Transects_BackBarrier.shp - Digital Shoreline Analysis System version 4.3 Transects with Linear Regression Rate Calculations for the Back-Barrier (North-Facing) coast of Dauphin Island, Alabama.

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Frequently anticipated questions:

What does this data set describe?

Title:
Transects_BackBarrier.shp - Digital Shoreline Analysis System version 4.3 Transects with Linear Regression Rate Calculations for the Back-Barrier (North-Facing) coast of Dauphin Island, Alabama.
Abstract:
Rates of shoreline change for Dauphin Island, Alabama were generated for three analysis periods, using two different shoreline proxy datasets. Mean High Water line (MHW) shorelines were generated from 14 lidar datasets (1998-2014) and Wet Dry Line (WDL) shorelines were digitized from ten sets of georeferenced aerial images (1940-2015). Rates of change were generated for three groups of shorelines: MHW (lidar), WDL (aerial) and MHW and WDL shorelines combined. These data will aid in developing an understanding of the evolution of the barrier island position, size and shape as well as documenting spatially-variable patterns in erosion and accretion of different sections of the island.
  1. How might this data set be cited?
    U.S. Geological Survey, 20170616, Transects_BackBarrier.shp - Digital Shoreline Analysis System version 4.3 Transects with Linear Regression Rate Calculations for the Back-Barrier (North-Facing) coast of Dauphin Island, Alabama.: U.S. Geological Survey Data Release doi:10.5066/F7T43RB5, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -88.348139346
    East_Bounding_Coordinate: -88.086133824
    North_Bounding_Coordinate: 30.286844286
    South_Bounding_Coordinate: 30.2255479635
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 27-Oct-1940
    Ending_Date: 12-Nov-2015
    Currentness_Reference:
    ground condition.
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • String (325)
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 16
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -87.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.6096
      Ordinates (y-coordinates) are specified to the nearest 0.6096
      Planar coordinates are specified in Meter
      The horizontal datum used is D_North_American_1983.
      The ellipsoid used is GRS_1980.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257222101.
  7. How does the data set describe geographic features?
    Transects_BackBarrier
    Transects are automatically generated by DSAS at a 90 degree angle to the user-specified baseline. (Source: U.S. Geological Survey, Woods Hole Science Center)
    FID
    Internal feature number. (Source: Esri) Sequential unique whole numbers that are automatically generated.
    Shape
    Feature geometry. (Source: Esri) Coordinates defining the features.
    BaselineID
    Unique identification number of the baseline segment. If BaselineID=0 no transects will be generated. Used by DSAS to determine transect ordering alongshore, if multiple baseline segments exist. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:1
    Maximum:2
    TransOrder
    Assigned by DSAS and based on ordering of transects along the baseline. Used to allow user to sort transect data along the baseline from baseline start to baseline end. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:1
    Maximum:325
    ProcTime
    Assigned by DSAS, automatically, to record the date and time a transect was processed. (Source: U.S. Geological Survey, Woods Hole Science Center) Values based on time and date of user operations
    Autogen
    Assigned by DSAS to indicate whether or not a transect was automatically created by DSAS (1= transect was auto generated by DSAS; 0=transect was not auto-generated). (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:0
    Maximum:1
    StartX
    Assigned by DSAS, automatically, to record the X coordinate of the beginning of the transect. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:370786.17
    Maximum:394357.16
    Units:NAD 83 UTM Zone 16N meters
    StartY
    Assigned by DSAS, automatically, to record the Y coordinate of the beginning of the transect. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:3345733.79
    Maximum:3350693.85
    Units:NAD 83 UTM Zone 16N meters
    EndX
    Assigned by DSAS, automatically, to record the X coordinate of the end of the transect. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:370341.53
    Maximum:395556.39
    Units:NAD 83 UTM Zone 16N meters
    EndY
    Assigned by DSAS, automatically, to record the Y coordinate of the end of the transect. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:3344538.27
    Maximum:3351579.49
    Units:NAD 83 UTM Zone 16N meters
    Azimuth
    Assigned by DSAS to record the azimuth of the transect, measured in degrees clockwise from North. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:12.89
    Maximum:354.26
    TCD
    The transect change distance - or distance of the transect along shore, in meters. (Source: U.S. Geological Survey, Woods Hole Science Center)
    Range of values
    Minimum:0
    Maximum:32300
    MHW_LRR
    For all MHW (lidar) shorelines from 1998-2014: A linear regression rate-of-change statistic was calculated by fitting a least-squares regression line to all shoreline points for a particular transect. 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 and negative values indicating erosion. Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:-25.2
    Maximum:43.24
    MHW_LR2
    For all MHW (lidar) shorelines from 1998-2014: The R-squared statistic, or coefficient of determination, is the percentage 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). Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0
    Maximum:1
    MHW_LSE
    For all MHW (lidar) shorelines from 1998-2014: The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation. Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0.15
    Maximum:254.42
    MHW_LCI90
    For all MHW (lidar) shorelines from 1998-2014: 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 lower confidence interval (LCI) is calculated by multiplying the standard error (also called the standard deviation) 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.Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0.308
    Maximum:227.362
    WDL_LRR
    For all WDL (aerial) shorelines from 1940-2015: A linear regression rate-of-change statistic was calculated by fitting a least-squares regression line to all shoreline points for a particular transect. 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 and negative values indicating erosion.Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:-7.29
    Maximum:4.19
    WDL_LR2
    For all WDL (aerial) shorelines from 1940-2015: The R-squared statistic, or coefficient of determination, is the percentage 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).Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0
    Maximum:0.99
    WDL_LSE
    For all WDL (aerial) shorelines from 1940-2015: The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:1.98
    Maximum:109.87
    WDL_LCI90
    For all WDL (aerial) shorelines from 1940-2015: 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 LCI is calculated by multiplying the standard error (also called the standard deviation) 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.Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0.051
    Maximum:8.499
    ALL_LRR
    For all WDL (aerial) and MHW (lidar) shorelines from 1940-2015: A linear regression rate-of-change statistic was calculated by fitting a least-squares regression line to all shoreline points for a particular transect. 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 and negative values indicating erosion.Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:-7.2
    Maximum:19.58
    AL_LR2
    For all WDL (aerial) and MHW (lidar) shorelines from 1940-2015: The R-squared statistic, or coefficient of determination, is the percentage 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).Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0
    Maximum:0.99
    ALL_LSE
    For all WDL (aerial) and MHW (lidar) shorelines from 1940-2015: The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:2.1
    Maximum:164.4
    ALL_LCI90
    For all WDL (aerial) and MHW (lidar) shorelines from 1940-2015: 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 LCI is calculated by multiplying the standard error (also called the standard deviation) 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.Null values are identified as 9999. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0.049
    Maximum:45.093
    Shape_Leng
    Length of feature in meter units. (Source: Esri)
    Range of values
    Minimum:118.61278
    Maximum:1200.000085

