Cheryl Hapke
David Reid
2006
CENCAL_BIASVALUES - Central California Shoreline Bias Values
1.1
vector digital data
Open-File Report
2006-1251
Pacific Science Center, Santa Cruz, CA
U.S. Geological Survey
https://doi.org/10.3133/ofr20061251
Cheryl Hapke
David Reid
2006
National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the Sandy Shorelines of the California Coast
1.1
Open-File Report
2006-1251
Pacific Science Center, Santa Cruz, CA
U.S. Geological Survey
https://doi.org/10.3133/ofr20061251
The USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. These shorelines were used to calculate long-term and short-term change rates in a GIS using the Digital Shoreline Analysis System (DSAS) version 3.0; An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2005-1304, Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Miller, T.M. Shoreline vectors derived from historic sources (first three time periods) represent the high water line (HWL) at the time of the survey, whereas modern shorelines (final time period) represent the mean high water line (MHW). Changing the shoreline definition from a proxy-based physical feature that is uncontrolled in terms of an elevation datum (HWL) to a datum-based shoreline defined by an elevation contour (MHW) has important implications with regard to inferred changes in shoreline position and calculated rates of change. This proxy-datum offset is particularly important when averaging shoreline change rates alongshore. Since the proxy-datum offset is a bias, virtually always acting in the same direction, the error associated with the apparent shoreline change rate shift does not cancel during averaging and it is important to quantify the bias in order to account for the rate shift. The shoreline change rates presented in this report have been calculated by accounting for the proxy-datum bias.
Historical shoreline change is considered to be a crucial element in studying the vulnerability of the national shoreline. These data are used in a shoreline change analysis for the U.S. Geological Survey (USGS) National Assessment Project.
2006
publication date
Unknown
-123.010701
-120.001241
38.201953
34.445401
-123.010701
-120.001241
38.201953
34.445401
USGS Metadata Identifier
USGS:915c9b46-a334-4e53-9eaa-f53f90d8ad2c
None
Shoreline
Historic Shoreline
Shoreline Change Rate
Linear Regression Rate
Endpoint Rate
Baseline
Beach Erosion
T-sheet
Tp-sheet
Coastal Survey Map
Bias
Offset
U.S. Geological Survey
USGS
Coastal and Marine Geology Program
CMGP
ESRI polyline shapefile
ISO 19115 Topic Category
oceans
environment
geoscientificInformation
Marine Realms Information Bank (MRIB) keywords
effects of coastal change
coastal processes
shoreline accretion
shoreline erosion
USGS Thesaurus
Beach Nourishment
LIDAR
coastal processes
erosion
shoreline accretion
Coastal and Marine Ecological Classification Standard (CMECS)
Continental/Island Shore Complex
General
United States
California
Coastal and Marine Ecological Classification Standard (CMECS)
Northern California Ecoregion
Coastal and Marine Ecological Classification Standard (CMECS)
Substrate
None
Public domain data from the U.S. government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information.
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060-5792
US
831-427-4747
pcmsc_data@usgs.gov
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.780
Cheryl J. Hapke
David Reid
Bruce M. Richmond
Peter Ruggiero
Jeff List
2006
National Assessment of Shoreline Change Part 3: Historical Shoreline Change and Associated Coastal Land Loss Along Sandy Shorelines of the California Coast
1.0
Open-File Report
2006-1219
Pacific Science Center, Santa Cruz, CA
U.S. Geological Survey
http://pubs.usgs.gov/of/2006/1219/
E. Robert Thieler
Emily A. Himmelstoss
Jessica L. Zichichi
Tara L. Miller
2005
The Digital Shoreline Analysis System (DSAS) version 3.0, an ArcGIS Extension for Calculating Historic Shoreline Change
3.0
Open-File Report
2005-1304
Woods Hole Science Center, Woods Hole, MA
U.S. Geological Survey
http://woodshole.er.usgs.gov/project-pages/DSAS/version3/
Laura Moore
Peter Ruggiero
Jeff List
2006
Comparing mean high water and high water line shorelines: Should proxy-datum offsets be incorporated in shoreline change analysis.
Journal of Coastal Research
v.22, n.4, pp. 894-905
Royal Palm Beach, FL
Coastal Education and Research Foundation
The proxy-datum bias, and the associated uncertainty, is calculated at each of the 1-km blocks in which the average beach slope has been calculated. The nearest WIS station, wave buoy, and tide gage to each individual 1-km block were used in the application of Equation 1. Once the bias was calculated, it was incorporated into DSAS and applied on a transect-by-transect basis, so that the estimated bias is removed from the final long- and short-term shoreline change rates.
The bias, averaged over 815 1-km sections of the California coast, was approximately 18 m with an average uncertainty of approximately 8.7m.
