20240401
09202900
1.0
FALSE
Stallsville_StudyArea_Updated
002
Projected
GCS_NAD_1983_2011
Linear Unit: Foot (0.304800)
NAD_1983_2011_StatePlane_South_Carolina_FIPS_3900_Ft_Intl
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS["NAD_1983_2011_StatePlane_South_Carolina_FIPS_3900_Ft_Intl",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",2000000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Standard_Parallel_1",32.5],PARAMETER["Standard_Parallel_2",34.83333333333334],PARAMETER["Latitude_Of_Origin",31.83333333333333],UNIT["Foot",0.3048],AUTHORITY["EPSG",6570]]</WKT><XOrigin>-122907600</XOrigin><YOrigin>-92800700</YOrigin><XYScale>3048</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103146</WKID><LatestWKID>6570</LatestWKID></ProjectedCoordinateSystem>
20240401
09254700
20240401
09254700
Esri ArcGIS 13.1.2.41833
Stallsville_StudyArea_Updated
Stallsville Loop Updated
Stallsville Loop Updated
File Geodatabase Feature Class
dataset
EPSG
8.2.10(10.3.1)
0
Simple
FALSE
0
TRUE
FALSE
Stallsville_StudyArea_Updated
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
SHAPE
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20240401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==