IMA
20200421
202004_Trin_DSAS_coastline_change_detection_epr2_2007-2014
vector digital data
This dataset consists of shoreline change rates calculated with the Digital Shoreline Analysis System version 5.0 (DSAS v5.0) and stored as a new transect layer. Original measurement transects are cast by DSAS from the baseline to intersect shoreline vectors, and the intersect data provide location and time information used to calculate rates of change. These statistics are appended to the rate transect layer.
End point rate (2), for the period 2007-2014 for Trinidad generated for the Coastline Change Detection for Trinidad and Tobago 1994-2014 Report.
20200421
ground condition
As needed
-61.025212
-60.908535
10.835348
10.700561
ISO 19115 Topic Category
environment
biota
geoscientificInformation
oceans
These data were automatically generated using the DSAS version 5.0 software applications and should only be used for purposes explicitly stated by the originating organization.
E.A. Himmelstoss
A.S. Farris
R.E. Henderson
M.G. Kratzmann
A. Ergul
O. Zhang
J.L. Zichichi
E.R. Thieler
2018
Digital Shoreline Analysis System (version 5.0): U.S. Geological Survey software
software
version 5.0
Reston, VA
U.S. Geological Survey, Coastal and Marine Geology Program
Suggested citation: Himmelstoss, E.A., Farris, A.S., Henderson, R.E., Kratzmann, M.G., Ergul, A., Zhang, O., Zichichi, J.L., and Thieler, E.R., 2018, Digital Shoreline Analysis System (ver. 5.0): U.S. Geological Survey software, https://doi.org/10.5066/P9VW42I0 .
https://code.usgs.gov/cch/dsas/
https://doi.org/10.5066/P9VW42I0
Please use the following citation: Himmelstoss, E.A., Farris, A.S., Henderson, R.E., Kratzmann, M.G., Ergul, A., Zhang, O., Zichichi, J.L., Thieler, E.R., 2018, Digital Shoreline Analysis System (v5.0): U.S. Geological Survey software
E.A. Himmelstoss
R.E. Henderson
M.G. Kratzmann
A. Farris
2018
Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide
Open File Report
2018-1179
Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
Suggested citation: Himmelstoss, E.A., Henderson, R.E., Kratzmann, M, Farris, A., 2018, DSAS version 5.0 user guide. U.S. Geological Survey report 2018-1179, https://doi.org/10.3133/ofr20181179
https://doi.org/10.3133/ofr20181179
https://woodshole.er.usgs.gov/project-pages/DSAS/
Please use the following citation: Himmelstoss, E.A., Farris, A.S., Henderson, R.E., Kratzmann, M.G., Ergul, A., Zhang, O., Zichichi, J.L., Thieler, E.R., 2018, Digital Shoreline Analysis System (v5.0): U.S. Geological Survey software
These data were generated using DSAS, an automated software program which does not perform checks for fidelity of the input features. Any testing on these data should be carried out by end-users to ensure fidelity of relationships.
This dataset contains transects with shoreline change rate information generated by the DSAS v 5.0 software application.
Transect features generated using DSAS v5.0.20181221.1313. Parameters Used: baseline layer=east1_base, baseline group field=NULL, transect spacing=20 meters, search distance=250 meters, land direction=left, shoreline intersection=seaward, File produced = east1_07_14_250 .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/
20200421
10:57:39
Shoreline intersects and rate calculations performed. Parameters Used: shoreline layer=east1_coasts, shoreline date field=DATE_, shoreline uncertainty field name=UNCERTAINTY, the default accuracy=3.84 meters, shoreline intersection=seaward, stats calculations=[NSM, EPR], shoreline threshold=1, confidence interval=95%. Files produced = east1_07_14_250_rates_20200421_105956 , east1_07_14_250_intersect_20200421_105956 .
20200421
11:01:13
Vector
Simple
FALSE
0
TRUE
FALSE
coordinate pair
1.000000
1.000000
meter
D WGS 1984
WGS 1984
6378137.0
298.257223563
east1_07_14_250_rates_20200421_105956
Transect rates are generated by DSAS using the distance measurements between shorelines and baseline at each DSAS transects. The calculated rates of shoreline change are returned as a transect rate shapefile.
U.S. Geological Survey
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
The object identification field is automatically created and maintained by ArcGIS. It establishes a unique ID for each row in the attribute table.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
Integer
4
10
0
SHAPE
The geometry field (shape) is automatically created and maintained by ArcGIS. It provides a definition of the feature type (point, line, polygon).
Esri
Coordinates defining the features.
Shape
Geometry
8
0
0
TransectID
The TransectID relates directly to the original transect file "€œObject Identifier"€, "ObjectID" or "OID"
U.S. Geological Survey
0
unlimited
TransectID
Integer
4
10
0
BaselineID
Values in this field correlate to the baseline attribute field "€œID"€ and are assigned by DSAS to identify the baseline segment used to generate the measurement transect. Baseline segments assigned an ID = 0 are ignored by DSAS and no transects will be cast along those line segments.
