Point cloud data of Big Pine Ledge, Florida, 2021

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Gerald A. Hatcher
Originator: Christine J. Kranenburg
Originator: Jonathan A. Warrick
Publication_Date: 20240426
Title: Point cloud data of Big Pine Ledge, Florida, 2021
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9R47TWT
Publication_Information:
Publication_Place: Santa Cruz, California
Publisher:
U.S. Geological Survey - Pacific Coastal and Marine Science Center
Online_Linkage: https://doi.org/10.5066/P9R47TWT
Larger_Work_Citation:
Citation_Information:
Originator: Gerald A. Hatcher
Originator: Christine J. Kranenburg
Originator: Jonathan A. Warrick
Originator: Stephen T. Bosse
Originator: David G. Zawada
Originator: Kimberly K. Yates
Originator: Selena A. Johnson
Publication_Date: 2024
Title:
Underwater photogrammetry products of Big Pine Ledge, Florida from images acquired using the SQUID-5 system in July 2021
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9R47TWT
Publication_Information:
Publication_Place: Santa Cruz, California
Publisher:
U.S. Geological Survey - Pacific Coastal and Marine Science Center
Other_Citation_Details:
Suggested Citation: Hatcher, G.A., Kranenburg, C.J., Warrick, J.A., Bosse, S.T., Zawada, D.G., Yates, K.K., Johnson, S.A., 2024, Underwater photogrammetry products of Big Pine Ledge, Florida from images acquired using the SQUID-5 system in July 2021, http://doi.org/P9R47TWT
Online_Linkage: https://doi.org/10.5066/P9R47TWT
Description:
Abstract:
A three-dimensional point cloud (LAZ format) was developed from underwater images collected at Big Pine Ledge, Florida, in July 2021 using the SQUID-5 camera system and processed using Structure-from-Motion (SfM) photogrammetry techniques. Point cloud data include x,y,z positions, and RGB colors derived from the color-corrected imagery. LAS (and its compressed form, LAZ) is an open format developed for the efficient use of point cloud lidar data.
Purpose:
The underwater images and associated location data were collected to provide high-resolution elevation data and precisely co-registered, full-color orthoimage base maps for use in environmental assessment and monitoring of the coral reef and surrounding seafloor habitat. Additionally, the data were collected to evaluate their potential to improve USGS scientific efforts including seafloor elevation and stability modeling, and small-scale hydrodynamic flow modeling.
Supplemental_Information:
Additional information about the field activities from which these data were derived is available online at: https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-633-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-301-FA 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:
Range_of_Dates/Times:
Beginning_Date: 20210716
Ending_Date: 20210720
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -81.38465324
East_Bounding_Coordinate: -81.37764391
North_Bounding_Coordinate: 24.55393026
South_Bounding_Coordinate: 24.55194957
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:4740a199-862e-46dc-9e66-a7de1752ebe7
Theme:
Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords
Theme_Keyword: seabed
Theme_Keyword: coral reefs
Theme:
Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: Physical Habitats and Geomorphology
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: elevation
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: reef ecosystems
Theme_Keyword: geospatial datasets
Theme_Keyword: remote sensing
Theme_Keyword: visible light imaging
Theme_Keyword: structure from motion
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
Theme_Keyword: St. Petersburg Coastal and Marine Science Center
Theme_Keyword: SPCMSC
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: State of Florida
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Big Pine Ledge
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 of the dataset and in products derived from these data. This information is not intended for navigation purposes.
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
Contact_Voice_Telephone: 831-460-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: BPL21_ptcloud_webview.jpg
Browse_Graphic_File_Description: Full-resolution sample view of larger point cloud data set.
Browse_Graphic_File_Type: JPEG
Data_Set_Credit:
Data collection was funded by the U.S. Geological Survey Pacific Coastal Marine Science Center and the U.S. Geological Survey Saint Petersburg Coastal and Marine Science Center. The authors would like to thank Dr. Jason Spadaro, Assistant Professor, Marine Science and Technology, College of the Florida Keys for installing calibration targets on the reef, Lisa Symons, Regional Response Coordinator, and the staff of the Eastern Region, Office of National Marine Sanctuaries, NOAA Florida Keys National Marine Sanctuary, for coordination efforts.
