Arc ASCII and GeoTiff DEMs of the North-Central California Coast (DEM_#_ASCII and DEM_#_GeoTIFF)

Metadata also available as - [Questions & Answers] - [Parseable text] - [XML]

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Amy C. Foxgrover
Originator: Patrick L. Barnard
Publication_Date: 2012
Title:
Arc ASCII and GeoTiff DEMs of the North-Central California Coast (DEM_#_ASCII and DEM_#_GeoTIFF)
Edition: Version 1.0
Geospatial_Data_Presentation_Form: raster digital data
Larger_Work_Citation:
Citation_Information:
Originator: Amy C. Foxgrover
Originator: Patrick L. Barnard
Publication_Date: 2012
Title:
A Seamless, High-Resolution Digital Elevation Model (DEM) of the North-Central California Coast
Edition: Version 1.0
Series_Information:
Series_Name: U.S. Geological Survey Data Series
Issue_Identification: Data Series 684
Online_Linkage: https://doi.org/10.3133/ds684
Description:
Abstract:
A seamless, 2 meter resolution digital elevation model (DEM) was constructed for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the north-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 m elevation contour.
Purpose:
This DEM dataset was constructed to provide critical model boundary conditions (bathymetry and topography) necessary to predict the impacts of severe winter storms and sea level rise along this stretch of coast, using the Coastal Storm Modeling System (CoSMoS). This process-based modeling system was first applied along the coast of Southern California (Barnard and others, 2009). CoSMoS can be run in real-time or with prescribed scenarios, incorporating atmospheric forcing information (wind and pressure fields) with a suite of state-of-the-art physical process models (WaveWatch3, SWAN, XBeach, Delft3D) to enable detailed prediction of water levels, run-up, wave heights, and currents, ultimately predicting the spatial distribution of coastal flooding, inundation, erosion, and cliff failure. The DEM was constructed to define the general shape of the nearshore, beach and cliff surfaces as accurately as possible, with less emphasis on the detailed variations in elevation inland of the coast and on bathymetry inside harbors. As a result this DEM should not be used for navigation purposes.
Supplemental_Information:
Additional information about the USGS field activities from which some of these data were derived is available online at:
https://cmgds.marine.usgs.gov/fan_info.php?fan=o1209ca
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Although this Federal Geographic Data Committee-compliant metadata file is intended to document the dataset in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1984
Ending_Date: 2011
Currentness_Reference:
topography at time underlying dataset was collected (See Source Information)
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -123.158145
East_Bounding_Coordinate: -122.393965
North_Bounding_Coordinate: 38.352385
South_Bounding_Coordinate: 37.407828
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:148215af-7e40-43dc-bb8c-bfbf0bfa2f52
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: coastal
Theme_Keyword: beaches
Theme_Keyword: ocean
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: elevation
Theme_Keyword: geoscientificInformation
Theme_Keyword: oceans
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: bathymetry
Theme_Keyword: bathymetry measurement
Theme_Keyword: sea-floor characteristics
Theme_Keyword: geospatial datasets
Theme_Keyword: digital elevation models
Theme_Keyword: hazards
Theme:
Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD)
Theme_Keyword: BATHYMETRY
Theme_Keyword: SEAFLOOR TOPOGRAPHY
Theme_Keyword: Light Detection and Ranging
Theme_Keyword: Multibeam Swath Bathymetry System
Theme_Keyword: Digital Elevation Model
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Central California
Place_Keyword: California
Place_Keyword: USA
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: Half Moon Bay
Place_Keyword: Pacifica
Place_Keyword: Daly City
Place_Keyword: Bolinas
Place_Keyword: Palomarin Beach
Place_Keyword: Wildcat Beach
Place_Keyword: Drakes Bay
Place_Keyword: Point Reyes
Place_Keyword: Point Reyes Beach
Place_Keyword: Abbotts Lagoon
Place_Keyword: San Francisco Bay
Place_Keyword: Tomales Point
Place_Keyword: Tomales Bay
Place_Keyword: Bodega Bay
Place_Keyword: San Mateo County
Place_Keyword: San Francisco County
Place_Keyword: Marin County
Place_Keyword: Sonoma County
Place_Keyword: State of California
Place:
Place_Keyword_Thesaurus: GEOnet Names Server
Place_Keyword: North Pacific Ocean
Access_Constraints: None
Use_Constraints:
Majority of data (that is, lidar, multibeam bathymetry) derived from topographic/bathymetry data collected at 1-2 m horizontal resolution, with vertical uncertainty at time of data collection ranging from 10 cm to 1 m. Use at greater scales not advised. See full Data Series report for more information: Foxgrover, A.C., and Barnard, P.L., 2012, A seamless, high-resolution digital elevation model (DEM) of the north-central California coast: U.S. Geological Survey Data Series 684, 11 p. and datasets, available at https://doi.org/10.3133/ds684/.
