Topographic digital surface model (DSM) for Whiskeytown Lake and surrounding area, 2018-12-02

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Frequently anticipated questions:

What does this data set describe?

Title:
Topographic digital surface model (DSM) for Whiskeytown Lake and surrounding area, 2018-12-02
Abstract:
This portion of the data release presents a digital surface model (DSM) and hillshade of Whiskeytown Lake and the surrounding area derived from Structure from Motion (SfM) processing of aerial imagery acquired on 2018-12-02. Unlike a digital elevation model (DEM), the DSM represents the elevation of the highest object within the bounds of a cell. Vegetation, buildings and other objects have not been removed from the data. In addition, data artifacts resulting from noise and vegetation in the original imagery have not been removed. However, in unvegetated areas such as reservoir shorelines and deltas, the DSM is equivalent to a DEM because it represents the ground surface elevation. The raw imagery used to create this DSM was acquired from a manned aircraft on 2018-12-02. The acquisition flight was conducted by The 111th Group Aerial Photography, using a Nikon D850 camera. The imagery was acquired from an approximate altitude of 610 meters (2,000 feet) above ground level, to produce a nominal ground sample distance (pixel size) of 5 centimeters (2 inches). An onboard single-frequency GPS receiver was used to record the precise time and position of each image. Coordinates for ground control points consisting of photo-identifiable objects were measured independently using survey-grade post-processed kinematic (PPK) GPS.
Supplemental_Information:
Additional information about the field activities from which these data were derived is available online at:
http://cmgds.marine.usgs.gov/fan_info.php?fan=2018-686-FA
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Data used in creating this DSM were collected under the Department of the Interior, National Park Service Scientific Research and Collecting Permit WHIS-2018-SCI-0023 and WHIS-2019-SCI-0011.
  1. How might this data set be cited?
    Logan, Joshua B., East, Amy E., and Ritchie, Andrew C., 20200527, Topographic digital surface model (DSM) for Whiskeytown Lake and surrounding area, 2018-12-02: data release DOI:10.5066/P9HEDYNT, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

    This is part of the following larger work.

    Logan, Joshua B., Dartnell, Peter, East, Amy E., and Ritchie, Andrew C., 2020, Bathymetry, topography and orthomosaic imagery for Whiskeytown Lake, northern California: data release DOI:10.5066/P9HEDYNT, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -122.632906
    East_Bounding_Coordinate: -122.515005
    North_Bounding_Coordinate: 40.661910
    South_Bounding_Coordinate: 40.592995
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/5e7d2fbde4b01d5092751dfd?name=Whiskeytown_2018-12-02_DSM_25cm_browse.png (PNG)
    Color shaded relief map of 2018-12-02 DSM.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 02-Dec-2018
    Ending_Date: 02-Dec-2018
    Currentness_Reference:
    ground condition at time data were collected
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: GeoTIFF
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Raster data set. It contains the following raster data types:
      • Dimensions 30408 x 39740, type Pixel
    2. What coordinate system is used to represent geographic features?
      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: -123.00000
      Latitude_of_Projection_Origin: 0.00000
      False_Easting: 500000.0
      False_Northing: 0.00
      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.250
      Ordinates (y-coordinates) are specified to the nearest 0.250
      Planar coordinates are specified in Meters
      The horizontal datum used is North American Datum of 1983, 2011 realization (NAD83(2011))..
      The ellipsoid used is GRS 1980.
      The semi-major axis of the ellipsoid used is 6378137.00.
      The flattening of the ellipsoid used is 1/298.257222101.
      Vertical_Coordinate_System_Definition:
      Altitude_System_Definition:
      Altitude_Datum_Name: North America Vertical Datum of 1988 (NAVD88)
      Altitude_Resolution: 0.001
      Altitude_Distance_Units: meters
      Altitude_Encoding_Method:
      Explicit elevation coordinate included with horizontal coordinates
  7. How does the data set describe geographic features?
    GeoTIFF
    GeoTIFF containing elevation values. (Source: Producer defined)
    N/A
    Elevation relative to the North American vertical datum of 1988 (NAVD88) (Source: Producer defined)
    Range of values
    Minimum:281.829
    Maximum:660.942
    Units:meters
    Resolution:0.001