Native_Data_Set_Environment: Microsoft Windows 10
Cross_Reference:
Citation_Information:
Originator: Gerald A. Hatcher
Originator: Jonathan A. Warrick
Originator: Christine J. Kranenburg
Originator: Andrew C. Ritchie
Publication_Date: 2023
Title:
Accurate Maps of Reef-scale Bathymetry with Synchronized Underwater Cameras and GNSS
Other_Citation_Details:
Hatcher, G.A., Warrick, J.A., Kranenburg, C.J., and Ritchie, A.C., Accurate Maps of Reef-scale Bathymetry with Synchronized Underwater Cameras and GNSS: Remote Sensing, 2023, 15, 3727. doi:10.3390/rs15153727
Online_Linkage: https://doi.org/10.3390/rs15153727
Cross_Reference:
Citation_Information:
Originator: Gerald A. Hatcher
Originator: Jonathan A. Warrick
Originator: Andrew C. Ritchie
Originator: Evan T. Dailey
Originator: David G. Zawada
Originator: Christine Kranenburg
Originator: Kimberly K. Yates
Publication_Date: 2020
Title:
Accurate bathymetric maps from underwater digital imagery without ground control
Other_Citation_Details:
Hatcher, G.A., Warrick, J.A., Ritchie, A.C., Dailey, E.T., Zawada, D.G., Kranenburg, C., and Yates, K.K., 2020, Accurate bathymetric maps from underwater digital imagery without ground control: Frontiers in Marine Science, v. 7, art. 525, doi:10.3389/fmars.2020.00525
Online_Linkage: https://doi.org/10.3389/fmars.2020.00525
Cross_Reference:
Citation_Information:
Originator: Codruta O. Ancuti
Originator: Cosmin Ancuti
Originator: Christophe De Vleeschouwer
Originator: Philippe Bekaert
Publication_Date: 2017
Title: Color balance and fusion for underwater image enhancement
Other_Citation_Details:
Ancuti, C.O., Ancuti, C., De Vleeschouwer, C., and Bekaert, P., 2017, Color balance and fusion for underwater image enhancement: IEEE Transactions on Image Processing, v. 27, p. 379-393, doi:10.1109/TIP.2017.2759252
Online_Linkage: https://doi.org/10.1109/TIP.2017.2759252
Cross_Reference:
Citation_Information:
Originator: Jin-Si R. Over
Originator: Andrew C. Ritchie
Originator: Christine J. Kranenburg
Originator: Jenna A. Brown
Originator: Daniel Buscombe
Originator: Tom Noble
Originator: Christopher R. Sherwood
Originator: Jonathan A. Warrick
Originator: Philippe A. Wernette
Publication_Date: 2021
Title:
Processing Coastal Imagery with Agisoft Metashape Professional Edition, Version 1.6--Structure from Motion Workflow Documentation
Series_Information:
Series_Name: U.S. Geological Survey Open-File Report
Issue_Identification: 2021-1039
Online_Linkage: https://doi.org/10.3133/ofr20211039
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The accuracy of the position data used for SfM data processing is based on the accuracy and precision of the GNSS equipment and camera timing. The post-processed GNSS navigation data produced a 10-Hz vehicle trajectory with an estimated 2-sigma accuracy of 10 cm horizontal and 15 cm vertical. The horizontal and vertical accuracies of the surface models generated by SfM were assessed with positional error assessments of the cameras and found to be less than 3 cm in the horizontal dimensions and less than 5 cm in the vertical.
Logical_Consistency_Report: All data fall within expected ranges.
