Alabama: transects with short-term (ST) shoreline change rate calculations

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Meredith G. Kratzmann
Publication_Date: 20260622
Title:
Alabama: transects with short-term (ST) shoreline change rate calculations
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P1JE2KSO
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Online_Linkage: https://doi.org/10.5066/P1JE2KSO
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Meredith G. Kratzmann
Originator: Amy S. Farris
Originator: Kathryn M. Weber
Publication_Date: 2026
Title:
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2020s for the coast of Alabama
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P1JE2KSO
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
suggested citation: Kratzmann, M.G., Farris, A.S., and Weber, K.M., 2026, National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2020s for the coast of Alabama: U.S. Geological Survey data release, https://doi.org/10.5066/P1JE2KSO.
Online_Linkage: https://doi.org/10.5066/P1JE2KSO
Online_Linkage:
Description:
Abstract:
The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from various historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. Shorelines are compiled in a Geographic Information System (GIS) and analyzed in the USGS Digital Shoreline Analysis System (DSAS) software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. The shoreline positions and shoreline change rates provide actionable information to homeowners, coastal communities, and managers of public and private properties to improve resiliency for coastal hazards.
Purpose:
Shoreline positions were compiled for Alabama from the mid-1800s through the 2020s. A subset of these data (1998-2022) were used to calculate short-term (decadal-scale) shoreline change rates using the Digital Shoreline Analysis System (DSAS) software developed by the U.S. Geological Survey. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline, establishing measurement points which provide location and time information used to calculate rates of change. Rate calculations were computed using DSAS version 6.1.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2026
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -88.348520
East_Bounding_Coordinate: -87.518227
North_Bounding_Coordinate: 30.291621
South_Bounding_Coordinate: 30.217113
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: geoscientificInformation
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Shoreline change rate
Theme_Keyword: Short-term shoreline change rate
Theme_Keyword: Linear Regression Rate
Theme_Keyword: LRR
Theme_Keyword: End point rate
Theme_Keyword: EPR
Theme_Keyword: Transect
Theme_Keyword: Digital Shoreline Analysis System
Theme_Keyword: DSAS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: coastal processes
Theme_Keyword: erosion
Theme_Keyword: shoreline accretion
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:69e2b06db66b0195694c11eb
Place:
Place_Keyword_Thesaurus: GNIS
Place_Keyword: State of Alabama
Place_Keyword: Dauphin Island
Place_Keyword: Fort Morgan Alabama
Place_Keyword: Gulf Shores
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Gulf Coast
Place_Keyword: Bon Secour National Wildlife Refuge
Place_Keyword: United States of America
Place_Keyword: North America
Access_Constraints:
No access constraints. Please see 'Distribution Information' for details.
Use_Constraints:
These data are marked with a Creative Commons CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. These data were automatically generated using the DSAS v6.1 software application. 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. These data are not to be used for navigation.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Meredith G. Kratzmann
Contact_Address:
Address_Type: mailing and physical
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: [email protected]
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description:
Map view of data. Light red lines indicate the extent of the short-term (decadal-scale) shoreline change rates for Alabama.
Browse_Graphic_File_Type: PNG
Native_Data_Set_Environment: Microsoft Windows 11 Enterprise; Esri ArcGIS Pro 3.5.5
Cross_Reference:
Citation_Information:
Originator: Rachel E. Henderson
Originator: Amy S. Farris
Originator: Meredith G. Kratzmann
Originator: Marie K. Bartlett
Originator: Ayhan Ergul
Originator: John McAndrews
Originator: Raison Cibaj
Originator: Jessica L. Zichichi
Originator: Emily A. Himmelstoss
Originator: E. Robert Thieler
Publication_Date: 2026
Title: Digital Shoreline Analysis System version 6.1
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: software release
Issue_Identification: version 6.1.177
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Use the first link to access the publication page. The second link is to the current version of DSAS (v6.1). The third link directs to the DSAS project page.
Online_Linkage: https://doi.org/10.5066/P1NHMJNC
Online_Linkage: https://code.usgs.gov/cch/dsas
Online_Linkage:
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The attributes of this dataset are based on the field requirements of the Digital Shoreline Analysis System and were automatically generated by the software during the generation of the transect layer or during the calculation of shoreline change rates.