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
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Country: USA
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Data_Set_Credit:
California State University, Monterey Bay (CSUMB) and Fugro Pelagos, Inc., for California State Waters Mapping Project (CSWMP) from Pat Iampietro; Pillar Point Harbor from Anne Sturm (U.S. Army Corps of Engineers); National Geophysical Data Center (NGDC); National Oceanic and Atmospheric Administration (NOAA); Marin County from Brian Quinn (County of Marin GIS Division of Community Development Agency); Bolinas Lagoon from Matt Brennan (ESA-PWA); Carignan, K.S., Taylor, L.A., Eakins, B.W., Caldwell, R.J., Friday, D.Z., Grothe, P.R., and Lim, E., 2011, Digital elevation models of central California and San Francisco Bay: Procedures, data sources and analysis: NOAA Technical Memorandum NESDIS NGDC-52, 49 p. and datasets, available at http://www.ngdc.noaa.gov/dem/squareCellGrid/download/741
Native_Data_Set_Environment:
Microsoft Windows 7 enterprise; ESRI ArcCatalog 10.0, Build 3600, Service Pack 3
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Refer to the DEM Accuracy and Limitations section in this Data Series for an explanation of the accuracy of the identification of the entities and assignments of values in the data set and a description of the tests used.
Logical_Consistency_Report:
Refer to the DEM Construction Methods section in this Data Series for an explanation of the fidelity of relationships in the dataset and tests used.
Completeness_Report:
Refer to the DEM Construction Methods section in this Data Series for information about omissions, selection criteria, generalization, definitions used, and other rules used to derive the dataset.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Refer to the DEM Accuracy and Limitations section in this Data Series for an explanation of the accuracy of the horizontal coordinate measurements and a description of the tests used.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Refer to the DEM Accuracy and Limitations section in this Data Series for an explanation of the accuracy of the vertical coordinate measurements and a description of the tests used.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: California State University, Monterey Bay
Publication_Date: Unknown
Title: Multibeam bathymetry
Other_Citation_Details: contact: Pat Iampietro <pat_iampietro@csumb.edu>
Online_Linkage: http://seafloor.csumb.edu/SFMLwebDATA.htm
Type_of_Source_Media: digital data - raster grids or ascii xyz text files
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2006
Ending_Date: 2010
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: CSUMB
Source_Contribution: Provided multibeam bathymetry for entire offshore study area.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey, lidar acquired by Terrapoint
Publication_Date: Unknown
Title: ARRA-CA_SanFranCoast_2010 lidar
Other_Citation_Details: contact: Carol Ostergren <costergren@usgs.gov>
Online_Linkage: http://lidar.cr.usgs.gov/
Type_of_Source_Media: digital data - raster grids
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201006
Ending_Date: 201011
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS
Source_Contribution:
Provided topographic lidar data for coastal region (to approximately +10 m elevation contour) for stretch of coast from Point Reyes to Point San Pedro
Source_Information:
Source_Citation:
Citation_Information:
Originator: San Francisco State University, lidar acquired by Earth Eye
Publication_Date: Unknown
Title: Golden Gate Lidar Project
Other_Citation_Details: contact: Ellen Hines <ehines@sfsu.edu>
Type_of_Source_Media: digital data - raster grids or ascii xyz text files
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201004
Ending_Date: 201007
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: SFSU
Source_Contribution:
Provided topographic lidar data for Marin County, San Francisco County, and portions of San Mateo and Sonoma counties.
