20240130
14480900
1.0
FALSE
A105.BAUMPATENSCHAFT
002
Server=vmaora; Service=sde:oracle11g:vmaora; User=a105; Version=SDE.DEFAULT
ArcSDE Connection
Projected
GCS_MGI
Linear Unit: Meter (1.000000)
MGI_Austria_GK_East
<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/10.8'><WKT>PROJCS["MGI_Austria_GK_East",GEOGCS["GCS_MGI",DATUM["D_MGI",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",-5000000.0],PARAMETER["Central_Meridian",16.33333333333333],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",31256]],VERTCS["GHA",VDATUM["Gebrauchshohen_Adria"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0],AUTHORITY["EPSG",5778]]</WKT><XOrigin>-5622500</XOrigin><YOrigin>-15001000</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>31256</WKID><LatestWKID>31256</LatestWKID><VCSWKID>5778</VCSWKID><LatestVCSWKID>5778</LatestVCSWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft "Database Connections\BAGSV156_a105.sde\A105.BAUMPATENSCHAFT" BAUMPATENSCHAFT # "HERKUNFT "HERKUNFT" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,HERKUNFT,-1,-1;ERHEBUNGSBOGENNUMMER "ERHEBUNGSBOGENNUMMER" true true false 4 Long 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,ERHEBUNGSBOGENNUMMER,-1,-1;CREATE_BY "CREATE_BY" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,CREATE_BY,-1,-1;CHANGE_BY "CHANGE_BY" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,CHANGE_BY,-1,-1;CREATE_DAT "CREATE_DAT" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,CREATE_DAT,-1,-1;CHANGE_DAT "CHANGE_DAT" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,CHANGE_DAT,-1,-1;CLIENT_ID "CLIENT_ID" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,CLIENT_ID,-1,-1;DELETED "DELETED" true true false 20 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,DELETED,-1,-1;KODIERUNG "KODIERUNG" true true false 200 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,KODIERUNG,-1,-1;BAUM_ART "BAUM_ART" true true false 200 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,BAUM_ART,-1,-1;DEUTSCHER_NAME "DEUTSCHER_NAME" true true false 200 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,DEUTSCHER_NAME,-1,-1;BAUM_TYP "BAUM_TYP" true true false 200 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,BAUM_TYP,-1,-1;BAUM_ALTER "BAUM_ALTER" true true false 200 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,BAUM_ALTER,-1,-1;PFLANZJAHR "PFLANZJAHR" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,PFLANZJAHR,-1,-1;ENTNAHMEJAHR "ENTNAHMEJAHR" true true false 50 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,ENTNAHMEJAHR,-1,-1;PATENSCHAFT "PATENSCHAFT" true true false 255 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,PATENSCHAFT,-1,-1;BAUMPATE "BAUMPATE" true true false 255 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,BAUMPATE,-1,-1;WIDMUNG "WIDMUNG" true true false 255 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,WIDMUNG,-1,-1;KATEGORIE "KATEGORIE" true true false 10 Text 0 0 ,First,#,O:\pool\Diehold\test.gdb\Baumpatenschaft\Baumpatenschaft,KATEGORIE,-1,-1" #
20240130
14481000
20240130
14481000
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
Grazer Stadtbäume_vollBespendet
Grazer Stadtbäume_vollBespendet
Grazer Stadtbäume_vollBespendet
SDE Feature Class
dataset
EPSG
7.6.6(9.3.0.0)
0
Simple
FALSE
0
TRUE
FALSE
A105.BAUMPATENSCHAFT
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
HERKUNFT
HERKUNFT
String
50
0
0
ERHEBUNGSBOGENNUMMER
ERHEBUNGSBOGENNUMMER
Integer
4
10
0
CREATE_BY
CREATE_BY
String
50
0
0
CHANGE_BY
CHANGE_BY
String
50
0
0
CREATE_DAT
CREATE_DAT
String
50
0
0
CHANGE_DAT
CHANGE_DAT
String
50
0
0
CLIENT_ID
CLIENT_ID
String
50
0
0
DELETED
DELETED
String
20
0
0
KODIERUNG
KODIERUNG
String
200
0
0
BAUM_ART
BAUM_ART
String
200
0
0
DEUTSCHER_NAME
DEUTSCHER_NAME
String
200
0
0
BAUM_TYP
BAUM_TYP
String
200
0
0
BAUM_ALTER
BAUM_ALTER
String
200
0
0
PFLANZJAHR
PFLANZJAHR
String
50
0
0
ENTNAHMEJAHR
ENTNAHMEJAHR
String
50
0
0
PATENSCHAFT
PATENSCHAFT
String
255
0
0
BAUMPATE
BAUMPATE
String
255
0
0
WIDMUNG
WIDMUNG
String
255
0
0
KATEGORIE
KATEGORIE
String
10
0
0
SHAPE
SHAPE
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
20240130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