U.S. Geological Survey
0
unlimited
BaselineID
Integer
4
10
0
GroupID
Values in this field correlate to the optional baseline attribute field "€œDSAS_group" (Group_) and are assigned by DSAS if selected by user. If a user specifies an attribute field in the baseline layer as the group field (it is not name specific), then DSAS will use the provided input to assign a group value to output transects; if user does not select a baseline-group field as input, then DSAS will assign all transects a group value of zero. This field is used to aggregate sections of the coast into groups. All transects within a group will have average summary statistics in the DSAS summary report.
U.S. Geological Survey
0
unlimited
GroupID
Integer
4
10
0
TransOrder
Assigned by DSAS on the basis of transect order along the baseline or baselines. If the user manually adds transects to the file in an edit session, they will be added to the end of the transect attribute table and given a new value for "TransID" (ObjectID). However "TransOrder" will be updated to reflect the position of the new transect with respect to the other transect along the baseline. As such this field provides the user with a method to sort transect attribute data sequentially alongshore, from the start of the baseline segment with an ID=1 to the end of the final baseline segment.
U.S. Geological Survey
0
unlimited
TransOrder
Integer
4
10
0
Azimuth
Assigned by DSAS to record the azimuth of the transect measure in degrees clockwise from North.
U.S. Geological Survey
0
360
Azimuth
Double
8
38
8
ShrCount
The total number of shorelines intersected by the transect and used for change analysis.
U.S. Geological Survey
0
unlimited
ShrCount
Integer
4
10
0
TCD
The "€œTCD" (total cumulative distance) is the measure (in meters) along shore from the start of the baseline segment with an ID =1, and measured sequentially alongshore to the end of the final baseline segment.
U.S. Geological Survey
0
unlimited
TCD
Double
8
38
8
SCE
Shoreline change envelope. The "SCE" value represents the greatest distance among all the shorelines that intersect a given transect. The value for SCE is always positive. If the proxy-datum bias (PDB) is applied, two versions of this statistic will be reported: "€œSCE" will include the PDB in the calculations; "€œNB_SCE"€ will omit the PDB.
U.S. Geological Survey
0
unlimited
SCE
Double
8
38
8
NSM
Net shoreline movement (NSM)the distance between the oldest and youngest shorelines at each transect. If the PDB is applied, two versions of this statistic will be reported: "€œNSM"€ will include the PDB in the calculations; "€œNB_NSM"€ will omit the PDB.
U.S. Geological Survey
0
unlimited
NSM
Double
8
38
8
EPR
The end point rate (EPR) is calculated by determining the distance between the oldest and youngest shoreline on a DSAS transect and dividing by the time elapsed between the two shoreline dates. If the PDB is applied, two versions of this statistic will be reported: "€œEPR"€ will include the PDB in the calculations; "€œNB_EPR"€ will omit the PDB.
U.S. Geological Survey
0
unlimited
EPR
Double
8
38
8
SHAPE_Leng
SHAPE_Leng
Double
8
38
8
EPRunc
An estimate of end point rate uncertainty. 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. If the PDB is applied, two versions of this statistic will be reported: "€œEPRunc"€ will include the PDB in the calculations; "€œNB_EPRunc will omit the PDB.
U.S. Geological Survey
0
unlimited
EPRunc
Double
8
38
8
LRR
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. If the PDB is applied, two versions of this statistic will be reported: "€œLRR"€ will include the PDB in the calculations; "€œNB_LRR"€ will not include the PDB. If the PDB is not applied the "€œLRR"€ statistic will not include the bias.
U.S. Geological Survey
0
unlimited
LRR
Double
8
38
8
LR2
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). If the PDB is applied, two versions of this statistic will be reported. "€œLR2"€ will include the PDB; "€œNB_LR2"€ will not include the PDB.
U.S. Geological Survey
0
1
LR2
Double
8
38
8
LSE
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. This metric evaluates the accuracy of the best-fit regression line in predicting the position of a shoreline for a specific date. If the PDB is applied, two versions of this statistic will be reported. "€œLSE"€ will include the PDB; "€œNB_LSE"€ will omit the PDB.
U.S. Geological Survey
0
unlimited
LSE
Double
8
38
8
LCI95
The standard error of the slope with confidence interval describes the uncertainty of the reported rate for the user-selected confidence value captured as part of the attribute name. If the PDB is applied, two versions of this statistic will be reported. "€œLCI95"€ will include the PDB; "€œNB_LCI95"€ will omit the PDB.
U.S. Geological Survey
0
unlimited
LCI95
Double
8
38
8
WLR
In a weighted linear regression (WLR), more reliable data are given greater emphasis or weight towards determining a best-fit line. In the computation of rate-of-change statistics for shorelines, greater emphasis is placed on data points for which the position uncertainty is smaller. If the PDB is applied, two versions of this statistic will be reported: "€œWLR"€ will include the PDB in the calculations: "€œNB_WLR"€ will not include the PDB.
U.S. Geological Survey
0
unlimited
WLR
Double
8
38
8
WR2
The R-squared statistic, or coefficient of determination, is the percentage of variance in the WLR 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). If the PDB is applied, two versions of this statistic will be reported. "WR2" will include the PDB; "NB_WR2" will omit the PDB.