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Joshua B. Logan
    • Amy E. East
    • Andrew C. Ritchie
  2. Who also contributed to the data set?
    Data collection was funded by the U.S. Geological Survey. Data acquisition was conducted by The 111th Group Aerial Photography. Data processing was done by the U.S. Geological Survey.
  3. To whom should users address questions about the data?
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Attn: PCMSC Science Data Coordinator
    2885 Mission Street
    Santa Cruz, CA

    831-427-4747 (voice)
    pcmsc_data@usgs.gov

Why was the data set created?

This digital surface model (DSM) was created to help evaluate the initial post-fire conditions on the exposed margins of Whiskeytown Lake as well as the exposed, unvegetated portions of the surrounding watersheds. It is intended for use by scientists, managers, and the general public. The DSM can be used with geographic information systems (GIS) software for research purposes.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 02-Dec-2018 (process 1 of 4)
    Aerial imagery was collected by the 111th Group, Inc. on 2018-12-02 between 20:18 and 21:39 Universal Coordinated Time (UTC) (13:18 to 14:39 Pacific Standard Time (PST)), using a Nikon D-850 mounted in a nadir orientation. The imagery was acquired from an approximate altitude of 610 meters (2,000 feet) above ground level, to produce a nominal ground sample distance (pixel size) of 5 centimeters (2 inches). A total of 1,881 images were acquired in the survey area, with an approximate 70 percent along-line image overlap (forelap) and 50 percent side-to-side overlap (sidelap). An onboard single-frequency GPS receiver was used to record the precise shutter time and approximate position of each image. Person who carried out this activity:
    Patrick Belanger
    The 111th Group Inc
    13025 Murphy Ave. Suite 100
    San Martin, CA

    408-683-9111 (voice)
    pat@the111th.com
    Date: 16-May-2019 (process 2 of 4)
    Ground control was established after the image acquisition by measuring the positions of approximately 43 photo-identifiable marks or objects using survey-grade post-processed-kinematic (PPK) GPS equipment. All measurements were referenced to a static base station operating on a temporary benchmark within the survey area. The position of the base station was established using the National Geodetic Survey Online Positioning User Service (OPUS). Person who carried out this activity:
    Joshua Logan
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    2885 Mission Street
    Santa Cruz, CA

    831-460-7519 (voice)
    jlogan@usgs.gov
    Date: 2019 (process 3 of 4)
    Structure from Motion (SfM) processing techniques were used to create the Digital Surface Model and Orthomosaic in the Agisoft Photoscan/Metashape software package using the following work flow: 1. Imagery was geotagged using a combination of post-processed-kinematic (PPK)GPS positions and DGPS positions from the onboard single-frequency GPS unit. 2. Initial image alignment was performed with the following parameters - Accuracy: 'high'; Pair selection: 'reference', 'generic'; Key point limit: 0 (unlimited); Tie point limit: 0 (unlimited). 3. Optimization and lens calibration parameters f, cx, cy, k1, k2, k3, p1, and p2 were included. 4. Ground control points (GCPs) previously measured with PPK GPS were manually identified and placed in the imagery. 5. Sparse point cloud error reduction was performed using an iterative gradual selection and camera optimization process with the following parameters: Reconstruction Uncertainty: 10; Projection Accuracy: 3; Reconstruction Error: 0.3. 6. A dense point cloud was created using the 'high' accuracy setting, with 'aggressive' depth filtering. 7. Ground and low-noise points were identified using the ' Classify Ground Points' tool with the following parameters: Max. Angle: 15 degrees; Max. Distance: 0.5 meters; Cell Size: 5 meters. Due to the prevalence of vegetation and tree cover in most areas, it is not expected that this step removed all of the vegetation points. The dense point cloud was exported to LAZ format. 8. An initial Digital Surface Model (DSM) with a native resolution of 0.104 meters per pixel was created using the ground classified points from the dense point cloud. An exterior boundary was digitized and used as a clipping mask to exclude obvious edge artifacts and large areas of interpolation. The DSM was exported to a GeoTIFF format with a 0.250-meter pixel resolution. 9. An RGB orthomosaic with a native resolution of 0.052 meters per pixel was created using the DSM as the orthorectification surface. The orthomosaic was exported to a GeoTIFF format at two resolutions: 0.060-meter pixels, and 0.250-meter pixels. 10. The shoreline boundary was manually digitized in QGIS using the orthomosaic as a visual reference. This was used as a clipping mask to remove water surface areas from the DSM using QGIS/GDALWARP. 11. The DSM was converted to a cloud optimized GeoTIFF format for compatibility with cloud storage services using the GDAL software package. The DSM was compressed using the lossless Deflate compression method, and NoData value set to -32767. A hillshade of the DSM was created in cloud optimized GeoTIFF format using GDAL . Person who carried out this activity:
    Joshua Logan
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    2885 Mission Street
    Santa Cruz, CA