Completeness_Report:
Dataset is considered complete for the information presented, as described in the abstract. No data were collected in 2 of the 10 potential tiles covered by the 5-by-2 index map. Data in those tiles were either too deep to be captured with an optical system or too shallow to access with the vessel used during data collection. Users are advised to read the rest of the metadata record carefully for additional details.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Previous SfM-based measurements of the field-based Sediment Elevation Table (SET) stations at USGS field sites in the Florida Keys were within 3 cm of the total uncertainty of the field-based GPS measurements. Additionally, the average horizontal scaling of the models was found to be between 0.016 percent and 0.024 percent of water depth. No independent assessment of horizontal accuracy was possible from the Big Pine Ledge field site.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Previous SfM-based measurements of the field-based Sediment Elevation Table (SET) stations at USGS field sites in the Florida Keys were within 3 cm of the total uncertainty of the field-based GPS measurements. The average vertical scaling of the models is between 0.016 percent and 0.024 percent of water depth. No independent assessment of vertical accuracy was possible from the Big Pine Ledge field site.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Christine J. Kranenburg
Originator: Gerald A. Hatcher
Originator: Jonathan A. Warrick
Originator: David G. Zawada
Originator: Kimberly K. Yates
Publication_Date: 20231130
Title:
Overlapping seabed images collected at Big Pine Ledge coral reef, Florida, 2021
Geospatial_Data_Presentation_Form: TIFF
Publication_Information:
Publication_Place: online
Publisher:
U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
Online_Linkage: https://doi.org/10.5066/P9M3NYWI
Type_of_Source_Media: digital images
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20210716
Ending_Date: 20210720
Source_Currentness_Reference: ground condition at time data were collected
Source_Citation_Abbreviation: raw images
Source_Contribution:
raw images to which Structure-from-Motion (SfM) techniques were applied
Source_Information:
Source_Citation:
Citation_Information:
Originator: Christine J. Kranenburg
Originator: Gerald A. Hatcher
Originator: Jonathan A. Warrick
Originator: David G. Zawada
Originator: Kimberly K. Yates
Publication_Date: 20231130
Title:
GNSS locations of seabed images collected at Big Pine Ledge coral reef, Florida, 2021
Geospatial_Data_Presentation_Form: comma-delimited text file
Publication_Information:
Publication_Place: online
Publisher:
U.S. Geological Survey - Pacific Coastal and Marine Science Center
Online_Linkage: https://doi.org/10.5066/P9M3NYWI
Type_of_Source_Media: ASCII file
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20210716
Ending_Date: 20210720
Source_Currentness_Reference: ground condition at time data were collected
Source_Citation_Abbreviation: GNSS antenna positions
Source_Contribution:
Location data for the raw images to which Structure-from-Motion (SfM) techniques were applied
Process_Step:
Process_Description:
IMAGERY COLOR CORRECTION Because of the strong color modifications caused by light adsorption and scattering in underwater imaging, a color correction process was conducted on the raw images. The color correction was a twofold process. First, images were corrected for the high adsorption (and low color values) in the red band using the color balancing techniques of Ancuti and others (2017). For this, the red channel was modified using the color compensation equations of Ancuti and others (2017, see equation 4 on page 383) that use both image-wide and pixel-by-pixel comparisons of red brightness with respect to green brightness. After compensation, the images were white balanced using the "greyworld" assumption that is summarized in Ancuti and others (2017). Combined, these techniques ensured that each color band histogram was centered on similar values and had similar spread of values. The remaining techniques of Ancuti and others (2017), which include sharpening techniques and a multi-product fusion, were not employed. The resulting images utilized only about a quarter to a half of the complete 0-255 dynamic range of the three-color bands. Thus, the brightness values of each band were stretched linearly over the complete range while allowing the brightest and darkest 0.05 percent of the original image pixels (that is, 2506 of the 5.013 million pixels) to be excluded from the histogram stretch. This final element was included to ensure that light or dark spots in the images, which often occurred from water column particles or image noise, did not exert undo control on the final brightness values. Color-corrected images were output with the same file names and file types as the originals to make replacement within the SfM photogrammetry project easy. As a courtesy, the script used to implement this procedure is provided as a supplemental support file (OrthoImage_Color_Correction_Procedure.m), included with this data release.
Source_Used_Citation_Abbreviation: raw images
Process_Date: 20211201
Source_Produced_Citation_Abbreviation: color-corrected images
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jonathan A. Warrick
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Position: Research Geologist
Contact_Address:
Address_Type: Physical and Mailing
Address: 2885 Mission St.