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • U.S. Geological Survey
  2. Who also contributed to the data set?
    St. Petersburg Coastal and Marine Science Center
  3. To whom should users address questions about the data?
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov

Why was the data set created?

This dataset consists of shore perpendicular transects and associated shoreline change rates from lidar and aerial imagery sources for the back-barrier (north-facing) coast of Dauphin Island, Alabama. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension 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 are then used to calculate long-term rates. Long-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 01-Sep-2016 (process 1 of 10)
    Transect features Ggenerated using DSAS v4.3 in ArcMap v10.0. Parameters used: baseline layer=Baseline_BackBarrier, baseline group field=NULL, transect spacing=100 meters, transect length=1200 meters, cast direction=AUTO-DETECT, baseline location=offshore, cast method=smoothed, smoothing distance=50 meters, flip baselines=not selected.
    For additional details on these parameters, please see the DSAS help file distributed with the DSAS software, or visit the USGS website at: https://woodshole.er.usgs.gov/project-pages/DSAS/ Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • Baseline_BackBarrier
    Data sources produced in this process:
    • DI_Transects_BackBarrier
    Date: 01-Sep-2016 (process 2 of 10)
    Some transects did not intersect all shorelines at the default transect length. These transects were manually lengthened, moved, or deleted in an edit session using standard editing tools in ArcMap v10.0. Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • DI_Transects_BackBarrier
    Data sources produced in this process:
    • DI_Transects_BackBarrier2
    Date: 24-Mar-2017 (process 3 of 10)
    Shorelines, transects and baseline data were imported into a personal geodatabase which was stored in the Microsoft Acess file, DI_MHW_1998_2014.mdb
    Rate calculations performed on MHW (lidar) shorelines using DSAS v4.3 in ArcMap v10.0.
    Back-barrier shorelines (including "Back-barrier/marsh (Dauphin Island)" and "Back-barrier/marsh (Little Dauphin Island)")were selected from the MHW_shorelines attribute table and the resulting, selected shorelines were used in the following DSAS analysis:
    Parameters used: baseline layer=DI_Baseline_BackBarrier, shoreline layer=Lidar_MHW_Shorelines_1998_2014 (back barrier ONLY) shoreline date field=DATE_, shoreline uncertainty field name=UNCERTY, shoreline intersection parameters=closest, Transect layer= DI_Transects_BackBarrier2, stats calculations=[Linear Regression Rate (LRR)], confidence interval=90% Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • DI_Transects_BackBarrier2
    • Lidar_Shorelines_1998_2014
    • Baseline_BackBarrier
    Data sources produced in this process:
    • DI_Ocean_trans_MHW_rates_20170324_150108.dbf
    • DI_Ocean_trans_MHW_intersect_20170324_150108.dbf
    Date: 24-Mar-2017 (process 4 of 10)
    Shorelines, transects and baseline data were imported into a personal geodatabase, which was stored in the Microsoft Access file, DI_WDL_1940_2015.mdb
    Rate calculations performed on WDL (aerial) shorelines, using DSAS v4.3 in ArcMap v10.0.
    Back-barrier shorelines (including "Back-barrier/marsh", "Back-barrier/marsh (Graveline Bay)" and "Back-barrier/marsh (Little Dauphin Island)") were selected from the WDL_shorelines attribute table and the resulting, selected shorelines were used in the following DSAS analysis:
    Parameters used: baseline layer=DI_Baseline_BackBarrier, shoreline layer=Aerial_WDL_Shorelines_1940_2015 (back-barrier ONLY), shoreline date field=DATE_, shoreline uncertainty field name=UNCERT, shoreline intersection parameters=closest, Transect layer= DI_Transects_BackBarrier2, stats calculations=[Linear Regression Rate (LRR)], confidence interval=90% Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • DI_Transects_BackBarrier2
