Adjacent shoreline segments do not overlap and are not necessarily continuous. Shorelines were quality checked for accuracy. Any slight offsets between adjacent segments due to georeferencing and digitizing error are taken into account in the uncertainty of the shoreline position, as reported in the horizontal accuracy section of this metadata file.
This shoreline file is complete and contains all shoreline segments used to calculate shoreline change rates along sections of the Alabama coastal region where shoreline position data were available. These data adequately represented the shoreline position at the time of the survey. Gaps in these data, if applicable, are a consequence of non-existing data or existing data that did not meet quality assurance standards.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Himmelstoss, E.A.
Originator: Kratzmann, M.G.
Originator: Thieler, E.R.
Publication_Date: 2017
Title:
National assessment of shoreline change – A GIS compilation of updated vector shorelines and associated shoreline change data for the Gulf of Mexico coast
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F78P5XNK
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details: Alabama shoreline data from DOI:10.5066/F78P5XNK
Online_Linkage: https://doi.org/10.5066/F78P5XNK
Online_Linkage:
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1849
Ending_Date: 2001
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Historical shorelines 1849-2001
Source_Contribution:
Historical shorelines (T-sheet-derived, for example) from this publication (DOI:10.5066/F78P5XNK, downloaded in 2025) were used in the shoreline change analysis.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Henderson, R.E.
Originator: Nelson, P.R.
Originator: Long, J.W.
Originator: Smith, C.G.
Publication_Date: 2017
Title:
Vector shorelines and associated shoreline change rates derived from lidar and aerial imagery for Dauphin Island, Alabama: 1940–2015
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F7T43RB5
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Dauphin Island, Alabama, shoreline data from DOI:10.5066/F7T43RB5
Online_Linkage: https://doi.org/10.5066/F7T43RB5
Online_Linkage: https://coastal.er.usgs.gov/data-release/doi-F7T43RB5/
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1940
Ending_Date: 2015
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Dauphin shorelines 1940-2015
Source_Contribution:
MHW lidar shorelines (1998-2014) and WDL proxy shorelines (1940-2015) from this publication (DOI:10.5066/F7T43RB5, downloaded in 2025) were used in the Alabama shoreline change analysis.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management
Publication_Date: 2022
Title:
1998 Fall Gulf Coast NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=22
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/48152
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19981029
Ending_Date: 19981109
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 1998 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 11/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2022
Title:
2005 US Army Corps of Engineers (USACE) Post-Hurricane Katrina Topo/Bathy Project for the Alabama, Florida, Louisiana and Mississippi Coasts
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=31
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/50056
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20051012
Ending_Date: 20051211
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2005 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 11/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2022
Title:
2007 USGS/NPS/NASA Experimental Advanced Airborne Research Lidar (EAARL): Northern Gulf of Mexico Barrier Islands
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=522
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/50105
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20070627
Ending_Date: 20070630
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2007 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 09/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title: 2010 USACE NCMP Topobathy Lidar: Gulf Coast (AL, FL)
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1064
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/50083
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201001
Ending_Date: 201003
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2010 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (profile and contour methods). Data accessed and downloaded in 08/2025 and 09/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title: 2015 USGS Lidar: South Terrebonne and Gulf Islands, LA
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Dauphin Island, Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10143
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/73667
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20150118
Ending_Date: 20150213
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2015 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 09/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title: 2016 USACE NCMP Topobathy Lidar: Gulf Coast (AL, FL, MS, TX)
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5186
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/49738
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20160723
Ending_Date: 20161010
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2016 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (profile method). Data accessed and downloaded in 06/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title:
2016 USACE NCMP Topobathy Lidar DEM: Gulf Coast (AL, FL, MS, TX)
Geospatial_Data_Presentation_Form: raster digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
DEM data were downloaded for Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6371
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/49427
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20160723
Ending_Date: 20161010
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2016 DEM
Source_Contribution:
The elevation data were downloaded as DEM tiles for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 09/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title: 2018 USGS Topobathy Lidar: Gulf Coast Islands (AL, FL, LA)
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Dauphin Island, Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9117
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/64345
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20181027
Ending_Date: 20181103
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2018 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 09/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title: 2018 USACE NCMP Topobathy Lidar DEM: Gulf Coast (AL, MS)
Geospatial_Data_Presentation_Form: raster digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
DEM data were downloaded for mainland Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8668
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/55862
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20181030
Ending_Date: 20181030
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2018 DEM
Source_Contribution:
The elevation data were downloaded as DEM tiles for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 07/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA National Geodetic Survey
Publication_Date: 2026
Title:
2019 - 2020 NOAA NGS Topobathy Lidar DEM: Hurricane Michael (NW Florida)
Geospatial_Data_Presentation_Form: raster digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
DEM data were downloaded for Alabama (Block 6, Time Frame 5). Alabama dataset date= 02/22/2020. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9708
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/69338
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20191204
Ending_Date: 20200502
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2020 DEM
Source_Contribution:
The elevation data were downloaded as DEM tiles for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 07/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title: 2022 USACE NCMP Topobathy Lidar: Gulf Coast (AL, FL, MS)
Geospatial_Data_Presentation_Form: vector digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
Point cloud data were downloaded for Alabama. Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10314
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/75435
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20220717
Ending_Date: 20220719
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2022 PTS
Source_Contribution:
The elevation data were downloaded as a point cloud (.laz) for extraction of datum-based shoreline (profile method). Data accessed and downloaded in 08/2025.
Source_Information:
Source_Citation:
Citation_Information:
Originator: NOAA Office for Coastal Management Partners
Publication_Date: 2026
Title: 2022 USACE NCMP Topobathy Lidar DEM: Gulf Coast (AL, FL, MS)
Geospatial_Data_Presentation_Form: raster digital dataset
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
DEM data were downloaded for Alabama (Time Frame 1). Projection = NAD_1983_2011_UTM_Zone_16N.
Online_Linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10315
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/75692
Type_of_Source_Media: digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20220717
Ending_Date: 20220719
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: AL 2022 DEM
Source_Contribution:
The elevation data were downloaded as DEM tiles for extraction of datum-based shoreline (contour method). Data accessed and downloaded in 09/2025.
Process_Step:
Process_Description:
Historical shoreline data for Alabama were downloaded from a previous USGS publication (DOI:10.5066/F78P5XNK) and underwent basic quality checks and minor edits to the attribute table. The historical data contain proxy-based shorelines that represent the high-water line (HWL) at the time of survey and include one datum-based lidar shoreline from 2001.
Source_Used_Citation_Abbreviation: DOI:10.5066/F78P5XNK shorelines
Process_Date: 2025
Source_Produced_Citation_Abbreviation: Historical shorelines 1849-2001
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:
Shoreline data for Dauphin Island, Alabama were downloaded from a previous USGS publication (DOI:10.5066/F7T43RB5) and underwent basic quality checks and minor edits to shorelines and attribute table. The data contain proxy-based shorelines that represent the wet-dry line (WDL) at the time of the aerial survey (1940-2015) and include datum-based mean high water (MHW) lidar shorelines from 1998-2014.
Source_Used_Citation_Abbreviation: DOI:10.5066/F7T43RB5 shorelines
Process_Date: 2025
Source_Produced_Citation_Abbreviation: Dauphin shorelines 1940-2015
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:
Overview of the methods used to extract shoreline features from lidar data for Alabama: In this data release, two methods of shoreline extraction from lidar were used: the contour method and the profile method. Both methods use the Mean High Water (MHW) elevation from Weber and others (2005) for shoreline extraction.
