Structure-from-motion point cloud of Mud Creek, Big Sur, California, 2017-12-21

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Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Andrew C. Ritchie
Originator: Jonathan A. Warrick
Originator: Joshua B. Logan
Publication_Date: 2019
Title:

Structure-from-motion point cloud of Mud Creek, Big Sur, California, 2017-12-21

Geospatial_Data_Presentation_Form: point cloud digital data
Series_Information:

Series_Name: data release
Issue_Identification: DOI:10.5066/P973FQ3M

Publication_Information:

Publication_Place:

Pacific Coastal and Marine Science Center, Santa Cruz, California

Publisher: U.S. Geological Survey

Online_Linkage: https://doi.org/10.5066/P973FQ3M
Online_Linkage:

https://www.sciencebase.gov/catalog/item/5b807097e4b05f6e3219525f

Larger_Work_Citation:

Citation_Information:

Originator: Andrew C. Ritchie
Originator: Jonathan A. Warrick
Originator: Joshua B. Logan
Publication_Date: 2019
Title:

Topographic point clouds for the Mud Creek landslide, Big Sur, California from structure-from-motion photogrammetry from aerial photographs

Geospatial_Data_Presentation_Form: time series of point cloud digital data
Series_Information:

Series_Name: data release
Issue_Identification: DOI:10.5066/P973FQ3M

Publication_Information:

Publication_Place:

Pacific Coastal and Marine Science Center, Santa Cruz, California

Publisher: U.S. Geological Survey

Online_Linkage: https://doi.org/10.5066/P973FQ3M

Description:

Abstract:

Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-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 Nikon D800 camera in RAW 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.

Purpose:

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.

Supplemental_Information:

Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 20171221

Currentness_Reference: ground condition

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -121.43695799
East_Bounding_Coordinate: -121.42370183
North_Bounding_Coordinate: 35.87056698
South_Bounding_Coordinate: 35.86081387

Keywords:

Theme:

Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:5b807097e4b05f6e3219525f

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: geoscientificInformation
Theme_Keyword: elevation
Theme_Keyword: imageryBaseMapsEarthCover
Theme_Keyword: transportation

Theme:

Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords
Theme_Keyword: geomorphology
Theme_Keyword: coastal change hazards topics
Theme_Keyword: coastal landsliding
Theme_Keyword: aerial and satellite photography
Theme_Keyword: agents of coastal change
Theme_Keyword: anthropogenic agents of coastal change
Theme_Keyword: coastal landslides
Theme_Keyword: coastal processes
Theme_Keyword: coastal sediment budget
Theme_Keyword: coastal zone management
Theme_Keyword: effects of coastal change
Theme_Keyword: human responses to coastal change
Theme_Keyword: hazards and disasters

Theme:

Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: landslides
Theme_Keyword: coastal processes
Theme_Keyword: hazards
Theme_Keyword: topography
Theme_Keyword: remote sensing
Theme_Keyword: aerial photography
Theme_Keyword: image analysis
Theme_Keyword: image collections

Theme:

Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: Bathymetry and Elevation

Theme:

Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: Pacific Coastal and Marine Science Center
Theme_Keyword: PCMSC

Place:

Place_Keyword_Thesaurus: Common geographic areas
Place_Keyword: United States
Place_Keyword: California
Place_Keyword: Central California Coastal
Place_Keyword: Big Sur
Place_Keyword: Villa Creek
Place_Keyword: Cape San Martin
Place_Keyword: Monterey

Access_Constraints: None.
Use_Constraints:

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.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

U.S. Geological Survey, Pacific Coastal and Marine Science Center

Contact_Person: PCMSC Science Data Coordinator

Contact_Address:

Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Country: United States

Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov

Native_Data_Set_Environment:

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.

Cross_Reference:

Citation_Information:

Originator: Jonathan A. Warrick
Originator: Andrew C. Ritchie
Originator: Kevin M. Schmidt
Originator: Mark E. Reid
Originator: Joshua B. Logan
Publication_Date: 2019
Title:

Characterizing the catastrophic 2017 Mud Creek landslide, California, using repeat structure-from-motion (SfM) photogrammetry

Other_Citation_Details:

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

Online_Linkage: https://doi.org/10.1007/s10346-019-01160-4

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report: No formal attribute accuracy tests were conducted

Logical_Consistency_Report:

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.