Source_Information:
Source_Citation:
Citation_Information:
Originator: California State Ocean Protection Council
Publication_Date: Unknown
Title: 2010 Coastal CA Lidar, Delivery Area 3
Other_Citation_Details: contact: Sheila Semans <ssemans@scc.ca.gov>
Type_of_Source_Media: digital data - raster grids
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201009
Ending_Date: 201012
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: OPC
Source_Contribution:
Provided topographic lidar data in the vicinity of Bodega Bay and the southernmost region of Half Moon Bay (areas not covered by USGS or SFSU 2010 lidar)
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA National Geophysical Data Center
Publication_Date: 2011
Title:
Digital elevation models of central California and San Francisco Bay: Procedures, data sources and analysis. NOAA Technical Memorandum NESDIS NGDC-52
Online_Linkage: http://www.ngdc.noaa.gov/dem/squareCellGrid/download/741
Type_of_Source_Media: digital data - raster grids
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1922
Ending_Date: 2009
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: NGDC
Source_Contribution: Provided data for entire study area.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Army Corps of Engineers
Publication_Date: Unknown
Title: Pillar Point Harbor survey
Type_of_Source_Media: digital data - terrain dataset
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 200909
Ending_Date: 200910
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USACE
Source_Contribution: Provided bathy/topo DEM of Pillar Point Harbor
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2008
Title:
Interferometric Sidescan Bathymetry, Sediment and Foraminiferal Analyses; a New Look at Tomales Bay, California
Other_Citation_Details: USGS OFR 2008-1237
Type_of_Source_Media: digital data - raster grids
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 200411
Ending_Date: 200608
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS
Source_Contribution: Provided bathymetry data for Tomales Bay
Source_Information:
Source_Citation:
Citation_Information:
Originator:
GIS Division of Community Development Agency County of Marin
Publication_Date: unknown
Title: Marin County Terrain Dataset
Other_Citation_Details: contact: Brian Quinn <BQuinn@co.marin.ca.us>
Type_of_Source_Media: digital data - raster terrain datasets
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1931
Ending_Date: 2011
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: none
Source_Contribution: Provided bathy/topo terrain dataset for Marin County
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Environmental Science Associates, Philip Williams and Associates
Publication_Date: Unknown
Title: Bolinas Lagoon Bathymetry
Other_Citation_Details: contact: Matt Brennan <MBrennan@esassoc.com>
Type_of_Source_Media: digital data - raster grids
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1998
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: ESA PWA
Source_Contribution: Provided bathymetry for Bolinas Lagoon
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: Unknown
Title: O-12-09-CA
Other_Citation_Details: contact: Dan Hoover <dhoover@usgs.gov>
Online_Linkage: https://cmgds.marine.usgs.gov/fan_info.php?fan=o1209ca
Type_of_Source_Media: digital data - TIN converted to a raster
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 200911
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS
Source_Contribution: Provided data from Ocean Beach, San Francisco ATV/PWC survey
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1991
Title:
Pollution Studies of Drakes Estero, and Abbotts Lagoon Point Reyes National Seashore, California, USA
Online_Linkage: http://pubs.usgs.gov/of/1991/0145/report.pdf
Type_of_Source_Media: map - bathymetry contours
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1984
Ending_Date: 1986
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: USGS
Source_Contribution: Provided bathymetry for Drakes Estero
Process_Step:
Process_Description:
(Summary) Performed by Amy Foxgrover and Patrick Barnard: ArcGIS was the primary software used for DEM construction. For each individual DEM, the native data sets were mosaicked into a single grid to preserve the original surfaces as closely as possible. Prior to mosaicking, datasets were gridded and (or) resampled to 2 m resolution (if necessary), and their spatial extents modified according to the following guidelines: 1. Datasets of comparable quality (for example, overlapping multibeam data), collected over the same time period were not clipped. In these instances the overlapping regions were blended together using the "Blend" algorithm in the Mosaic to New Raster tool in Arc Toolbox. The exception to this is for topographic data along the shoreline. Multiple high-resolution aerial lidar surveys were collected along the shoreline in 2010. Since the nearshore is a very dynamic region that can be modified greatly by a single storm event, rather than blending multiple high-resolution datasets (which could produce unrealistic beach morphology) data from a single time period were selected for use. Where possible, we used data collected in the fall for nearshore elevations to minimize the potential of winter storm effects. 2. In overlapping regions where the quality of one dataset was clearly inferior to the other (for example, regional 10-m resolution DEMs overlapping with 2-m resolution lidar), the spatial extent of the inferior data set was clipped so there was minimal overlap, typically about ~20 m, with the superior dataset. The overlapping regions then were smoothed together using the Blend algorithm. This range of overlap was found to be the most efficient for ensuring a smooth transition between datasets while minimizing the use of lower quality data. The spatial extent of each dataset used is included as a GIS shapefile. In addition, the areas of overlap were typically well outside of the dynamic coastal zone, which was typically covered by a single lidar pass, so any blending should have minimal impact for this important region.
