GNSS) measurements collected by USGS field crews during the flight data collection. Vertical and horizontal accuracies for these positions were 0.02 and 0.03 m for the GNSS measurements. While total estimated 3D uncertainty of 0.5 m is reported for the UAS and Plane-based surveys, this is likely to be the upper bound of the UAS survey error, and error will be lower in the lower slide area where the targets were placed.
Ground control was derived from fifteen surveyed aerial target ground-control points located in the lower, accessible portion of the landslide area. Positions for these targets were derived from survey-grade global navigation satellite system (GNSS) measurements collected by USGS field crews during the flight data collection. Vertical and horizontal accuracies for these positions were 0.02 and 0.03 m for the GNSS measurements. While total estimated 3D uncertainty of 0.5 m is reported for the UAS and Plane-based surveys, this is likely to be the upper bound of the UAS survey error, and error will be lower in the lower slide area where the targets were placed.
Dewberry
20170412
2016 USGS lidar: West Coast El Nino (WA, OR, CA) point cloud files with orthometric vertical datum North American Vertical Datum of 1988 (NAVD88) using GEOID12B
tabular digital data
USGS Contract: G10PC00020
Task Order: G16PD00366 available at ftp://ftp.coast.noaa.gov/pub/DigitalCoast/lidar2_z/geoid12b/data/6259/west_coast2016_usgs_el_nino_m6259_metadata.xml
https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6259/
ftp://ftp.coast.noaa.gov/pub/DigitalCoast/lidar2_z/geoid12b/data/6259
Digital and/or Hardcopy
2016
ground condition
2016 USGS West Coast El-Nino lidar (WA, OR, CA)
ground control and error analysis
Digital Mapping, Inc
2011
2010 ARRA lidar: California Coastal Project (Zone 4) Point Cloud files with orthometric vertical datum North American Vertical Datum of 1988 (NAVD88) using GEOID12B
tabular digital data
https://coast.noaa.gov/htdata/lidar1_z/geoid12a/data/4843/ca2013_arra_centralcoast_m4843_metadata.xml
https://coast.noaa.gov/htdata/lidar1_z/geoid12a/data/4843/
ftp://ftp.coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/4843
Digital and/or Hardcopy
2010
ground condition
2010 ARRA lidar: California Coastal Project (Zone 4)
ground control and error analysis
1. Aerial imagery was collected using a USGS-operated UAS (3DR Solo) and a Ricoh GR camera, at approximately 100m altitude/distance from ground and 2 cm pixel resolution. Images were tagged with approximate location from flight control software, and 16 Ground Control Points (GCPs) were placed in the survey area and measured with GNSS to 0.02/0.03 cm accuracy (horizontal/vertical).
2. Geotagged images containing imagery from the survey area were imported into Agisoft Photoscan Professional v. 1.4.2 software using the 'Add photos' tool.
3. The photos were processed through an initial alignment and optimization procedure using the following settings:
Alignment - Accuracy: 'High'; Pair selection: 'Reference, generic'; Key point limit: 0 (unlimited); Tie point limit: 0 (unlimited).
Optimization - Lens-calibration parameters f, cx, cy, k1, k2, k3, p1, and p2 were included; b1, b2, and higher-order parameters k4, p3, and p4 were not.
4. The sparse point cloud (tie points; created as a result of photo alignment and optimization) was edited using an iterative error-reduction procedure to filter the data. This was done in several iterations of a process called "Gradual Selection" to first reduce reconstruction uncertainty (to a unitless value of 10) and then projection accuracy (to a weighted value of 3).
5. Ground control points (GCPs) were surveyed on fifteen aerial targets placed in the lower landslide area, which were also visible in the aerial images (see larger work for specific methods).
6. GCP location files, which assigned coordinates (northing, easting, and elevation in UTM Zone 10 North meters in NAD83 and NAVD88 coordinate systems) were imported, and markers were autodetected and/or manually placed on imagery where they were visible.
7. Another round of "Gradual Selection" was done to reduce the reprojection error (to a value of 0.3 pixels).
8. A dense point cloud was then created with the parameters "High" quality and "moderate" depth filtering.
9. The dense point cloud was exported in LAZ format and clipped to a shapefile of the survey area using lastools with the following command:
lasclip -i [input_file.laz] -poly [clip_shape.shp] -odir clipped -olaz
2018
Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed.
20201019
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Mud Creek, Monterey County, California. Located on California State Route 1 (SR1), 2 km (1 mi) south of Gorda, CA, and 57 km (35 mi) north of Cambria CA.
Point
Universal Transverse Mercator
10
0.9996
-123.0
0.0
500000.0
0.0
coordinate pair
0.1
0.1
METERS
NAD83
GRS 1980
6378137.0
298.257222101
The attribute information associated with point cloud follows the LAZ file standard. Attributes include location (northing, easting, and elevation in the NAD83/UTM zone 10N (EPSG:26910) horizontal and NAVD88 vertical coordinate systems), color (red, blue, and green components), intensity, and classification. All points are classified as 0 (unclassified).
American Society for Photogrammetry and Remote Sensing (ASPRS; 2013, https://www.asprs.org/committee-general/laser-las-file-format-exchange-activities.html) and Isenburg (2013, https://doi.org/10.14358/PERS.79.2.209)
U.S. Geological Survey
GS ScienceBase
mailing address
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
United States
1-888-275-8747
sciencebase@usgs.gov
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
LAZ
LAS 1.2
This file contains point cloud data in LAZ format (LAS 1.2 specification).
No compression applied.
261.61
https://www.sciencebase.gov/catalog/file/get/5b807080e4b05f6e32195234
https://www.sciencebase.gov/catalog/item/5b807080e4b05f6e32195234
https://doi.org/10.5066/P973FQ3M
Data can be downloaded using the Network_Resource_Name links. The first link is a direct link to download the zipped file of data and metadata. The second link points to a landing page with metadata and data. The third link takes you to a landing page for the entire data release.
None.
This zip file contains point cloud data in LAZ format (LAS 1.2 specification). The user must have software capable of uncompressing the .zip compressed file and displaying or processing the .laz format file
20201019
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060
United States
831-427-4747
pcmsc_data@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998