OR_shorelines_uncertainty.dbf - uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for Oregon

Metadata:

• Identification_Information
• Data_Quality_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: U.S. Geological Survey

Publication_Date: 2013

Title:

OR_shorelines_uncertainty.dbf - uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for Oregon

Geospatial_Data_Presentation_Form: tabular digital data

Series_Information:

Series_Name: Open-File Report

Issue_Identification: 2012-1008

Publication_Information:

Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA

Publisher: U.S. Geological Survey, Coastal and Marine Geology Program

Online_Linkage:

<http://pubs.usgs.gov/of/2012/1008/data/OR_shorelines_uncertainty.zip>

Larger_Work_Citation:

Citation_Information:

Originator: Meredith G. Kratzmann

Originator: Emily A. Himmelstoss

Originator: Peter Ruggiero

Originator: E. Robert Thieler

Originator: David Reid

Publication_Date: 2013

Title:

National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the Pacific Northwest Coast

Series_Information:

Series_Name: Open-File Report

Issue_Identification: 2012-1008

Publication_Information:

Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA

Publisher: U.S. Geological Survey, Coastal and Marine Geology Program

Online_Linkage: <http://pubs.usgs.gov/of/2012/1008/>

Description:

Abstract:

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.

There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Purpose:

This table includes: measurement and positional errors associated with the 2002 lidar shoreline for Oregon, a proxy-datum bias value that corrects for the unidirectional offset between the mean high water (MHW) elevation of the lidar and the high water line (HWL) shorelines, as well as a measurement uncertainty in the total water level.

The dataset contains a common attribute with the M-values stored for the lidar data within the OR_shorelines.shp. These data are used in conjunction with the shoreline file to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) National Assessment Project.

Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.2. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.

Supplemental_Information:

Cross-referenced citations are applicable to the dataset as a whole. Additional citations are located within individual process steps that pertain specifically to the method described in that step.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20020918

Ending_Date: 20021003

Currentness_Reference: ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -124.564644

East_Bounding_Coordinate: -123.915737

North_Bounding_Coordinate: 46.227854

South_Bounding_Coordinate: 41.999769

Keywords:

Theme:

Theme_Keyword_Thesaurus: General

Theme_Keyword: lidar uncertainty

Theme_Keyword: proxy-datum bias

Theme_Keyword: high water line offsets

Theme_Keyword: high water line uncertainty

Theme_Keyword: Shoreline Change

Theme_Keyword: Digital Shoreline Analysis System

Theme_Keyword: DSAS

Theme_Keyword: U.S. Geological Survey

Theme_Keyword: USGS

Theme_Keyword: Coastal and Marine Geology Program

Theme_Keyword: CMGP

Theme_Keyword: Woods Hole Coastal and Marine Science Center

Theme_Keyword: National Assessment of Shoreline Change Project

Theme_Keyword: National Oceanic and Atmospheric Administration

Theme_Keyword: NOAA

Theme_Keyword: Coastal Services Center

Theme_Keyword: CSC

Theme_Keyword: MHW

Theme_Keyword: Mean High Water

Theme_Keyword: HWL

Theme_Keyword: High Water Line

Theme_Keyword: Database IV format

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category

Theme_Keyword: oceans

Theme_Keyword: oceans and estuaries

Theme_Keyword: oceans and coastal

Theme_Keyword: environment

Theme_Keyword: geoscientificInformation

Place:

Place_Keyword_Thesaurus: General

Place_Keyword: Oregon

Place_Keyword: Cascade Longview

Place_Keyword: Umpqua Siletz

Place_Keyword: Seb Arago

Place_Keyword: Tillamook Bay

Place_Keyword: Pacific Coast

Place_Keyword: Pacific Northwest

Place_Keyword: Columbia River

Place_Keyword: United States

Place_Keyword: North America

Access_Constraints: None.

Use_Constraints:

Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: U.S. Geological Survey

Contact_Address:

Address_Type: mailing and physical address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543-1598

Country: USA

Contact_Voice_Telephone: 508-548-8700

Contact_Facsimile_Telephone: 508-547-2310

Native_Data_Set_Environment:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850

Cross_Reference:

Citation_Information:

Originator: Peter Ruggiero

Originator: Meredith Kratzmann

Originator: Emily Himmelstoss

Originator: E. Robert Thieler

Originator: David Reid

Publication_Date: 2013

Title:

National Assessment of Shoreline Change: Historical Shoreline Change along the Pacific Northwest Coast

Series_Information:

Series_Name: Open-File Report

Issue_Identification: 2012-1007

Publication_Information:

Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA

Publisher: U.S. Geological Survey, Coastal and Marine Geology Program

Online_Linkage: <http://pubs.usgs.gov/of/2012/1007/>

Cross_Reference:

Citation_Information:

Originator: E.R. Thieler

Originator: E.A. Himmelstoss

Originator: J.L. Zichichi

Originator: A. Ergul

Publication_Date: 2009

Title:

Digital Shoreline Analysis System (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change

Other_Citation_Details: Current version of software at time of use was 4.2

Online_Linkage: <http://pubs.usgs.gov/of/2008/1278/>

Online_Linkage:

<http://woodshole.er.usgs.gov/project-pages/dsas/version4/index.html>

Online_Linkage: <http://woodshole.er.usgs.gov/project-pages/dsas/>

Cross_Reference:

Citation_Information:

Originator:

Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC)

Publication_Date: Unknown

Title:

2002 NASA/USGS Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for California, Oregon, and Washington Coastlines

Publication_Information:

Publication_Place: Charleston, SC

Publisher: NOAA's Ocean Service, Coastal Services Center (CSC)

Other_Citation_Details: <http://www.csc.noaa.gov/digitalcoast/data/coastallidar/>

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

The attributes in this table record positional and measurement uncertainties and datum offsets calculated during the process of extracting an operational mean high water shoreline from the lidar data as described in the process steps. The field names are based on the requirements for use within the Digital Shoreline Analysis System (DSAS) software (USGS Open-File Report 2008-1278).

Logical_Consistency_Report:

Each row contains data associated with an individual vertex point along the lidar shoreline in OR_shorelines.shp.

Completeness_Report:

The table only contains data where a mean high water shoreline point could be extracted from the lidar.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

The lidar shoreline from 2002 has an average positional uncertainty of plus or minus 3.6 meters (average for the Pacific Northwest is 4.1 meters). Please visit the 'Uncertainties and Errors' section in the corresponding USGS Open-File Report (<http://pubs.usgs.gov/of/2012/1007/>) for a complete explanation of measurement uncertainties.

Lineage:

Process_Step:

Process_Description:

An operational Mean High Water (MHW) shoreline was extracted from the lidar surveys using a method similar to the one developed by Stockdon et al. (2002). Shorelines were extracted from cross-shore profiles which consist of bands of lidar data 2 m wide in the alongshore direction and spaced every 40 m along the coast. For each profile, the seaward sloping foreshore points were identified and a linear regression was fit through them. The regression was evaluated at the operational MHW elevation to yield the cross-shore position of the MHW shoreline. If the MHW elevation was obscured by water points, or if a data gap was present at MHW, the linear regression was simply extrapolated to the operational MHW elevation. A lidar positional uncertainty associated with this point was also computed. The horizontal offset between the datum-based lidar MHW shoreline and the proxy-based historical shorelines nearly always acts in one direction and the "bias" value was computed at each profile (Ruggiero and List, 2009). In addition an uncertainty associated with the bias was also computed, which can also be thought of as the uncertainty of the HWL shorelines due to water level fluctuations.

Repeating this procedure at successive profiles generated a series of X,Y points that contain a lidar positional uncertainty, a bias, and a bias uncertainty value.

Ruggiero, P. and List, J.H., 2009. Improving Accuracy and Statistical Reliability of Shoreline Position and Change Rate Estimates. Journal of Coastal Research: v.25, n.5, pp.1069-1081.

Stockdon, H.F., Sallenger, A.H., List, J.H., and Holman, R.A., 2002. Estimation of Shoreline Position and Change using Airborne Topographic Lidar Data: Journal of Coastal Research, v.18, n.3, pp.502-513.

Process_Date: 2010

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Kathryn Weber

Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

Contact_Address:

Address_Type: mailing and physical address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543-1598

Country: USA

Contact_Voice_Telephone: 508-548-8700

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: kweber@usgs.gov

Process_Step:

Process_Description:

The series of operational MHW points extracted from the cross-shore lidar profiles were converted to a .dbf file storing the lidar positional uncertainty, the bias correction value, and the uncertainty of the bias correction for each point of the original lidar data. During the rate calculation process DSAS uses linear referencing to retrieve the uncertainty and bias values stored in the associated table.

For a detailed explanation of the method used to store bias and uncertainty data in a table, please refer to Appendix 2, section 12.3 in the DSAS user guide:

Himmelstoss, E.A. 2009. "DSAS 4.0 Installation Instructions and User Guide" in: Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Ergul, Ayhan. 2009. Digital Shoreline Analysis System (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2008-1278. <http://woodshole.er.usgs.gov/project-pages/dsas/version4/images/pdf/DSASv4_2.pdf>

Process_Date: 2010

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Emily Himmelstoss

Contact_Organization: U.S. Geological Survey

Contact_Position: Geologist

Contact_Address:

Address_Type: mailing and physical address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543-1598

Country: USA

Contact_Voice_Telephone: 508-548-8700 x2262

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: ehimmelstoss@usgs.gov

Process_Step:

Process_Description:

The shoreline uncertainty table (.dbf) was imported into a personal geodatabase in ArcCatalog v9.3 by right-clicking on the geodatabase > Import > Table (single). The uncertainty table was used with the Digital Shoreline Analysis System (DSAS) v4.2 software to perform rate calculations.