Process_Date: 2011
Process_Step:
Process_Description:
(Detailed DEM Construction Procedures) Performed by Amy Foxgrover and Patrick Barnard:

1. Divide study area into ~10 km alongshore segments
    A. Define DEM coverage area/polygon that extends ~10 km alongshore, from 3 nautical
       miles offshore inland beyond the +20 m topographic contour
    B. Ensure that adjacent DEM coverage areas overlap by ~250 m
2. Acquire most recent or highest resolution datasets in DEM coverage areas
    A. Lidar
    B. Multibeam bathymetry
    C. Local high-resolution beach topography (usually ATV-acquired) and nearshore bathymetry
       (usually PWC-acquired).
3. Fill gaps with older/lower resolution datasets
    A. Lower resolution DEMs - for example, NGDC's 10-m resolution tsunami inundation DEM,
       (Carignan and others, 2011) in Bodega Harbor
    B. Bathymetric data derived from single beam bathymetry - for example, 1980s survey in Drakes
       Estero and 1998 bathymetry in Bolinas Lagoon
4. Convert all datasets into identical horizontal coordinate system, vertical datum, and grid resolution
    A. Horizontal coordinate system: UTM NAD83 Zone 10 North
    B. Vertical Datum: NAVD88
        I.   If different [usually Mean Lower Low Water (MLLW)], convert using local NOAA tide station information
             [http://tidesandcurrents.noaa.gov/ (last accessed December 12, 2011)] based on survey metadata
    C. Grid resolution: 2 m
        I.   If already gridded at higher (<2 m) resolution, resample to 2 m using bilinear interpolation
        II.  If already gridded at a lower resolution (> 2m), export as xyz, reimport as xyz, create TIN
             (triangular irregular network), create 2-m grid from TIN using linear interpolation of the TIN triangles,
             and clip to survey extent
        III. Ungridded:
             a) Lower resolution surveys (for example, PWC-collected bathymetry): create TIN from points then
                convert to 2-m grid using linear interpolation of the TIN triangles
5. Clip datasets to DEM/coverage needs, if necessary
    A. Useful for data management and processing efficiency
    B. Necessary for very large datasets, such as county-wide lidar datasets (for example, Golden Gate Lidar Project data)
    C. Remove ocean water surfaces and offshore rocky outcrops/islands
        I.   Aerial topographic lidar from 2010 was provided as bare-earth hydro-flattened DEMs.  The breakline polygons provided
             with aerial lidar data were used to generate 2-m resolution grids of water surfaces over the ocean or tidal embayments
             where bathymetric data was to be inserted.  Use this grid to mask out water surfaces in the topographic DEM using the
             Set Null tool in Arc Toolbox.
        II.  Hydro-flattened surfaces of small inland water bodies were retained in the final DEM.  Since these areas are of less
             importance for this research, no attempt was made to obtain bathymetric depths for these inland ponds or lakes (for example,
             Lake Merced in San Francisco). Hydro-flattened features that were retained in the final DEM are provided in shapefile format.
        III. Extract small islands and rocky outcrops from topographic lidar datasets using breaklines provided.  These features are
             not included in the nearshore interpolation, but are incorporated into the final DEM in step 8.
6. Manage overlapping datasets
    A. Data sets were allowed to overlap extensively only if they are from the same time period, of comparable quality, and not within
       the dynamic nearshore region, otherwise allow only minimal (~10-30 m) overlap to ensure smooth DEM transitions
    B. Clip low-resolution datasets pushed to 2-m resolution, such as Personal Watercraft data and regional DEMs, to minimal overlap
       with adjacent high-resolution datasets (usually multibeam and topographic lidar)
    C. Clip topographic lidar so that only a single dataset is used for the coastal zone.  Where it exists, the USGS lidar is given highest
       preference in the nearshore zone because it was collected in the summer and fall of 2010 when the beach morphology was less likely to
       influenced by winter storm events.  The Golden Gate Lidar Project data are used for all reaches landward of the USGS lidar coverage (roughly
       10 m elevation and higher) and along the coastline where USGS lidar was not collected.  The OPC lidar is present only in two small sections
       that are not covered by USGS or GGLP lidar (within DEM sections 1 and 14).
7. Fill in data gaps between high-resolution datasets
    A. If no high-resolution data are available between the offshore multibeam bathymetry and coastal topographic lidar in protected
       harbors/embayments, or in other areas where interpolation from surrounding datasets will create a surface unlikely to reflect actual
       bathymetry/topography accurately, fill in gaps with regional DEMs or other low-resolution data sets. Otherwise, interpolate across gaps.