The bias uncertainty, averaged over 815 1-km sections of the California coast, was approximately 18 m with an average uncertainty of approximately 8.7m. Please see the Open-File Report for more information (http://pubs.usgs.gov/of/2006/1219/)
In order to calculate the bias, as well as the bias uncertainty, for this regional shoreline change analysis, long-term best estimates and measures of uncertainty are derived for beach slope, wave height, wave length, and tide level. The best estimate for beach slope was derived by averaging individual lidar transect slope estimates within 1-km blocks along the coast. We take the long-term mean wave height and length to be the best estimate to use in the bias calculation. The long-term mean wave height is derived from USACOE Wave Information Studies (WIS) hindcasts while the long-term mean wave length is derived from long-term buoy records (NDBC and CDIP) along the California Coast. Finally, the best estimate of the tide level responsible for generating HWL shorelines is taken as the elevation of MHW. The measures of uncertainty for the beach slope, wave height, and wave length are estimated as the difference between the 95% exceedance statistic and the 50% exceedance statistic of the cumulative distributions. This gives a 90% confidence interval on each of the cumulative distributions. The uncertainty of assuming that the tide responsible for leaving HWL-type shorelines was at MHW is calculated simply by MHHW-MHW. The proxy-datum bias, and the associated uncertainty, is calculated at each of the 1-km blocks in which the average beach slope has been calculated. The nearest WIS station, wave buoy, and tide gage to each individual 1-km block were used in the application of Equation 1. Once the bias was calculated, it was incorporated into DSAS and applied on a transect-by-transect basis, so that the estimated bias is removed from the final long- and short-term shoreline change rates. The bias, averaged over 815 1-km sections of the California coast, was approximately 18 m with an average uncertainty of approximately 8.7m.
Please See Below References for More information about the procedure:
Ruggiero, P., Kaminsky, G.M., and Gelfenbaum, G., 2003, Linking proxy-based and datum-based shorelines on a high-energy coastline: Implications for shoreline change analyses: Journal of Coastal Research Special Issue 38, p. 57-82.
Moore, L.J., Ruggiero, P.R. and List, J., 2006. Comparing high water line and datum-based shorelines: Implications for shoreline change. Journal of Coastal Research, v.22, n.4, pp.
894-905. Process date is estimated.
2002
Bruce Richmond
U.S. Geological Survey
mailing and physical address
Pacific Science Center
2885 Mission Street
Santa Cruz
Ca
95060
USA
(831) 427-4450
(831) 427-4748
Monday through Friday, 8 a.m. to 5 p.m., Pacific Standard Time
Data were projected from UTM zone 10 to geographic with Datum shift from NAD27 to NAD83_6
Tool: ArcGIS > ArcToolbox > Toolboxes > Data Management Tools > Project
Command issued:
['GCS_North_American_1983',DATUM['D_North_American_1983',
SPHEROID['GRS_1980',6378137.0,298.257222101]],
PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]
NAD_1927_To_NAD_1983_6
20070215
Emily Himmelstoss
U.S. Geological Survey
Geologist
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2262
(508) 457-2310
ehimmelstoss@usgs.gov
Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog.
20170207
U.S. Geological Survey
Alan O. Allwardt
Contractor -- Information Specialist
mailing and physical address
2885 Mission Street
Santa Cruz
CA
95060
831-460-7551
831-427-4748
aallwardt@usgs.gov
Added keywords from Coastal and Marine Ecological Classification Standard (CMECS) to metadata.
20180426
U.S. Geological Survey
Alan O. Allwardt
Contractor -- Information Specialist
mailing and physical address
2885 Mission Street
Santa Cruz
CA
95060
831-460-7551
831-427-4748
aallwardt@usgs.gov
Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed.
20201019
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Edited metadata to 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.
20211025
U.S. Geological Survey
Susan Cochran
Geologist
Mailing and Physical
2885 Mission Street
Santa Cruz
CA
95060
831-460-7545
scochran@usgs.gov
Vector
String
15126
0.000001
0.000001
Decimal degrees
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Cencal_BiasValues
Bias Uncertainty Values
USGS
FID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
ID
Feature number.
U.S. Geological Survey
Sequential Numbers defining the features.
DESCR
Detailed description of the feature.
U.S. Geological Survey
Describes additional characteristics of feature.
BIAS
Shoreline Bias Value
USGS
10.1
24.2
meters
0.1
LT_MaxMin
Long-Term Bias Uncertainty
USGS
5.7
15.9
meters
0.1
ST_MaxMin
Short Term Bias Uncertainty
USGS
9.9
27.5
meters
0.1
U.S. Geological Survey
mailing and physical address
Pacific Science Center
2885 Mission Street
Santa Cruz
Ca
95060
USA
(831) 427-4450
(831) 427-4748
Monday through Friday, 8 a.m. to 5 p.m., Eastern Standard Time
Downloadable Data: USGS Open-File Report 2006-1251
Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, these data and information are provided with the understanding that they are not guaranteed to be usable, timely, accurate, or complete. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Conclusions drawn from, or actions undertaken on the basis of, such data and information are the sole responsibility of the user.
Neither the U.S. Government nor any agency thereof, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any data, software, information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights.
Trade, firm, or product names and other references to non-USGS products and services are provided for information only and do not constitute endorsement or warranty, express or implied, by the USGS, USDOI, or U.S. Government, as to their suitability, content, usefulness, functioning, completeness, or accuracy.
shapefile
20060901
ESRI polyline shapefile
Seven files comprise the ArcView shapefile: <filename>.dbf, <filename>.shp, <filename>.shx, <filename>.prj, <filename>.avl, <filename>.sbx, <filename>.sbn
zip archive
0.038
http://pubs.usgs.gov/of/2006/1251/CCal.zip
http://pubs.usgs.gov/of/2006/1251/#gis
Data may be downloaded via the World Wide Web (WWW).
None
These data are available in Environmental Systems Research Institute (ESRI) shapefile format. The user must have ArcGIS or ArcView 3.0 or greater software to read and process the data file. In lieu of ArcView or ArcGIS, the user may utilize another GIS application package capable of importing the data. A free data viewer, ArcExplorer, capable of displaying the data is available from ESRI at www.esri.com.
20211025
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060-5792
US
831-427-4747
pcmsc_data@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time