20240103
14433800
1.0
FALSE
ligne_transport_gpe
002
585913.308000
702321.600000
6825205.420100
6886202.600000
1
Projected
GCS_RGF_1993
Linear Unit: Meter (1.000000)
RGF_1993_Lambert_93
<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/3.2.0'><WKT>PROJCS["RGF_1993_Lambert_93",GEOGCS["GCS_RGF_1993",DATUM["D_RGF_1993",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",700000.0],PARAMETER["False_Northing",6600000.0],PARAMETER["Central_Meridian",3.0],PARAMETER["Standard_Parallel_1",44.0],PARAMETER["Standard_Parallel_2",49.0],PARAMETER["Latitude_Of_Origin",46.5],UNIT["Meter",1.0],AUTHORITY["EPSG",2154]]</WKT><XOrigin>-35597500</XOrigin><YOrigin>-23641900</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.01</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102110</WKID><LatestWKID>2154</LatestWKID></ProjectedCoordinateSystem>
20240103
15202600
20240103
15202600
Esri ArcGIS 13.2.0.49743
ligne_transport_gpe
1
1.438767
3.031774
49.075673
48.517048
File Geodatabase Feature Class
dataset
EPSG
6.7(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
ligne_transport_gpe
Feature Class
0
objectid
objectid
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
l_ligne
Nom de la ligne
String
50
0
0
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.
20240103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