Described in Farris and others (2018), the contour method extracts the elevation of average MHW value from DEM data using the ArcGIS Pro tool Contour List with the MHW value chosen as the contour. Also described in Farris and others (2018), the profile method produces a datum-based mean high water (MHW) shoreline. The profile method extracts the MHW shoreline point from the lidar point cloud data, using a cross shore transect in a MATLAB-based approach. Please see subsequent process steps for details.
These shorelines are polyline shapefiles that may be referred to as "profile shorelines" or "contour shorelines" in this metadata document to distinguish extraction methods, but note they are both lidar-derived.
Process_Date: 2025
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:
The following information applies to Alabama shorelines extracted using the profile method for the years 2010, 2016, and 2022. The profile method is used to extract the operational MHW shoreline from lidar point cloud data utilizing a MATLAB-based approach (MATLAB version R2024A) and is described in Farris and others (2018).
The profile method used a coast-following reference line with 20-meter spaced profiles. All lidar data points that were within 1 meter of each profile line were associated with that profile. All processing was done on the 2-meter-wide profiles, working on a single profile at a time. For each profile, a linear regression was fit through data points on the foreshore and the regression was evaluated at the MHW elevation to yield the cross-shore position of the MHW shoreline. If there was a data gap at MHW or if the MHW elevation was obscured by water points, the linear regression was simply extrapolated to the MHW elevation. For each profile, the foreshore beach slope was defined as the slope of the regression line. This slope information is combined for all surveys and used to calculate uncertainty for profile- and contour-derived shorelines. The uncertainty associated with profile shorelines is described in the Horizontal Positional Accuracy Report of this metadata file.
Source_Used_Citation_Abbreviation: AL 2010 PTS
Source_Used_Citation_Abbreviation: AL 2016 PTS
Source_Used_Citation_Abbreviation: AL 2022 PTS
Process_Date: 2025
Source_Produced_Citation_Abbreviation: AL 2010 profile shoreline
Source_Produced_Citation_Abbreviation: AL 2016 profile shoreline
Source_Produced_Citation_Abbreviation: AL 2022 profile shoreline
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Amy S. Farris
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:
Profile shorelines were prepared for use in DSAS.
Attribute fields were added using ArcGIS Pro tool Add Fields (multiple): Geoprocessing > Data Management Tools > Fields > Add Fields (multiple). Fields added: Date_ (text), Uncy (Float), Source (text), Source_b (text), Year_ (Short), Default_D (Short), DSAS_Type (text), STATE (text), SRCE_INFO (text), DEM (text), MHW_elev (Double), Slope_ (Float). See the Entity Attributes section of this metadata file for definitions.
All profile shorelines for Alabama were then merged into a single file using the ArcGIS Pro tool Merge: Geoprocessing > Data Management Tools > General > Merge.
This and the following steps were performed by the same person: Meredith Kratzmann.
Source_Used_Citation_Abbreviation: AL 2010 profile shoreline
Source_Used_Citation_Abbreviation: AL 2016 profile shoreline
Source_Used_Citation_Abbreviation: AL 2022 profile shoreline
Process_Date: 2025
Source_Produced_Citation_Abbreviation: AL profile shorelines
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:
An inventory was conducted to identify all available lidar datasets for Alabama that were not included in the previous USGS publications (DOI:10.5066/F78P5XNK; DOI:10.5066/F7T43RB5). Datasets that met quality assurance standards for this analysis were processed for extraction using the contour method (described in Farris and others, 2018).
Contour shorelines that were extracted for Alabama include the years: 1998, 2005, 2007, 2010, 2015, 2016, 2018, 2020, and 2022. In some cases, contour shoreline segments were used to fill in gaps of a profile shoreline extracted from the same dataset to provide more complete coverage.
Process_Date: 2025
Process_Step:
Process_Description:
Datasets that were available as DEMs were downloaded from the NOAA Digital Coast Data Access viewer (
https://coast.noaa.gov/dataviewer/#/lidar/search/): Projection= UTM; Zone= 16N; Horizontal Datum= NAD83; Vertical Datum= NAVD88; Output format= Raster (GeoTIFF); DEM cell size= 1 meter.
