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Server=SQLE1; Service=sde:sqlserver:SQLE1; Database=CRC_Reg13; User=crc_gis; Version=dbo.DEFAULT
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GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Georgia_East_FIPS_1001_Feet
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CopyFeatures C:\Projects\CMSP\wetlands\SummaryTool\UTM17\SLAMM2057UplandtoWetland.shp C:\Projects\CRC\DRIData\GIDataGT.gdb\SLAMM2057UplandtoWetland # # # #
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ItemDescription
Chester W. Jackson Jr., Ph.D.
Georgia Southern University
Assistant Professor of Geology
PO Box 8149
Statesboro
Georgia
30460
cjackson@georgiasouthern.edu
US
jackson.cwjr@gmail.com
912-478-0174
912-478-0668
ArcGIS Metadata
1.0
1.0
SDE Feature Class
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vector digital data
MAPPING SHORELINE EROSION AND VULNERABILITY ALONG THE GEORGIA COAST
1
20150408
Chester W. Jackson Jr., Ph.D.
Georgia Southern University
Assistant Professor of Geology
PO Box 8149
Statesboro
Georgia
30460
cjackson@georgiasouthern.edu
US
jackson.cwjr@gmail.com
912-478-0174
912-478-0668
2015-04-08T00:00:00
2015-04-08T00:00:00
Uplands Affected by Sea Level Rise in 2057
1
Georgia
The Georgia Coast
2007-01-01T00:00:00
2057-01-01T00:00:00
Georgia Dept. of Natural Resources, Coastal Resources Division contracted with Georgia Southern University and the Applied Coastal Research Lab to asses barrier island, upland, and estuarine shoreline positions, erosion rates, and forcings to assist with vulnerability assessments and planning to help coastal communities develop and prioritize responses to shoreline change and sea level change. This dataset was developed to provide additional shoreline data, estimate erosion rates along Georgia's coastal counties, and develop improved information products for state and local governments.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>A SLAMM (version 6) model simulation using a “1-meter sea-level rise estimate by the year 2057” (50 years from the model’s initial baseline conditions) to determine upland areas potentially vulnerable to conversion into tidally inundated environments (e.g. marsh, tidal flats). </SPAN></P></DIV></DIV></DIV>
shoreline change
estuarine
marsh
barrier island
erosion
accretion
SLAMM
sea level
2021
Enhancing Coastal Resiliency using Green Infrastructure
Chester W. Jackson Jr., Ph.D.
Assistant Professor of Geology
Department of Geology & Geography
Georgia Southern University
P.O. Box 8149
Statesboro, GA 30460-8149
cjackson@georgiasouthern.edu
Applied Coastal Research Laboratory
Georgia Southern University
10 Ocean Science Circle
Savannah, GA 31411
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset is not warranted or guaranteed. Not to be used for navigation purposes. The user assumes all risks.</SPAN></P></DIV></DIV></DIV>
shorelines, estuarine, ambur, marsh, barrier island
Chester W. Jackson Jr., Ph.D.
Georgia Southern University
Assistant Professor of Geology
PO Box 8149
Statesboro
Georgia
30460
cjackson@georgiasouthern.edu
US
jackson.cwjr@gmail.com
912-478-0174
912-478-0668
2007-2057
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333
1
-81.907085
-80.841256
32.236820
30.709996
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset is not warranted or guaranteed. Not to be used for navigation purposes. The user assumes all risks.</SPAN></P></DIV></DIV></DIV>
Outputs from a SLAMM (version 6) model simulation using a “1-meter sea-level rise estimate by the year 2057” (50 years from the model’s initial baseline conditions) were used to determine upland areas potentially vulnerable to conversion into tidally inundated environments (e.g. marsh, tidal flats, transitional). Data were extracted from ASCII grids from model runs generated in a GA DNR CRD sponsored study conducted by Dr. Clark Alexander at UGA Skidaway Institute of Oceanography. Data were extracted and adjusted on the basis where upland coded pixel values converted to pixel values in the subsequent model grids for the years 2050 and 2100 that were coded to an environment that was potentially tidally inundated.
The SLAMM 6 simulation used to derive geospatial data in this study is considered preliminary and possess a number of caveats.
SLAMM 6 predictions
CRC_Reg13.DBO.SLAMM2057UplandtoWetland
Feature Class
22106
polyline
shoreline polylines derived from historical maps and imagery
OBJECTID
OBJECTID
OID
4
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Internal feature number.
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Sequential unique whole numbers that are automatically generated.
Shape
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Feature geometry.
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Coordinates defining the features.
ID
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ArcGIS auto generated numbers.
ESRI
GRIDCODE
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Area_acre
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Area of features in acre units.
ESRI Calculated Geometry
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created_user
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created_date
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dataset
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