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Country: USA
Contact_Voice_Telephone: 831-460-7569
Contact_Electronic_Mail_Address: jwarrick@usgs.gov
Process_Step:
Process_Description:
SfM PHOTOGRAMMETRY Digital imagery and position data recorded by the SQUID-5 system were processed using Structure-from-Motion (SfM) photogrammetry techniques that generally follow the workflow outlined by Hatcher and others (2020 and 2023). These techniques are detailed here and include specific references to parameter settings and processing workflow. The primary software used for SfM processing was Agisoft Metashape Professional, version 1.6.6, build 11715, which will be referred to as "Metashape" in the discussion herein. First, the raw images collected during the five mission days were added to a new project in Metashape. Raw images were used over the color-corrected images, owing to their larger dynamic range, which generally resulted in more SfM tie points. The images were derived from only four of the five cameras on the SQUID-5 system due to a camera focusing problem (see metadata for the raw image files for more explanation), so each camera was assigned a unique camera calibration group in the Camera Calibration settings. Within the Camera Calibration settings, the camera parameters were also entered as 0.00345 x 0.00345 mm pixel sizes for all camera sensors, 8 mm focal length for the central camera (CAM13), and 6 mm focal lengths for the remaining cameras (CAM39, CAM75, CAM82). These different focal lengths represented different lenses chosen for each camera. Additionally, the cameras required offsets to transform the GNSS positions to each camera's entrance pupil (that is, optical center). Initial measurements of these offsets were obtained using a separate SfM technique, outlined in Hatcher and others (2020), which found the offsets to be: Camera X(m) Y(m) Z(m) CAM13 0.034 0.011 0.840 CAM39 0.273 -0.109 0.916 CAM75 0.131 0.559 0.754 CAM82 -0.010 -0.594 0.762 Where X and Y are the camera sensor parallel offsets, and Z is the sensor normal offset. The accuracy settings were chosen to be 0.01 m for CAM13 and 0.025 m for the other 3 cameras. Lastly, these offsets were allowed to be adjusted using the "Adjust GPS/INS offset" option, because slight camera shifts may occur with each rebuild and use of the SQUID-5 system. The SQUID-5 GNSS antenna positions were then imported into the project and matched with each image by time. The coordinates were converted in Metashape to the North American Datum of 1983 (NAD83 [2011]) Universal Transverse Mercator (UTM) Zone 17 North (17N) projected coordinate system, and altitudes were converted to the North American Vertical Datum of 1988 (NAVD88) orthometric heights (in meters). Prior to aligning the data, the Metashape reference settings were assigned. The coordinate system was "NAD83(2011) / UTM zone 17N" The camera accuracy was 0.05 m in the horizontal dimensions and 0.10 m in the vertical, following an examination of the source GNSS data. Tie point accuracy was set at 1.0 pixels. The remaining reference settings were not relevant, because there were no camera orientation measurements, marker points, or scale bars in the SfM project. The data were then aligned in Metashape using the "Align Photos" workflow tool. Settings for the alignment included "High" accuracy, Generic preselection turned OFF and "Reference" preselection using the "Source" information. This last setting allowed the camera position information to assist with the alignment process. Additionally, the key point limit was set to 50,000 and the tie point limit was assigned a value of zero, which allows for the generation of the maximum number of points for each image. Lastly, neither the "Guided image matching" nor the "Adaptive camera model fitting" options were used. This process resulted in over 101 million tie points. The total positional errors for the cameras were reported to be 0.025 m, 0.027 m, and 0.041 m in the east, north and altitude directions, respectively. Thus, the total positional error was 0.055 m. To improve upon the camera calibration parameters and computed camera positions, an optimization process was conducted that was consistent with the techniques of Hatcher and others (2020), which are based on the general principles provided in Over and others (2021). First, a duplicate of the aligned data was created in case the optimization process eliminated too much data using the "Duplicate Chunk" tool. Within the new chunk, the least valid tie points were removed using the "Gradual Selection" tools. As noted in Hatcher and others (2020), these tools are used less aggressively for the underwater imagery of SQUID-5 than commonly used for aerial imagery owing to the differences in image quality. First, all points with a "Reconstruction Uncertainty" greater than 20 were selected and deleted. Then, all points with a "Projection Accuracy" greater than 8 were selected and deleted. The camera parameters were then recalibrated with the "Optimize Cameras" tool. Throughout this process the only camera parameters that were adjusted were f, k1, k2, k3, cx, cy, p1, and p2. Once the camera parameters were adjusted, all points with "Reprojection Errors" greater than 0.4 were deleted, and the "Optimize Cameras" tool was used one final time. This optimization process resulted in slightly over 46.4 million tie points, a reduction of roughly 54 percent of the original tie points. The camera positional errors were reported to be 0.018 m, 0.021 m, and 0.038 m in the east, north and altitude directions, respectively, and the total positional error was 0.047 m. The final computed arm offsets were found to be: Camera X(m) Y(m) Z(m) CAM13 0.030 0.009 0.825 CAM39 0.274 -0.111 0.911 CAM75 0.128 0.556 0.745 CAM82 -0.012 -0.563 0.777 Following the alignment and optimization of the SQUID-5 data, mapped SfM products were generated in Metashape. For these steps, the original raw images were replaced with color-corrected images. This replacement was conducted by resetting each image path from the raw image to the color-corrected image. First, a three-dimensional dense point cloud was generated using the "Build Dense Cloud" workflow tool. This was run with the "High" quality setting and the "Mild" depth filtering, and the tool was set to calculate both point colors and confidence. The resulting dense cloud was over 2 billion points over the 0.08 square kilometer survey area, or roughly 33,000 points per square meter (3.3 points per square centimeter). The dense points were classified by thresholding Metashape-computed confidence values, which are equivalent to the number of image depth maps that were integrated to make each point. Values of one were assigned "low noise", and values of two and greater were assigned "unclassified". The final Dense cloud was partitioned into blocks (also referred to as tiles) measuring 150 meters on a side, and exported with point colors and classification as a LAZ file type.