Workflow used to extract a contour shoreline from a DEM:
1) DEM loaded into ArcGIS Pro v.3.5.5
2) Created contour polyline using ArcGIS Pro tool Contour List: Geoprocessing > Spatial Analyst Tools > Surface > Contour List. Input raster= DEM; Output polyline features= contour shoreline; Contour value= MHW (Alabama = 0.23).
3) Output contour edited as necessary to capture open-ocean sandy shoreline by visually comparing the line to imagery within ArcGIS Pro.
4) Contour shoreline smoothed using ArcGIS Pro tool Smooth Line: Geoprocessing > Cartography Tools > Generalization > Smooth Line. Smoothing algorithm= Polynomial Approximation with Exponential Kernel (PAEK); Smoothing tolerance= 5 meters.
5) Attribute fields were added to the contour shoreline using ArcGIS Pro tool Add Fields (multiple): Geoprocessing > Data Management Tools > Fields > Add Fields (multiple). Fields added: Date_ (text), Uncy (Float), Source (text), Source_b (text), Year_ (Short), Default_D (Short), DSAS_Type (text), STATE (text), SRCE_INFO (text), DEM (text), MHW_elev (Double), Slope_ (Float). See the Entity Attributes section of this metadata file for definitions.
Source_Used_Citation_Abbreviation: AL 2016 DEM
Source_Used_Citation_Abbreviation: AL 2018 DEM
Source_Used_Citation_Abbreviation: AL 2020 DEM
Source_Used_Citation_Abbreviation: AL 2022 DEM
Process_Date: 2025
Source_Produced_Citation_Abbreviation: AL 2016 contour shoreline
Source_Produced_Citation_Abbreviation: AL 2018 contour shoreline USACE
Source_Produced_Citation_Abbreviation: AL 2020 contour shoreline
Source_Produced_Citation_Abbreviation: AL 2022 contour shoreline
Process_Step:
Process_Description:
Datasets that were not available as DEMs were downloaded as lidar point cloud files in Lidar Aerial Survey (LAS) format compressed to a ZIP format (LAZ) from the NOAA Digital Coast Data Access viewer (
https://coast.noaa.gov/dataviewer/#/lidar/search/): Projection= UTM; Zone= 16N; Horizontal Datum= NAD83; Vertical Datum= NAVD88; Geoid= GEOID18; Output format= Points - LAZ; Data classes= Ground; Return Types= Any. The point cloud was used to create a DEM.
1) In ArcGIS Pro v.3.5.5, LAZ files were decompressed using the Convert LAS tool: Geoprocessing > Conversion Tools > Point Cloud > Convert LAS. Compression= No compression; File version= Same As Input; LAS Options= unchecked; Define Input Coordinate System= No LAS Files. Output= LAS files.
2) LAS files were combined into a LAS dataset (LASD) using ArcGIS Pro tool Create LAS Dataset: Geoprocessing > Data Management Tools > LAS Dataset > Create LAS Dataset. Coordinate system= NAD_1983_2011_UTM_Zone_16N.
3) The LASD file was converted to a DEM using ArcGIS Pro tool LAS Dataset to Raster: Geoprocessing > Conversion Tools > Point Cloud > LAS Dataset to Raster. Value field= Elevation; Interpolation Type= Binning Average Linear; Output data type= Floating Point; Sampling Type= Cell Size; Sampling Value= 1 or 3; Z Factor= 1.