Logical_Consistency_Report:
These data were generated using DSAS v6.1. The transects automatically generated by the software were visually inspected along with the shoreline data prior to rate calculations. Sometimes transect positions were manually edited to better represent an orthogonal position to the general trend of the shorelines.
Completeness_Report:
This dataset contains the transects automatically generated by the DSAS software application that were used to calculate short-term (decadal-scale) shoreline change rates for the region. Additional transects may have been generated but did not meet the required number of shorelines or time period requirements.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The uncertainty of the linear regression rate is estimated by the elements lr2, lse and lci90. The uncertainty of the end point rate is estimated by the element eprunc. See the attribute definition of each for more information.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Meredith G. Kratzmann
Publication_Date: 2026
Title:
Alabama: baseline generated to calculate shoreline change rates in Kratzmann, M.G., Farris, A.S., and Weber, K.M., 2026, National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2020s for the coast of Alabama: U.S. Geological Survey data release, https://doi.org/10.5066/P1JE2KSO
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P1JE2KSO
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey
Other_Citation_Details:
The first link is to the larger work, the second link is to the baseline dataset.
Online_Linkage: https://doi.org/10.5066/P1JE2KSO
Online_Linkage:
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2026
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: AL_baseline
Source_Contribution:
Baseline segments for Alabama (part of this same data release https://doi.org/10.5066/P1JE2KSO) are used by DSAS to cast measurement transects.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Meredith G. Kratzmann
Originator: Amy S. Farris
Publication_Date: 2026
Title:
Alabama: shorelines (1849-2022) used to calculate shoreline change rates in Kratzmann, M.G., Farris, A.S., and Weber, K.M., 2026, National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2020s for the coast of Alabama: U.S. Geological Survey data release, https://doi.org/10.5066/P1JE2KSO
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P1JE2KSO
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey
Other_Citation_Details:
The first link is to the larger work, the second link is to the shorelines dataset.
Online_Linkage: https://doi.org/10.5066/P1JE2KSO
Online_Linkage:
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2026
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL_shorelines
Source_Contribution:
Shoreline data for Alabama (part of this same data release https://doi.org/10.5066/P1JE2KSO). A subset of these shorelines (1998-2022) was used for short-term rate calculations.
Process_Step:
Process_Description:
Overview of the workflow used to calculate shoreline change rates and intersection points as part of the shoreline change analysis using DSAS v6.1: 1) Transects were generated at 50-meter spacing using a manually created baseline and shorelines compiled for Alabama (see source citations in the shorelines metadata file); 2) Manual edits to transects performed; 3) Transects and shorelines were used to generate intersection points and calculate rates of change. The following process steps describe these actions.
For more details on the DSAS software, please visit: https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
This and the following process steps were performed by the same person: Meredith Kratzmann.
Process_Date: 2026
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Meredith Kratzmann
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: [email protected]
Process_Step:
Process_Description:
DSAS v6.1 was used to create transect features using the baseline and shorelines shapefiles for Alabama. Input parameters: shoreline layer = Shorelines_AL, baseline layer= Baseline_AL, transect spacing= 50 meters, transect length= 1500 meters, smoothing distance= 2000 meters, clip transects to shoreline extent= unchecked. File produced= AL_transects_ALL. Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcGIS Pro 3.5.5. Edited transect shapefile was renamed= AL_transects.
Source_Used_Citation_Abbreviation: Baseline_AL
Source_Used_Citation_Abbreviation: Shorelines_AL
Process_Date: 2026
Source_Produced_Citation_Abbreviation: AL_transects
Process_Step:
Process_Description:
To calculate short-term (ST) shoreline change rates, Alabama lidar-derived shorelines from 1998 to 2022 were utilized with the DSAS-generated transects to create shoreline intersect points and perform rate calculations. Input parameters: shoreline layer= Shorelines_AL, transects layer= AL_transects, date range= 1998 to 2022, shoreline intersection threshold= 2, calculate= EPR (end point rate), LRR (linear regression rate), NSM (net shoreline movement), SCE (shoreline change envelope), confidence interval=90%, create DSAS summary report= checked. Files produced= al_transects_intersect_20260114_141953, al_transects_rates_20260114_141953. Any null values are represented in the attribute table of the rates layer as 9999.99.