    • Aerial_Shorelines_1940_2015
    • Baseline_BackBarrier
    Data sources produced in this process:
    • DI_Ocean_trans_WDL_rates_20170324_141626.dbf
    • DI_Ocean_trans_WDL_intersect_20170324_141626.dbf
    Date: 24-Mar-2017 (process 5 of 10)
    MHW (lidar) and WDL (aerial) shorelines were combined (copy and paste) into one feature class. Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • Aerial_Shorelines_1940_2015
    • Lidar_Shorelines_1998_2014
    Data sources produced in this process:
    • MHW_WDL_shorelines
    Date: 24-Mar-2017 (process 6 of 10)
    Shorelines, transects and baseline data were imported into a personal geodatabase which was stored in the Microsoft Acess file, DI_MHW_WDL_1940_2015.mdb
    Rate calculations performed on WDL (aerial) and MHW (lidar) shorelines using DSAS v4.3 in ArcMap v10.0.
    Back-barrier shorelines (including "Back-barrier/marsh", "Back-barrier/marsh (Graveline Bay)", "Back-barrier/marsh (Dauphin Island)" and "Back-barrier/marsh (Little Dauphin Island)")were selected from the MHW_WDL_shorelines attribute table and the resulting, selected shorelines were used in the following DSAS analysis:
    Parameters used: baseline layer=DI_Baseline_BackBarrier, shoreline layer=WDL_MHW_Shorelines_1940_2015 (back-barrier ONLY) shoreline date field=DATE_, shoreline uncertainty field name=UNCERT, shoreline intersection parameters=closest, Transect layer= DI_Transects_BackBarrier2, stats calculations=[Linear Regression Rate (LRR)], confidence interval=90% Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • DI_Transects_BackBarrier2
    • MHW_WDL_shorelines
    • Baseline_BackBarrier
    Data sources produced in this process:
    • DI_Ocean_trans_ALL_rates_20170324_151043.dbf
    • DI_Ocean_trans_ALL_intersect_20170324_151043.dbf
    Date: 27-Mar-2017 (process 7 of 10)
    DI_Transects_BackBarrier file exported to a new geodatabase - Trans_ALL.mdb
    New fields added to attribute table include TCD (double), MHW_LRR (double), MHW_LR2 (double), MHW_LSE (double), MHW_LCI90 (double), WDL_LRR (double), WDL_LR2 (double), WDL_LSE (double), WDL_LCI90 (double), ALL_LRR (double), ALL_LR2(double), ALL_LSE(double), ALL_LCI90 (double). Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • DI_Transects_BackBarrier2
    Data sources produced in this process:
    • Transects_BackBarrier
    Date: 27-Mar-2017 (process 8 of 10)
    Shoreline change rates from each shoreline analysis (MHW, WDL, and combined MHW+WDL) were appended to one transect file as follows:
    DI_Ocean_trans_MHW_rates_20170324_150108.dbf were joined to Transects_BackBarrier.shp by TransectID/ TransOrder, and values for LRR, LR2, LSE, LCI90 were copied to the corresponding attribute fields - MHW_LRR, MHW_LR2, MHW_LSE, MHW_LCI90.
    DI_Ocean_trans_WDL_rates_20170324_141626.dbf were joined to Transects_BackBarrier.shp by TransectID/ TransOrder, and values for LRR, LR2, LSE, LCI90 were copied to the corresponding attribute fields - WDL_LRR, WDL_LR2, WDL_LSE, WDL_LCI90.
    DI_Ocean_trans_ALL_rates_20170324_151043.dbf were joined to Transects_BackBarrier.shp by TransectID/ TransOrder, and values for LRR, LR2, LSE, LCI90 were copied to the corresponding attribute fields - ALL_LRR, ALL_LR2, ALL_LSE, ALL_LCI90. Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • Transects_BackBarrier
    • DI_Ocean_trans_MHW_rates_20170324_150108.dbf
    • DI_Ocean_trans_WDL_rates_20170324_141626.dbf
    • DI_Ocean_trans_ALL_rates_20170324_151043.dbf
    Data sources produced in this process:
    • Transects_BackBarrier
    Date: 27-Mar-2017 (process 9 of 10)
    The transect feature class Transect_BackBarrier was exported to a shapefile in ArcMap v10.0 by right clicking on the dataset in the geodatabase >> Export >> To Shapefile (single). Person who carried out this activity:
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida
    Attn: Rachel E. Henderson
    600 4th Street South
    St. Petersburg, FL
    USA