Source_Used_Citation_Abbreviation: AL 1998 PTS
Source_Used_Citation_Abbreviation: AL 2005 PTS
Source_Used_Citation_Abbreviation: AL 2007 PTS
Source_Used_Citation_Abbreviation: AL 2010 PTS
Source_Used_Citation_Abbreviation: AL 2015 PTS
Source_Used_Citation_Abbreviation: AL 2018 PTS
Process_Date: 2025
Source_Produced_Citation_Abbreviation: AL 1998 DEM
Source_Produced_Citation_Abbreviation: AL 2005 DEM
Source_Produced_Citation_Abbreviation: AL 2007 DEM
Source_Produced_Citation_Abbreviation: AL 2010 DEM
Source_Produced_Citation_Abbreviation: AL 2015 DEM
Source_Produced_Citation_Abbreviation: AL 2018 DEM
Process_Step:
Process_Description:
Using the DEMs created from point cloud data, a contour shoreline was extracted by the same workflow outlined above using the Contour List tool and edited/smoothed in ArcGIS Pro 3.5.5. Attribute fields were added to the contour shoreline using the tool Add Fields (multiple).
Source_Used_Citation_Abbreviation: AL 1998 DEM
Source_Used_Citation_Abbreviation: AL 2005 DEM
Source_Used_Citation_Abbreviation: AL 2007 DEM
Source_Used_Citation_Abbreviation: AL 2010 DEM
Source_Used_Citation_Abbreviation: AL 2015 DEM
Source_Used_Citation_Abbreviation: AL 2018 DEM
Process_Date: 2025
Source_Produced_Citation_Abbreviation: AL 1998 contour shoreline
Source_Produced_Citation_Abbreviation: AL 2005 contour shoreline
Source_Produced_Citation_Abbreviation: AL 2007 contour shoreline
Source_Produced_Citation_Abbreviation: AL 2010 contour shoreline
Source_Produced_Citation_Abbreviation: AL 2015 contour shoreline
Source_Produced_Citation_Abbreviation: AL 2018 contour shoreline USGS
Process_Step:
Process_Description:
All lidar datasets used in this release contain date values that are provided in the raw data as GPS time. These values were converted to a calendar date for use in DSAS via Python code written by Zehao Xue and Amy Farris of USGS.
Process_Date: 2025
Process_Step:
Process_Description:
Attribute fields were populated for each of the lidar shorelines.
Process_Date: 2025
Process_Step:
Process_Description:
All contour shorelines were then merged into a single file using the ArcGIS Pro tool Merge: Geoprocessing > Data Management Tools > General > Merge.
Source_Used_Citation_Abbreviation: AL 1998 contour shoreline
Source_Used_Citation_Abbreviation: AL 2005 contour shoreline
Source_Used_Citation_Abbreviation: AL 2007 contour shoreline
Source_Used_Citation_Abbreviation: AL 2010 contour shoreline
Source_Used_Citation_Abbreviation: AL 2015 contour shoreline
Source_Used_Citation_Abbreviation: AL 2016 contour shoreline
Source_Used_Citation_Abbreviation: AL 2018 contour shoreline USGS
Source_Used_Citation_Abbreviation: AL 2018 contour shoreline USACE
Source_Used_Citation_Abbreviation: AL 2020 contour shoreline
Source_Used_Citation_Abbreviation: AL 2022 contour shoreline
Process_Date: 2025
Source_Produced_Citation_Abbreviation: AL contour shorelines
Process_Step:
Process_Description:
Historical shorelines were merged with the lidar shorelines in ArcGIS Pro v3.5.5 to produce a single shorelines file for Alabama using the Merge tool. A length field (Length_m) was added to the merged shorelines file using XTools v25.0: Tools > Calculate Geometry. Parameter= length; Output units= meters.
Source_Used_Citation_Abbreviation: Historical shorelines 1849-2001
Source_Used_Citation_Abbreviation: Dauphin shorelines 1940-2015
Source_Used_Citation_Abbreviation: AL profile shorelines
Source_Used_Citation_Abbreviation: AL contour shorelines
Process_Date: 2025
Source_Produced_Citation_Abbreviation: AL shorelines
Process_Step:
Process_Description:
Process_Date: 2026
Process_Step:
Process_Description:
The shorelines 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