Completeness_Report:

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.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Ground control was derived from six photo-identifiable, stable, and prominent rocks that were located around the perimeter of the landslide area. Positions for three of these rocks were derived from survey-grade global navigation satellite system (GNSS) measurements collected by USGS field crews during August 17-20, 2017. Positions for the remaining three rocks were derived from the 2016 airborne lidar point data. The vertical and horizontal accuracies for these positions were 0.02 and 0.03 m for the GNSS measurements and were assumed to be 0.25 m for the lidar-derived data. The lidar-derived data include the additional uncertainty of accurately matching the irregularly spaced lidar points to the photo-identifiable rocks, which is difficult to measure, but estimated to be an additional 0.25 m, resulting in a total estimated 3D uncertainty of 0.5 m.

Vertical_Positional_Accuracy:

Vertical_Positional_Accuracy_Report:

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: Dewberry
Publication_Date: 20170412
Title:

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

Geospatial_Data_Presentation_Form: tabular digital data
Other_Citation_Details:

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

Online_Linkage: https://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/6259/
Online_Linkage:

ftp://ftp.coast.noaa.gov/pub/DigitalCoast/lidar2_z/geoid12b/data/6259

Type_of_Source_Media: Digital and/or Hardcopy
Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2016

Source_Currentness_Reference: ground condition

Source_Citation_Abbreviation: 2016 USGS West Coast El-Nino lidar (WA, OR, CA)
Source_Contribution: ground control and error analysis

Source_Information:

Source_Citation:

Citation_Information:

Originator: Digital Mapping, Inc
Publication_Date: 2011
Title:

2010 ARRA lidar: California Coastal Project (Zone 4) point cloud files with orthometric vertical datum North American Vertical Datum of 1988 (NAVD88) using GEOID12B

Geospatial_Data_Presentation_Form: tabular digital data
Other_Citation_Details:

https://coast.noaa.gov/htdata/lidar1_z/geoid12a/data/4843/ca2013_arra_centralcoast_m4843_metadata.xml

Online_Linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid12a/data/4843/
Online_Linkage:

ftp://ftp.coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/4843

Type_of_Source_Media: Digital and/or Hardcopy
Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2010

Source_Currentness_Reference: ground condition

Source_Citation_Abbreviation: 2010 ARRA lidar: California Coastal Project (Zone 4)
Source_Contribution: ground control and error analysis

Process_Step:

Process_Description:

1. Aerial imagery was collected using a USGS platform built to collect survey-grade GNSS data and simultaneously collect images at 1-second intervals on a Nikon D810 camera mounted obliquely on a Cessna 210.
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 created from distinct static features (primarily boulders) identified in lidar point clouds from 2010 and 2016, 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 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 "Mild" 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

Process_Date: 2018

Process_Step:

Process_Description:

Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed.

Process_Date: 20201019
Process_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: U.S. Geological Survey
Contact_Person: VeeAnn A. Cross

Contact_Position: Marine Geologist
Contact_Address:

Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598

Contact_Voice_Telephone: 508-548-8700 x2251
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: vatnipp@usgs.gov

Spatial_Data_Organization_Information:

Indirect_Spatial_Reference:

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.

Direct_Spatial_Reference_Method: Point

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Grid_Coordinate_System:

Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:

UTM_Zone_Number: 10
Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -123.0
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000.0
False_Northing: 0.0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:

Abscissa_Resolution: 0.1
Ordinate_Resolution: 0.1

Planar_Distance_Units: METERS

Geodetic_Model:

Horizontal_Datum_Name: NAD83
Ellipsoid_Name: GRS 1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

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).

Entity_and_Attribute_Detail_Citation:

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)

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: U.S. Geological Survey
Contact_Person: GS ScienceBase

Contact_Address:

Address_Type: mailing address
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: United States

Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov

Distribution_Liability:

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.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: LAZ
Format_Version_Number: LAS 1.2
Format_Information_Content:

This file contains point cloud data in LAZ format (LAS 1.2 specification).

File_Decompression_Technique: No compression applied.
Transfer_Size: 71.54

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name:

https://www.sciencebase.gov/catalog/file/get/5b807097e4b05f6e3219525f

Network_Resource_Name:

https://www.sciencebase.gov/catalog/item/5b807097e4b05f6e3219525f

Network_Resource_Name: https://doi.org/10.5066/P973FQ3M

Access_Instructions:

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.

Fees: None.

Technical_Prerequisites:

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

Metadata_Reference_Information:

Metadata_Date: 20201019
Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

U.S. Geological Survey, Pacific Coastal and Marine Science Center

Contact_Person: PCMSC Science Data Coordinator

Contact_Address:

Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Country: United States

Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov

Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_P973FQ3M/MudCr_BigSur_2017_12_21_PlaneCam_metadata.html>