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
    Data sources used in this process:
    • Transects_BackBarrier
    Data sources produced in this process:
    • Transects_BackBarrier.shp
    Date: 13-Oct-2020 (process 10 of 10)
    Added keywords section with USGS persistent identifier as theme keyword. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  3. What similar or related data should the user be aware of?
    Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Ergul, A., 2009, Digital Shoreline Analysis System (DSAS) version 4.0 - An ArcGIS extension for calculating shoreline change: Open-File Report 2008-1278, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center, Woods Hole, MA.

    Online Links:

    Other_Citation_Details: Current version of software at time of use was 4.3

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    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 performed by the software.
  2. How accurate are the geographic locations?
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    This dataset contains transects automatically generated by the DSAS software application that were used to calculate shoreline change rates for the region.
  5. How consistent are the relationships among the observations, including topology?
    These data were generated using DSAS v4.3, an automated software program which does not perform checks for fidelity of the input features. Transects were visually inspected and sometimes manually adjusted within a standard ArcMap edit session to adjust the position at which an individual transect intersected the shorelines.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:
These data were automatically generated using the DSAS v4.3 software application and should only be used for purposes explicitly stated by the originating organization. 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.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey
    600 4th Street South
    St. Petersburg, Florida
    US

    (727)-502-8000 (voice)
    rehenderson@usgs.gov
  2. What's the catalog number I need to order this data set? Transects_BackBarrier.shp
  3. What legal disclaimers am I supposed to read?
    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.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2020
Metadata author:
U.S. Geological Survey
Attn: Rachel Henderson
600 4th Street South
St. Petersburg, Florida
US

(727)-502-8000 (voice)
rehenderson@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/Transects_BackBarrier_metadata.faq.html>
Generated by mp version 2.9.50 on Tue Sep 21 18:18:52 2021