20200514
22500400
1.0
FALSE
DefineProjection 0301ledningl PROJCS['ETRS_1989_NTM_Zone_10',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',100000.0],PARAMETER['False_Northing',1000000.0],PARAMETER['Central_Meridian',10.5],PARAMETER['Scale_Factor',1.0],PARAMETER['Latitude_Of_Origin',58.0],UNIT['Meter',1.0]]
FeatureClassToFeatureClass 0301ledningl "C:\Users\asms\OneDrive - Multiconsult\Stash\PC_sommer_2019\Documents\Arbeid\GIS\2020\VPKL_Oslo_kommune\GIS\Projects\VPKL\VPKL.gdb" _0301ledningl_utm33 # "KOORDH "KOORDH" true true false 10 Double 2 9,First,#,0301ledningl,KOORDH,-1,-1;GDM_TEMA "GDM_TEMA" true true false 4 Short 0 4,First,#,0301ledningl,GDM_TEMA,-1,-1;OPPDATDATO "OPPDATDATO" true true false 20 Text 0 0,First,#,0301ledningl,OPPDATDATO,0,20;LOKALID "LOKALID" true true false 100 Text 0 0,First,#,0301ledningl,LOKALID,0,100;NAVNEROM "NAVNEROM" true true false 100 Text 0 0,First,#,0301ledningl,NAVNEROM,0,100;VERSJONID "VERSJONID" true true false 100 Text 0 0,First,#,0301ledningl,VERSJONID,0,100;MALEMETODE "MALEMETODE" true true false 2 Short 0 2,First,#,0301ledningl,MALEMETODE,-1,-1;NOYAKTIGHE "NOYAKTIGHE" true true false 6 Long 0 6,First,#,0301ledningl,NOYAKTIGHE,-1,-1;SYNBARHET "SYNBARHET" true true false 2 Short 0 2,First,#,0301ledningl,SYNBARHET,-1,-1;H_MALEMETO "H_MALEMETO" true true false 2 Short 0 2,First,#,0301ledningl,H_MALEMETO,-1,-1;H_NOYAKTIG "H_NOYAKTIG" true true false 6 Long 0 6,First,#,0301ledningl,H_NOYAKTIG,-1,-1;MAX_AVVIK "MAX_AVVIK" true true false 6 Long 0 6,First,#,0301ledningl,MAX_AVVIK,-1,-1;VERIFDATO "VERIFDATO" true true false 20 Text 0 0,First,#,0301ledningl,VERIFDATO,0,20;OMRADEID "OMRADEID" true true false 8 Long 0 8,First,#,0301ledningl,OMRADEID,-1,-1;ORGDATVERT "ORGDATVERT" true true false 100 Text 0 0,First,#,0301ledningl,ORGDATVERT,0,100;KOPIDATO "KOPIDATO" true true false 20 Text 0 0,First,#,0301ledningl,KOPIDATO,0,20;MASTEFUNKS "MASTEFUNKS" true true false 20 Text 0 0,First,#,0301ledningl,MASTEFUNKS,0,20;OBJTYPE "OBJTYPE" true true false 32 Text 0 0,First,#,0301ledningl,OBJTYPE,0,32;NETTVERKST "NETTVERKST" true true false 20 Text 0 0,First,#,0301ledningl,NETTVERKST,0,20;LEDNINGSNE "LEDNINGSNE" true true false 20 Text 0 0,First,#,0301ledningl,LEDNINGSNE,0,20;LEDN_HOYDE "LEDN_HOYDE" true true false 20 Text 0 0,First,#,0301ledningl,LEDN_HOYDE,0,20;MEDIUM "MEDIUM" true true false 1 Text 0 0,First,#,0301ledningl,MEDIUM,0,1;LEDN_EIERT "LEDN_EIERT" true true false 20 Text 0 0,First,#,0301ledningl,LEDN_EIERT,0,20;LEDN_EIERN "LEDN_EIERN" true true false 50 Text 0 0,First,#,0301ledningl,LEDN_EIERN,0,50;LEDN_EIERA "LEDN_EIERA" true true false 4 Float 1 3,First,#,0301ledningl,LEDN_EIERA,-1,-1;MASTEKONST "MASTEKONST" true true false 2 Short 0 2,First,#,0301ledningl,MASTEKONST,-1,-1;PRODUKT "PRODUKT" true true false 15 Text 0 0,First,#,0301ledningl,PRODUKT,0,15;VERSJON "VERSJON" true true false 20 Text 0 0,First,#,0301ledningl,VERSJON,0,20;DATFGSTDAT "DATFGSTDAT" true true false 20 Text 0 0,First,#,0301ledningl,DATFGSTDAT,0,20" #
_0301ledningl_utm33
002
file://\\OSL-5CD925BVRR\C$\Users\asms\OneDrive - Multiconsult\Stash\PC_sommer_2019\Documents\Arbeid\GIS\2020\VPKL_Oslo_kommune\GIS\Projects\VPKL\VPKL.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_33N
<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/2.5.0'><WKT>PROJCS["ETRS_1989_UTM_Zone_33N",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",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25833]]</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>25833</WKID><LatestWKID>25833</LatestWKID></ProjectedCoordinateSystem>
20200514
22511700
20200514
22511700
Microsoft Windows 10 Version 10.0 (Build 17763) ; Esri ArcGIS 12.5.1.22081
Ledning
VPKL
_0301ledningl_utm33
File Geodatabase Feature Class
dataset
EPSG
7.1(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
_0301ledningl_utm33
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.
KOORDH
KOORDH
Double
8
0
0
GDM_TEMA
GDM_TEMA
SmallInteger
2
0
0
OPPDATDATO
OPPDATDATO
String
20
0
0
LOKALID
LOKALID
String
100
0
0
NAVNEROM
NAVNEROM
String
100
0
0
VERSJONID
VERSJONID
String
100
0
0
MALEMETODE
MALEMETODE
SmallInteger
2
0
0
NOYAKTIGHE
NOYAKTIGHE
Integer
4
0
0
SYNBARHET
SYNBARHET
SmallInteger
2
0
0
H_MALEMETO
H_MALEMETO
SmallInteger
2
0
0
H_NOYAKTIG
H_NOYAKTIG
Integer
4
0
0
MAX_AVVIK
MAX_AVVIK
Integer
4
0
0
VERIFDATO
VERIFDATO
String
20
0
0
OMRADEID
OMRADEID
Integer
4
0
0
ORGDATVERT
ORGDATVERT
String
100
0
0
KOPIDATO
KOPIDATO
String
20
0
0
MASTEFUNKS
MASTEFUNKS
String
20
0
0
OBJTYPE
OBJTYPE
String
32
0
0
NETTVERKST
NETTVERKST
String
20
0
0
LEDNINGSNE
LEDNINGSNE
String
20
0
0
LEDN_HOYDE
LEDN_HOYDE
String
20
0
0
MEDIUM
MEDIUM
String
1
0
0
LEDN_EIERT
LEDN_EIERT
String
20
0
0
LEDN_EIERN
LEDN_EIERN
String
50
0
0
LEDN_EIERA
LEDN_EIERA
Single
4
0
0
MASTEKONST
MASTEKONST
SmallInteger
2
0
0
PRODUKT
PRODUKT
String
15
0
0
VERSJON
VERSJON
String
20
0
0
DATFGSTDAT
DATFGSTDAT
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.
20200514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