Source_Used_Citation_Abbreviation: Shorelines_AL
Source_Used_Citation_Abbreviation: AL_transects
Source_Used_Citation_Abbreviation: AL_bias
Process_Date: 2026
Source_Produced_Citation_Abbreviation: al_transects_intersect_20260114_141953
Source_Produced_Citation_Abbreviation: al_transects_rates_20260114_141953
Process_Step:
Process_Description:
The rates were exported from DSAS in shapefile format using the Export Data tool and renamed= AL_rates_ST.
Source_Used_Citation_Abbreviation: al_transects_rates_20260114_141953
Process_Date: 2026
Source_Produced_Citation_Abbreviation: AL_rates_ST
Process_Step:
Process_Description:
The rates shapefile was projected in ArcGIS Pro v3.5.5 > Geoprocessing > Data Management Tools > Projections and Transformations > Project. Parameters: Input Coordinate System - NAD_1983_2011_UTM_Zone_16N; Output Coordinate System - GCS_WGS_1984; transformation = WGS_1984_(ITRF08)_To_NAD_1983_2011.
Process_Date: 2026
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: String
Point_and_Vector_Object_Count: 1616
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.0000001
Longitude_Resolution: 0.0000001
Geographic_Coordinate_Units: Decimal degrees
Geodetic_Model:
Horizontal_Datum_Name: WGS_1984
Ellipsoid_Name: WGS_1984
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257224
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: AL_rates_ST.shp
Entity_Type_Definition:
Transects and shorelines were used to generate intersection points and shoreline change rate transects. These attributes are for short-term rates in Alabama.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: FID
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: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Feature type.
Attribute:
Attribute_Label: baselineid
Attribute_Definition:
Unique identification number of the baseline segment starting at 1. If baselineid= 0 no transects will be generated. Used by DSAS to determine transect ordering alongshore if multiple baseline segments exist.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: 4
Attribute:
Attribute_Label: transorder
Attribute_Definition:
Number assigned by DSAS based on the ordering of transects from baseline start to baseline end.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 7
Range_Domain_Maximum: 1819
Attribute:
Attribute_Label: length
Attribute_Definition: Length of feature in meter units.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 363.76
Range_Domain_Maximum: 1593.94
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: tcd
Attribute_Definition:
The total cumulative distance (TCD) is the measure in meters alongshore from the start of the baseline segment with an identifier of 1 and measured sequentially alongshore to the end of the final baseline segment.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 300
Range_Domain_Maximum: 90900
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: shrcount
Attribute_Definition: Number of shorelines used to compute shoreline change metrics.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 2
Range_Domain_Maximum: 18
Attribute:
Attribute_Label: lrr
Attribute_Definition:
A linear regression rate-of-change statistic was calculated by fitting a least-squares regression line to all shoreline points for a particular transect, using shoreline position plotted against shoreline date. The best-fit regression line is placed so that the sum of the squared residuals (determined by squaring the offset distance of each data point from the regression line and adding the squared residuals together) is minimized. The linear regression rate is the slope of the line. The rate is reported in meters per year with positive values indicating accretion (shoreline advance, seaward movement) and negative values indicating erosion (shoreline retreat, landward movement). A LRR value of 9999.99 in the attribute table means that value is null. This scenario occurs when ShrCount = 2 and there are not enough data points to calculate a linear regression rate.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -62.14
Range_Domain_Maximum: 42.75
Attribute_Units_of_Measure: meters per year
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 9999.99
Enumerated_Domain_Value_Definition: null value
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: lr2
Attribute_Definition:
The R-squared statistic, or coefficient of determination, is the proportion of variance in the data that is explained by a regression. It is a dimensionless index that ranges from 1.0 to 0.0 and measures how successfully the best-fit line accounts for variation in the data. The smaller the variability of the residual values around the regression line relative to the overall variability, the better the prediction (and closer the R-squared value is to 1.0). A LR2 value of 9999.99 in the attribute table means that LR2 is null. This scenario occurs when shrcount = 2 and there are not enough data points to calculate a linear regression rate.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 9999.99
Enumerated_Domain_Value_Definition: null value
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: lci90
Attribute_Definition:
The standard error of the slope with confidence interval describes the uncertainty of the reported rate. The LRR rates are determined by a best-fit regression line for the shoreline data at each transect. The slope of this line is the reported rate of change (in meters/year). The confidence interval (LCI) is calculated by multiplying the standard error of the slope by the two-tailed test statistic at the user-specified 90 percent confidence. This value is often reported in conjunction with the slope to describe the confidence of the reported rate. For example: LRR = 1.2 LCI90 = 0.7 could be reported as a rate of 1.2 (+/-) 0.7 meters/year. An lci90 value of 9999.99 in the attribute table means that lci90 is null. This scenario occurs when shrcount = 2 and there are not enough data points to calculate a linear regression rate.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.12
Range_Domain_Maximum: 191.15
Attribute_Units_of_Measure: meters
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 9999.99
Enumerated_Domain_Value_Definition: null value
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: lse
Attribute_Definition:
This quantity is the standard error of the regression, also known as the standard error of the estimate. To calculate it, the distance between each data point and the regression line is calculated. These distances are squared then summed. The sum is divided by the number of data points minus two. The square root is taken of the result. A lse value of 9999.99 in the attribute table means that lse is null. This scenario occurs when shrcount = 2 and there are not enough data points to calculate a linear regression rate.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.61
Range_Domain_Maximum: 459.33
Attribute_Units_of_Measure: meters
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 9999.99
Enumerated_Domain_Value_Definition: null value
Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: epr
Attribute_Definition:
The end point rate is calculated by dividing the distance of shoreline movement by the time elapsed between two shorelines, the oldest and most recent only. The rate is reported in meters per year with positive values indicating accretion (shoreline advance, seaward movement) and negative values indicating erosion (shoreline retreat, landward movement).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -55.74
Range_Domain_Maximum: 61.77
Attribute_Units_of_Measure: meters per year
Attribute:
Attribute_Label: eprunc
Attribute_Definition:
Describes the uncertainty of the reported end point rate (EPR) in meters. The shoreline uncertainties for the two positions used in the end point calculation are each squared then added together (summation of squares). The square root of the summation of squares is divided by the number of years between the two shorelines. This result is reported as the confidence of the end point rate calculation (eprunc).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.12
Range_Domain_Maximum: 8.20
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: nsm
Attribute_Definition:
The net shoreline movement (NSM) is the distance in meters between the oldest and the most recent shorelines.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -447.72
Range_Domain_Maximum: 678.32
Attribute_Units_of_Measure: meters
Attribute:
Attribute_Label: sce
Attribute_Definition:
The shoreline change envelope (SCE) value represents the greatest distance that covers all the shorelines intersected by a transect. The value for SCE is always positive, as the metric is based on magnitude, not direction.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 5.53
Range_Domain_Maximum: 1078.36
Attribute_Units_of_Measure: meters
Overview_Description:
Entity_and_Attribute_Overview:
The entity and attribute information provided here describes the tabular data associated with short-term shoreline change rates for Alabama. Please review the individual attribute descriptions for detailed information. All calculations for length are in meter units, NAD_1983_2011_UTM_Zone_16N.
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: mailing and physical address
Address: Federal Center, Building 810, MS 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: USA
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: [email protected]
Resource_Description:
The dataset contains the polyline rates of shoreline change data, (SHP and other shapefile components), browse graphic, and the FGDC CSDGM metadata.
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 for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Format_Version_Number: ArcGIS Pro version 3.5.5
Format_Specification: Esri polyline shapefile (compressed to ZIP format)
Format_Information_Content:
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .html, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC CSDGM-compliant metadata in HTML format. Transfer size is in MB.
File_Decompression_Technique: Unzip
Transfer_Size: 0.16
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link is to the USGS publication page, the second link is to the dataset page, and the third link downloads the data.
Fees: None
Technical_Prerequisites:
These data are available in a polyline shapefile format. The user must have software to read and process the data components of a shapefile.
Metadata_Reference_Information:
Metadata_Date: 20260622
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Meredith G. Kratzmann
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
Contact_Electronic_Mail_Address: [email protected]
Contact_Instructions:
The metadata contact email address is a generic address in the event the person is no longer with USGS.
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P1JE2KSO/AL_rates_ST_metadata.html>
Generated by mp version 2.9.51 on Mon Jun 22 16:21:27 2026