20250509
10531900
1.0
FALSE
FHA_D_ExportFeatures
002
-
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/3.0.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20250509
11115700
20250509
11115700
Esri ArcGIS 13.0.0.36056
FHA_D_ExportFeatures
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
FHA_D_ExportFeatures
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.
title
Title
String
2000
0
0
SymbolID
SymbolID
String
20
0
0
FID_Polygon_17
FID_Polygon_17
Integer
4
0
0
FID_Polygon_10
FID_Polygon_10
Integer
4
0
0
title_1
Title
String
2000
0
0
SymbolID_1
SymbolID
String
20
0
0
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.
20250509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