20250511
00203400
1.0
FALSE
Archeologische_basiskaart_sep_2023
002
file://\\omgeving.local\DATA\Applications\Blizdata\Duurzaamheid\Klimaatadaptatie\Regionale Stresstesten\Regionale Stresstesten.gdb
Local Area Network
Projected
GCS_Amersfoort
Linear Unit: Meter (1.000000)
RD_New
<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/2.9.0'><WKT>PROJCS["RD_New",GEOGCS["GCS_Amersfoort",DATUM["D_Amersfoort",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Double_Stereographic"],PARAMETER["False_Easting",155000.0],PARAMETER["False_Northing",463000.0],PARAMETER["Central_Meridian",5.38763888888889],PARAMETER["Scale_Factor",0.9999079],PARAMETER["Latitude_Of_Origin",52.15616055555555],UNIT["Meter",1.0],AUTHORITY["EPSG",28992]]</WKT><XOrigin>-30515500</XOrigin><YOrigin>-30279500</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>28992</WKID><LatestWKID>28992</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass "D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp" "D:\ArcGIS PRO\GeoWeb\PROD\Archeologie\Default.gdb" Archeologische_basiskaart_sep_2023 # "FID_1 "FID_1" true true false 38 Double 0 38,First,#,D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp,FID_1,-1,-1;TEXT "TEXT" true true false 38 Double 0 38,First,#,D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp,TEXT,-1,-1;Gebied "Gebied" true true false 254 Text 0 0,First,#,D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp,Gebied,0,254;Toelichtin "Toelichtin" true true false 254 Text 0 0,First,#,D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp,Toelichtin,0,254;Verbodsbep "Verbodsbep" true true false 254 Text 0 0,First,#,D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp,Verbodsbep,0,254;Artikel "Artikel" true true false 254 Text 0 0,First,#,D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp,Artikel,0,254;Nummer "Nummer" true true false 10 Text 0 0,First,#,D:\ArcGIS PRO\Data\Archeologische_basiskaart_sep_2023\Archeologische_basiskaart_sep_2023.shp,Nummer,0,10" #
Rename "D:\ArcGIS PRO\GeoWeb\PROD\Archeologie\Default.gdb\Archeologische_basiskaart_sep_2023" "D:\ArcGIS PRO\GeoWeb\PROD\Archeologie\Default.gdb\ARCHEOLOGIE_Beleidskaart_Gouda_sept2023" FeatureClass
CopyMultiple "'D:\ArcGIS PRO\GeoWeb\PROD\Archeologie\Default.gdb\ARCHEOLOGIE_Beleidskaart_Gouda_sept2023' FeatureClass" "D:\ArcGIS PRO\CONNECTIONS\db-geodata_ODMH_geo.sde" ARCHEOLOGIE_Beleidskaart_Gouda_sept2023 "ARCHEOLOGIE_Beleidskaart_Gouda_sept2023 FeatureClass ODMH.GEO.ARCHEOLOGIE_Beleidskaart_Gouda_sept2023 #"
Copy C:\Users\JelleL\AppData\Roaming\Esri\ArcGISPro\Favorites\GEODATA_VIEWER_ODMH.sde\ODMH.GEO.ARCHEOLOGIE_Beleidskaart_Gouda_sept2023 "P:\Blizdata\Duurzaamheid\Klimaatadaptatie\Regionale Stresstesten\Regionale Stresstesten.gdb\ARCHEOLOGIE_Beleidskaart_Gouda" FeatureClass #
DeleteField ARCHEOLOGIE_Beleidskaart_Gouda FID_1;TEXT;Nummer "Delete Fields"
20240228
13365100
20240228
13365100
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.9.10.32739
ARCHEOLOGIE Beleidskaart Gouda
Regionale stresstesten
Regio
Droogte
Archeologie
Klimaatadaptatie
File Geodatabase Feature Class
dataset
EPSG
4.5(8.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Archeologische_basiskaart_sep_2023
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.
FID_1
FID_1
Double
8
0
0
TEXT
TEXT
Double
8
0
0
Gebied
Gebied
String
254
0
0
Toelichtin
Toelichtin
String
254
0
0
Verbodsbep
Verbodsbep
String
254
0
0
Artikel
Artikel
String
254
0
0
Nummer
Nummer
String
10
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.
20240228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