U.S. Geological Survey
2018
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for the south shore of Nantucket, MA
tabular digital data
data release
DOI:10.5066/P9O7S72B
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
https://doi.org/10.5066/P9O7S72B
https://www.sciencebase.gov/catalog/item/5ee259fc82ce3bd58d7e13af
Emily A. Himmelstoss
Amy S. Farris
Kathryn M. Weber
2018
Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines for the 2018 update
vector digital data
data release
DOI:10.5066/P9O7S72B
Reston, VA
U.S. Geological Survey
Suggested citation: Himmelstoss, E.A., Farris, A.S., and Weber, K.M., 2018, Massachusetts shoreline change project—A GIS compilation of vector shorelines for the 2018 update: U.S. Geological Survey data release, https://doi.org/10.5066/P9O7S72B.
https://doi.org/10.5066/P9O7S72B
https://www.sciencebase.gov/catalog/item/5bcde5dce4b0f0758fc178d0
The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center.
This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.
This table includes: measurement and positional errors associated with the south shore of Nantucket, a proxy-datum bias value that corrects for the unidirectional offset between the mean high water (MHW) elevation of the lidar and other 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 Nantucket_pShoreline_2012.shp and Nantucket_pShoreline_2013.shp. These data are used in conjunction with the shoreline files to calculate rates of shoreline change.
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.
20131128
ground condition of the shorelines on which these values are based
None planned
-70.23364182
-69.96028349
41.39209974
41.23902568
USGS Metadata Identifier
USGS:5ee259fc82ce3bd58d7e13af
ISO 19115 Topic Category
oceans
environment
geoscientificInformation
None
USGS
U.S. Geological Survey
Coastal and Marine Geology Program
Woods Hole Coastal and Marine Science Center
WHCMSC
Massachusetts Coastal Zone Management
MA CZM
National Assessment of Shoreline Change Project
Massachusetts Shoreline Change Project
DSAS
Digital Shoreline Analysis System
Shoreline
Shoreline Change
Mean High Water
MHW
lidar uncertainty
Database IV format
USGS Thesaurus
coastal processes
statistical analysis
None
United States
Atlantic Coast
New England
Massachusetts
Nantucket
None.
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.
U.S. Geological Survey
Emily A. Himmelstoss
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2262
508-547-2310
ehimmelstoss@usgs.gov
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.0.4.4000
E.R. Thieler
T.L. Smith
2013
Massachusetts Shoreline Change Mapping and Analysis Project, 2012 Update
vector digital data
Open-File Report
2012-1189
Reston, VA
U.S. Geological Survey
https://pubs.usgs.gov/of/2012/1189/
Theresa L. Smith
Emily A. Himmelstoss
E. Robert Thieler
2013
Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the 2012 update
vector digital data
Open-File Report
2012-1183
Reston, VA
U.S. Geological Survey
https://pubs.usgs.gov/of/2012/1183/
E. Robert Thieler
James F. O'Connell
Courtney A. Schupp
2001
The Massachusetts Shoreline Change Project: 1800s to 1994 Technical Report
vector digital data
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
https://web.whoi.edu/seagrant/wp-content/uploads/sites/24/2015/01/WHOI-T-01-001-Thieler-E.R.-The-Mass.-Shorel.pdf
https://www.mass.gov/service-details/massachusetts-shoreline-change-project
Emily A. Himmelstoss
Meredith G. Kratzmann
Cheryl J. Hapke
E. Robert Thieler
Jeffrey List
20110119
The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the New England and Mid-Atlantic Coasts
vector digital data
Open-File Report
2010-1119
Reston, VA
U.S. Geological Survey, Coastal and Marine Geology Program
https://pubs.usgs.gov/of/2010/1119/
Emily A. Himmelstoss
Amy S. Farris
Rachel E. Henderson
Meredith G. Kratzmann
Ayhan Ergul
Ouya Zhang
Jessica L. Zichichi
2018
Digital Shoreline Analysis System (version 5.0): U.S. Geological Survey software
software release
version 5.0
Reston, VA
U.S. Geological Survey
https://doi.org/P91MNNSN
https://code.usgs.gov/usgs/dsas/
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 software release).
Each row contains data associated with an individual vertex point along the lidar shoreline in Nantucket_pShoreline_2012.shp and Nantucket_pShoreline_2013.shp.
The table only contains data where a mean high water shoreline point could be extrapolated from the lidar.
Each MHW shoreline point extracted using the profile method has an uncertainty associated with it. This uncertainty includes three components:
1) the 95% confidence interval on the linear regression estimate of the shoreline position;
2) the uncertainty associated with the elevation of the raw lidar data which is stated as 0.1 m RMS in the lidar metadata;
3) the uncertainty due to extrapolation if the shoreline point was determined by extrapolation.
These three components of uncertainty were then added in quadrature, yielding a total error for each shoreline point which is stored in the shoreline uncertainty DBF file associated with these data.
The lidar shorelines have an average positional uncertainty of plus or minus 1.34 meters.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
Woolpert
20150615
2013-2014 U.S. Geological Survey CMGP LiDAR: Post Sandy (MA, NH, RI)
tabular digital data
Charleston, SC
NOAA's Ocean Service, Office for Coastal Management (OCM)
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4914
https://coast.noaa.gov/htdata/lidar1_z/geoid12b/data/4914
https://coast.noaa.gov/dataviewer
https://coast.noaa.gov/htdata/lidar1_z/geoid12b/data/4914/supplemental/ne2013_2014_usgs_postsandy_m4914.kmz
online
20131116
20141227
ground condition
2013-2014 lidar
The LAS format (lidar data exchange file format) was used.