    831-460-7519 (voice)
    jlogan@usgs.gov
    Date: 19-Oct-2020 (process 4 of 4)
    Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    No formal attribute accuracy tests were conducted.
  2. How accurate are the geographic locations?
    Horizontal positional accuracy was evaluated by comparing the positions of 15 independent photo-identifiable ground control check points measured with survey-grade post-processed kinematic (PPK) GPS with their estimated positions derived from the structure from motion (SfM) processing workflow. The root-mean-square error (RMSE) of the residual values of the measured positions versus the SfM-estimated positions was 0.154 meters. It should be noted that this estimate is for unvegetated, bare ground areas only. Additional sources of error such as noise or blurriness within the source imagery, poor terrain reconstruction in areas of uniform color and texture such as roads and parking lots, poor terrain reconstruction on small islands surrounded by water, and vegetation artifacts may cause additional errors in portions of the DSM which are likely outside the stated uncertainty bounds.
  3. How accurate are the heights or depths?
    Vertical positional accuracy was evaluated by comparing the elevations of 15 independent photo-identifiable ground control check points measured with survey-grade post-processed kinematic (PPK) GPS with their estimated elevations derived from the structure from motion (SfM) processing workflow. The root-mean-square error (RMSE) of the residual values of the measured positions versus the SfM-estimated elevations was 0.162 meters. It should be noted that this estimate is for unvegetated, bare ground areas only. Additional sources of error such as noise or blurriness within the source imagery, poor terrain reconstruction in areas of uniform color and texture such as roads and parking lots, poor terrain reconstruction on small islands surrounded by water, and vegetation artifacts may cause additional errors in portions of the DSM which are likely outside the stated uncertainty bounds.
  4. Where are the gaps in the data? What is missing?
    Dataset 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.
  5. How consistent are the relationships among the observations, including topology?
    No formal logical accuracy tests were conducted.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
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. This information is not intended for navigation purposes.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? The DSM (Whiskeytown_2018-12-02_DSM_25cm.tif) and hillshade (Whiskeytown_2018-12-02_DSM_25cm_hll.tif) are available as Cloud Optimized GeoTIFF files.
  3. What legal disclaimers am I supposed to read?
    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.
  4. How can I download or order the data?
  5. What hardware or software do I need in order to use the data set?
    These data can be viewed with GIS software or other software capable of displaying geospatial raster data.

Who wrote the metadata?

Dates:
Last modified: 19-Oct-2020
Metadata author:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Attn: PCMSC Science Data Coordinator
2885 Mission Street
Santa Cruz, CA

831-427-4747 (voice)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_P9HEDYNT/Whiskeytown_2018-12-02_DSM_25cm.faq.html>
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