Source_Used_Citation_Abbreviation: raw images
Source_Used_Citation_Abbreviation: color-corrected images
Source_Used_Citation_Abbreviation: GNSS antenna positions
Process_Date: 20221229
Source_Produced_Citation_Abbreviation: point cloud
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Christine J. Kranenburg
Contact_Organization:
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Contact_Position: Cartographer
Contact_Address:
Address_Type: Physical and Mailing
Address: 600 4th Street South
City: St. Petersburg
State_or_Province: FL
Postal_Code: 33701
Country: USA
Contact_Voice_Telephone: 727-502-8000
Contact_Electronic_Mail_Address: ckranenburg@usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Point
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Entity 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: 17N
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -81
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: 0.001
Ordinate_Resolution: 0.001
Planar_Distance_Units: Meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983 (2011)
Ellipsoid_Name: GRS 1980
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222101
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: North American Vertical Datum 1988 (NAVD88)
Altitude_Resolution: 0.001
Altitude_Distance_Units: meters
Altitude_Encoding_Method: Attribute values
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
Points represent three-dimensional locations of the mapped seabed with horizontal positions in meters projected in NAD83(2011) UTM Zone 17N and elevation in meters relative to NAVD88 (GEOID 12B). Points additionally have values for 8-bit RGB color derived from the color-corrected images and a classification of either low noise or 'unclassified' derived from Metashape confidence values.
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - CMGDS
Contact_Address:
Address_Type: Mailing and Physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 1-831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Resource_Description:
These data are available in the compressed LAZ format for eight blocks (also referred to as tiles) of the survey area. Each tile measures 150 meters on a side and are labeled SQUID5_BPL_2021_PointCloud-col-row.laz where col represents the column name and can have a value of A-E, and row is the row number and can have a value of 0-1.
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: LASer file
Format_Information_Content:
LAS (and its compressed version, LAZ) is an open source, directly accessible, ready-to-use format for point cloud data (x,y,z) originating in surveys using lidar or other fine-scale elevation measurements. The individual LAZ files available for download in this data release range in size from 412 MB to 4.95 GB.
File_Decompression_Technique: LAZ
Transfer_Size: 21712
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P9R47TWT
Access_Instructions:
The LAZ data can be downloaded by going to the Network_Resource_Name link and scrolling down to the Location-Elevation Data section. File names correspond to the 5-by-2 tile index grid shown in the location map and are named according to the following convention: SQUID5_BPL_2021_PointCloud-col-row.laz, where col represents the column name and can have a value of A-E, and row represents the row number and can have a value of 0-1. Note that 2 of the possible 10 tiles are empty, resulting in 8 point cloud data files.
Fees: None.
Technical_Prerequisites:
A description of the LAZ format and links to software tools for using LAZ files are provided at the USGS website: https://www.usgs.gov/news/3d-elevation-program-distributing-lidar-data-laz-format
Metadata_Reference_Information:
Metadata_Date: 20240426
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
Contact_Voice_Telephone: 831-460-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

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