20221027
11424200
1.0
FALSE
nabo_8
002
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_35N
<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["ETRS_1989_UTM_Zone_35N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",27.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25835]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>25835</WKID><LatestWKID>25835</LatestWKID></ProjectedCoordinateSystem>
20221206
13184800
20221206
13184800
Esri ArcGIS 13.0.2.36056
nabo_8
File Geodatabase Feature Class
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
nabo_8
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.
POINT_X
POINT_X
Double
8
0
0
POINT_Y
POINT_Y
Double
8
0
0
20221206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