Process_Date: 2011

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Meredith Kratzmann

Contact_Organization: U.S. Geological Survey

Contact_Address:

Address_Type: mailing address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543

Country: USA

Contact_Voice_Telephone: 508-548-8700

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: mkratzmann@usgs.gov

Process_Step:

Process_Description:

The shoreline uncertainty table was exported from the personal geodatabase back to a stand-alone dBase file using ArcCatalog v9.3 by right-clicking on the database file > Export > To dBase file (single) for publication purposes.

Process_Date: 2011

Process_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Meredith Kratzmann

Contact_Organization: U.S. Geological Survey

Contact_Address:

Address_Type: mailing address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543

Country: USA

Contact_Voice_Telephone: 508-548-8700

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: mkratzmann@usgs.gov

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: OR_shorelines_uncertainty

Entity_Type_Definition: uncertainty table

Entity_Type_Definition_Source: U.S. Geological Survey

Attribute:

Attribute_Label: OID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute:

Attribute_Label: ID

Attribute_Definition:

This field is case-sensitive and name specific. The field contains a cross-shore lidar profile ID stored as the M-value (measure value) at each vertex in the calibrated shoreline route. This serves as the link between the lidar shoreline and the uncertainty table and must be a unique number at each point.

Attribute_Definition_Source: U.S. Geological Survey

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 167

Range_Domain_Maximum: 25138

Attribute:

Attribute_Label: UNCY

Attribute_Definition:

This field heading is case-sensitive and name specific. The field contains the plus/minus horizontal uncertainty (meters) in the lidar shoreline position at each cross-shore beach profile. For details on the components that make up this uncertainty, refer to the Methods section of USGS Open-File report 2012-1007 cross-referenced in the metadata.

Attribute_Definition_Source: U.S. Geological Survey

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 0.82

Range_Domain_Maximum: 41.52

Attribute_Units_of_Measure: meters (UTM zone 10N WGS 84)

Attribute:

Attribute_Label: BIAS

Attribute_Definition:

This field heading is case-sensitive and name specific. The field contains a proxy-datum bias value describing the unidirectional horizontal offset (in meters) between the MHW elevation of the lidar data and HWL shoreline positions.

Attribute_Definition_Source: U.S. Geological Survey

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 19.88

Range_Domain_Maximum: 50.63

Attribute_Units_of_Measure: meters (UTM zone 10N WGS 84)

Attribute:

Attribute_Label: UNCYB

Attribute_Definition:

This field heading is case-sensitive and name specific. The field contains the uncertainty in the calculated proxy-datum bias value (BIAS) in meters.

Attribute_Definition_Source: U.S. Geological Survey

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 8.319

Range_Domain_Maximum: 25.248

Attribute_Units_of_Measure: meters (UTM zone 10N WGS 84)

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: U.S. Geological Survey

Contact_Address:

Address_Type: mailing and physical address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543-1598

Country: USA

Contact_Voice_Telephone: 508-548-8700

Contact_Facsimile_Telephone: 508-457-2310

Resource_Description: Downloadable Data

Distribution_Liability:

Neither the U.S. Government, the Department of the Interior, nor the USGS, 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 information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials.

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

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: dBase

Format_Version_Number: IV

Format_Specification: .dbf file format storing structured attribute data

Format_Information_Content:

This dBase file contains lidar positional and measurement uncertainties, proxy-datum bias offset values, and total water level uncertainties used when calculating rates in the Digital Shoreline Analysis System (DSAS) software. This database file is available in a WinZip file with associated metadata.

File_Decompression_Technique: no compression applied

Transfer_Size: 126 KB

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name:

<http://pubs.usgs.gov/of/2012/1008/data/OR_shorelines_uncertainty.zip>

Access_Instructions: Data are downloadable via the World Wide Web (WWW).

Fees: None

Technical_Prerequisites:

These data are available in dBase file format. The user must have software capable of reading or importing the dBase formatted data file.

Metadata_Reference_Information:

Metadata_Date: 20130612

Metadata_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Meredith Kratzmann

Contact_Organization: U.S. Geological Survey

Contact_Address:

Address_Type: mailing address

Address: 384 Woods Hole Road

City: Woods Hole

State_or_Province: MA

Postal_Code: 02543-1598

Country: USA

Contact_Voice_Telephone: 508-548-8700

Contact_Facsimile_Telephone: 508-457-2310

Contact_Electronic_Mail_Address: mkratzmann@usgs.gov

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Extensions:

Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>

Profile_Name: ESRI Metadata Profile