U.S. Geological Survey
0
1
WR2
Double
8
38
8
WSE
The standard error of the estimate for the weighted linear regression rate. The standard error evaluates the accuracy of the best-fit regression line (WLR) in predicting the position of a shoreline for a specific date. If the PDB is applied, two versions of this statistic will be reported. "€œWSE"€ will include the PDB; "€œNB_WSE"€ will not include the PDB.
U.S. Geological Survey
0
unlimited
WSE
Double
8
38
8
WCI95
The standard error of the slope with confidence interval describes the uncertainty of the reported rate for the user-selected confidence value captured as part of the attribute name. If the PDB is applied, two versions of this statistic will be reported. "€œWCI95"€ will include the PDB; "€œNB_WCI95"€ will omit the PDB.
U.S. Geological Survey
0
unlimited
WCI95
Double
8
38
8
Shape.STLength()
Shape.STLength()
Double
0
0
0
IMA
Ngooding
mailing and physical
hilltop lane
chaguaramas
ngooding@ima.gov.tt
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.
20200421
20200421
IMA
Ngooding
mailing and physical
hilltop lane
chaguaramas
ngooding@ima.gov.tt
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
20200424
14241100
1.0
ISO 19139 Metadata Implementation Specification
FALSE
Server=IMAARCGIS; Service=sde:sqlserver:IMAARCGIS\SQLEXPRESS; Database=IMA_GIS; User=IMAARCGIS\gis_ro; Version=dbo.DEFAULT
ArcSDE Connection
IMA_GIS.DBO.Trin_IMA_202004_pWGS84_2020_DSAS_coastline_change_detection_epr2_2007_to_2014
002
2.370
617007.053583
728653.617123
1110212.904458
1199505.032351
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_UTM_Zone_20N
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CalculateField "New Group Layer\epr2_trin" EPR [NSM]/7 VB #
CalculateField "NSM EPR1 EPR2\epr2_trin" EPR [NSM]/7 VB #
FeatureClassToFeatureClass C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp C:\Users\GIS_RO\Documents\ArcGIS\Projects\MDH_GIS_RO\MDH_GIS_RO\IMAARCGIS.sde Trin_IMA_202004_pWGS84_2020_DSAS_coastline_change_detection_epr2_2007_to_2014 # "OBJECTID "OBJECTID" true true false 10 Long 0 10,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,OBJECTID,-1,-1;TransectID "TransectID" true true false 10 Long 0 10,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,TransectID,-1,-1;BaselineID "BaselineID" true true false 10 Long 0 10,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,BaselineID,-1,-1;GroupID "GroupID" true true false 10 Long 0 10,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,GroupID,-1,-1;TransOrder "TransOrder" true true false 10 Long 0 10,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,TransOrder,-1,-1;Azimuth "Azimuth" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,Azimuth,-1,-1;ShrCount "ShrCount" true true false 10 Long 0 10,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,ShrCount,-1,-1;TCD "TCD" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,TCD,-1,-1;NSM "NSM" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,NSM,-1,-1;EPR "EPR" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,EPR,-1,-1;EPRunc "EPRunc" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,EPRunc,-1,-1;SHAPE_Leng "SHAPE_Leng" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,SHAPE_Leng,-1,-1;SCE "SCE" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,SCE,-1,-1;LRR "LRR" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,LRR,-1,-1;LR2 "LR2" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,LR2,-1,-1;LSE "LSE" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,LSE,-1,-1;LCI95 "LCI95" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,LCI95,-1,-1;WLR "WLR" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,WLR,-1,-1;WR2 "WR2" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,WR2,-1,-1;WSE "WSE" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,WSE,-1,-1;WCI95 "WCI95" true true false 19 Double 0 0,First,#,C:\GEODATA\01_Data\01_GIS\01_Base_Map\Coastline\202004_Trin_IMA_pWGS84_DSAS_coastline_change_detection_epr2_2007-2014.shp,WCI95,-1,-1" #
20220916
11064300
20220916
11064300
150000000
5000
ItemDescription
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.9.3.32739
Coastline change detection epr2 2007 to 2014
1
-61.932296
-60.908470
10.849144
10.036854
End point rate (2), for the period 2007-2014 for Trinidad generated for the Coastline Change Detection for Trinidad and Tobago 1994-2014 Report.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>This dataset consists of shoreline change rates calculated with the Digital Shoreline Analysis System version 5.0 (DSAS v5.0) and stored as a new transect layer. Original measurement transects are cast by DSAS from the baseline to intersect shoreline vectors, and the intersect data provide location and time information used to calculate rates of change. These statistics are appended to the rate transect layer.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Nikia Gooding
environment
oceans
coastline
coastline change
coasts
erosion
accretion
DSAS
coastline change detection
Trinidad
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>These data were automatically generated using the DSAS version 5.0 software applications and should only be used for purposes explicitly stated by the originating organization, namely the IMA for further and compounding coastline change analyses and studies.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Enterprise Geodatabase Feature Class
2.370
dataset
EPSG
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0
20220916
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