Whenever possible, a profile method was used to extract the operational Mean High Water (MHW) shoreline from the lidar point cloud data, using a Matlab-based approach (Matlab version 2015b) similar to the one developed by Stockdon and others (2002). Elevation values for the height of MHW were determined from vdatum (version 3.8) provided by NOAA (https://vdatum.noaa.gov/). We continued the practice set out by Weber and others, (2005) of using one MHW value for a continuous section of coast (as opposed to using a continuously varying value). We chose this value such that it is always within 15 cm of the value returned by vdatum at any point along the coast. For example, we used MHW = 0.6 m for all of Buzzards Bay even though vdatum shows it varying slightly over the basin. For the eastern shorelines of Nantucket we used an average MHW elevation of 0.39 meters. For the southwest facing shoreline, we used an average MHW elevation of 0.29 meters. This profile method uses a coast-following reference line with 20 m spaced profiles. All lidar data points that are within 1 m of each profile are associated with that profile. All work is done on the 2 m 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. Foreshore beach slope is defined as the slope of the regression line.
Each MHW shoreline point that was extracted using this profile method has an uncertainty associated with it. This uncertainty includes three components: 1) the 95% confidence interval on the linear regression estimate of the shoreline position; 2) the uncertainty associated with the elevation of the raw lidar data and; 3)the uncertainty due to extrapolation. These three components of uncertainty were added in quadrature to yield a total error for each shoreline point. For details on each component, see pp.12-13 under the section titled Lidar-Derived MHW Shoreline Position Uncertainty in Hapke and others (2011).
There is a known horizontal offset between the datum-based lidar MHW shoreline and the proxy-based historical shorelines that nearly always acts in one direction (Ruggiero and List, 2009). Wave data from offshore buoys is used with the beach slope in a run-up equation to estimate a proxy-datum bias correction to reconcile the unidirectional offset that the proxy-based historic High Water Line (HWL) shorelines, such as those derived from NOAA t-sheets or air photos, have in relationship to the lidar-derived, datum-based operational MHW line. 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. For details on the proxy-datum bias and bias uncertainty, see pp.9-11 under the section titled The Proxy-Datum Bias Correction between HWL and MHW Shorelines in Hapke and others (2011).
Hapke, C.J., Himmelstoss, E.A., Kratzmann, M.G., List, J.H., and Thieler, E.R., 2011, National assessment of shoreline change—Historical shoreline change along the New England and Mid-Atlantic coasts: U.S. Geological Survey Open-File Report 2010-1118, 57 p., https://pubs.usgs.gov/of/2010/1118/.
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, no. 5, p. 1069-1081. [Also available at https://www.jstor.org/stable/27752753]
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, no. 3, p. 502-513. [Also available at https://www.jstor.org/stable/4299097]
2016
Amy S. Farris
U.S. Geological Survey
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2344
508-457-2310
afarris@usgs.gov
The series of operational MHW points extracted from the cross-shore lidar profiles were converted to a .dbf file storing the lidar positional uncertainty, for each point of the original lidar data. During the rate calculation process DSAS uses linear referencing to retrieve the uncertainty value stored in the associated table.
2016
Emily A. Himmelstoss
U.S. Geological Survey
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2262
508-457-2310
ehimmelstoss@usgs.gov
Moved the uncertainty table and the corresponding metadata to a landing page of its own to facilitate the assigning of a persistent identifier to the metadata that is based on the landing page UUID. This reorganization required updating various links in the metadata. The western longitude of the bounding coordinates was also fixed in the metadata.
20200611
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Added keywords section with USGS persistent identifier as theme keyword.
20200810
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
This dataset contains 1941 records that are related to the associated shoreline datasets by M-values in each polyline-M shapefile that is represented by the ID attribute in this dataset.
0.0197422321
0.0262000699
Decimal seconds
WGS_1984
WGS_84
6378137.0
298.257223563
Nantucket_pShoreline_uncertainty
uncertainty table
U.S. Geological Survey
OID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
ID
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.
U.S. Geological Survey
488
2572
UNCY
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.
U.S. Geological Survey
0.69
32
meters
BIAS
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 proxy-based historic HWL shoreline positions.
U.S. Geological Survey
8.9
9.85
meters
UNCYB
This field heading is case-sensitive and name specific. The field contains the uncertainty in the calculated proxy-datum bias value (BIAS) in meters.
U.S. Geological Survey
3.787
4.361
meters
The entity and attribute information provided here describes the tabular data associated with the dataset. Please review the individual attribute descriptions for detailed information.
U.S. Geological Survey
U.S. Geological Survey - ScienceBase
mailing and physical address
MS 302
Denver
CO
80225
USA
1-888-275-8747
sciencebase@usgs.gov
The dataset contains the uncertainty data in DBF format (Nantucket_pShoreline_uncertainty.dbf) and the CSDGM metadata in XML format.
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.
DBF
dBase IV
The dataset contains the uncertainty table, and CSDGM metadata.
1
https://www.sciencebase.gov/catalog/item/5ee259fc82ce3bd58d7e13af
https://www.sciencebase.gov/catalog/file/get/5ee259fc82ce3bd58d7e13af
https://doi.org/10.5066/P9O7S72B
The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. And the final link is to the publication landing page.
None
These data are available in dBase file format. The user must have software capable of reading or importing the dBase formatted data file.
20200810
Emily A. Himmelstoss
U.S. Geological Survey
mailing address
384 Woods Hole Road
Woods Hole
MA
02543-1598
USA
508-548-8700 x2262
508-457-2310
ehimmelstoss@usgs.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time