        I.   Filling in harbors or embayments using regional DEMs/other low-resolution data:
             a) Clip best available regional DEM or bathymetry to gap area, allowing only minimal overlap (~20 m) with adjacent high-resolution
                datasets
             b) Export clipped grid as xyz, reimport as points, create TIN, create 2-m grid from TIN, clip to gap extent
        II.  Interpolation across nearshore gaps:
             a) Create preliminary DEM using Mosaic tool with the following settings:
                Coordinate System: UTM Zone 10 North
                Pixel Type: 32 Bit Float
                Cell Size:  2
                Mosaic Method: Blend
                Mosaic Color Map: Last
             b) Create polygon of data gap(s) to fill within the preliminary DEM surface
             c) Buffer the data gap polygon with a linear distance of 20 m using the Buffer tool in Arc Toolbox
             d) Clip preliminary DEM using the buffered polygon, export clipped grid as xyz, reimport as points (fig. 3B), create TIN, create 2-m
                grid from TIN, clip to buffered gap extent
        III. Interpolation around perimeter of Bolinas Lagoon and Drakes Estero:
             a) Fill any narrow gaps between bathymetry grids of Bolinas Lagoon and Drakes Estero and the nearest high-resolution topography
                using the same procedure as used above for interpolating across nearshore gaps.
8. Compile final DEMs
    A. Load all datasets for DEM
    B. Verify all significant data gaps filled (few missing cells allowed) in DEM coverage area
    C. Build interim DEM using Mosaic to New Raster tool in ArcGIS with same setting as noted above in Step 7
    D. Build final DEM using Mosaic to New Raster tool in ArcGIS.  Input rasters are the above interim DEM and a grid of small islands or rocky
       outcrops obtained from lidar.  The islands are given top priority in the mosaicking algorithm so that island elevations from the lidar overwrite
       elevations from the nearshore interpolation.
    E. Clip output to DEM coverage area
    F. Create contours and plot cross-shore profiles to verify data quality and consistency
Process_Date: 2011
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
Process_Step:
Process_Description:
Edited metadata to add USGS Thesaurus keywords and perform minor edits to bring the metadata up to current PCMSC standards. No data were changed. The metadata available from a harvester may supersede metadata bundled within a download file. Users are advised to compare the metadata dates to determine which metadata file is most recent.
Process_Date: 20211020
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Susan Cochran
Contact_Position: Geologist
Contact_Address:
Address_Type: Mailing and Physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-460-7545
Contact_Electronic_Mail_Address: scochran@usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 8160
Column_Count: 7317
Vertical_Count: 1
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: 0.999600
Longitude_of_Central_Meridian: -123
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 2.000000
Ordinate_Resolution: 2.000000
Planar_Distance_Units: meters
Planar:
Local_Planar:
Local_Planar_Description:
Horizontal coordinate system
  Projected coordinate system name: NAD_1983_UTM_Zone_10N
  Geographic coordinate system name: GCS_North_American_1983
Local_Planar_Georeference_Information:
Bounding coordinates
  Horizontal
    In decimal degrees
      West: -123.158153
      East: -122.393890
      North: 38.352380
      South: 37.407828
    In projected or local coordinates
      Left: 486181.265800
      Right: 552960.575400
      Top: 4244913.485400
      Bottom: 4140283.683300
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 2.000000
Ordinate_Resolution: 2.000000
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: North American Vertical Datum 1988 (NAVD88)
Altitude_Resolution: 0.01
Altitude_Distance_Units: meters
Altitude_Encoding_Method: Attribute values
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview: raster grid with elevations in meters
Entity_and_Attribute_Detail_Citation: none
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey (USGS)
Contact_Person: Patrick L Barnard
Contact_Position: Research Geologist
Contact_Address:
Address_Type: mailing and physical address
Address: USGS, 400 Natural Bridges Drive
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Country: USA
Contact_Voice_Telephone: (831) 460-7556
Contact_Facsimile_Telephone: (831) 427-4748
Contact_Electronic_Mail_Address: pbarnard@usgs.gov
Resource_Description:
U.S. Geological Survey Data Series 684. DEMs are available in both ArcInfo ASCII Grids and as GeoTIFFs. Download transfer size represents the file size of the (larger) zip file containing the GeoTIFFs.
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: GeoTiff
Format_Version_Number: 10.0
File_Decompression_Technique: windows winzip or unix gunzip
Transfer_Size: 1230
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.3133/ds684
Fees: none
Metadata_Reference_Information:
Metadata_Date: 20211020
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
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Country: USA
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/SeriesReports/DS_DDS/DS_684/NCenCA_DEM_FGDCmetadata.html>
Generated by mp version 2.9.50 on Thu Oct 21 09:29:12 2021