20260306
12195800
1.0
FALSE
CreateFeatureclass D:\Juliane\Starkregen\Starkregen.gdb GeoGitter_5km POLYGON D:\Juliane\Starkregen\Daten\DE_Grid_ETRS89-UTM32_5km.gpkg\DE_Grid_ETRS89-UTM32_5km.gpkg\geogitter\DE_Grid_ETRS89-UTM32_5km.gpkg\main.de_grid_utm32_5km DISABLED DISABLED "PROJCS["ETRS_1989_UTM_Zone_32N",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",9.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]];-5120900 -9998100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 # 32_BIT
Append main.de_grid_utm32_5km GeoGitter_5km TEST # # # # NOT_UPDATE_GEOMETRY NO_ENFORCE_DOMAINS
ExportFeatures GeoGitter_5km D:\Juliane\Starkregen\Starkregen.gdb\GeoGitter_5km_ExportFeatures # NOT_USE_ALIAS "OBJECTID "OBJECTID" true true false 4 Long 0 0,First,#,GeoGitter_5km,OBJECTID,-1,-1;Shape_Length "Shape_Length" true true false 8 Double 0 0,First,#,GeoGitter_5km,Shape_Length,-1,-1;Shape_Area "Shape_Area" true true false 8 Double 0 0,First,#,GeoGitter_5km,Shape_Area,-1,-1" #
CopyFeatures GeoGitter_5km_ExportFeatures D:\Juliane\Starkregen\Starkregen.gdb\GeoGitter_5km_SummarizeWithin # # # #
JoinField D:\Juliane\Starkregen\Starkregen.gdb\GeoGitter_5km_SummarizeWithin OBJECTID D:\Juliane\Starkregen\scratch.gdb\summary_stats FID_GeoGitter_5km_SummarizeWithin # NOT_USE_FM # NO_INDEXES
DeleteFeatures tempLayer70dc8fc3-7771-4f9c-ab3b-3e5e8072d949
DeleteField D:\Juliane\Starkregen\Starkregen.gdb\GeoGitter_5km_SummarizeWithin FID_GeoGitter_5km_SummarizeWithin DELETE_FIELDS
SummarizeWithin GeoGitter_5km_ExportFeatures CatRaRE_2001_2024_W3_Project D:\Juliane\Starkregen\Starkregen.gdb\GeoGitter_5km_SummarizeWithin ONLY_INTERSECTING # ADD_SHAPE_SUM SQUAREMETERS # NO_MIN_MAJ NO_PERCENT #
ExportFeatures GeoGitter_5km_SummarizeWithin D:\Juliane\Starkregen\Daten\Ergebnis\Starkregenereignisse_2001-2025.shp # NOT_USE_ALIAS "OBJECTID_1 "OBJECTID" true true false 4 Long 0 0,First,#,GeoGitter_5km_SummarizeWithin,OBJECTID_1,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,GeoGitter_5km_SummarizeWithin,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,GeoGitter_5km_SummarizeWithin,Shape_Area,-1,-1;sum_Area_SQUAREMETERS "Summarized Area in SQUAREMETERS" true true false 8 Double 0 0,First,#,GeoGitter_5km_SummarizeWithin,sum_Area_SQUAREMETERS,-1,-1;Polygon_Count "Count of Polygons" true true false 4 Long 0 0,First,#,GeoGitter_5km_SummarizeWithin,Polygon_Count,-1,-1" #
Starkregenereignisse_2001-2025
002
file://\\LW137\D$\Juliane\Starkregen\Daten\Ergebnis\Starkregenereignisse_2001-2025.shp
Local Area Network
0.000
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_32N
<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/3.4.0'><WKT>PROJCS["ETRS_1989_UTM_Zone_32N",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",9.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25832]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</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>25832</WKID><LatestWKID>25832</LatestWKID></ProjectedCoordinateSystem>
20260309
09151300
20260309
09151300
Microsoft Windows 10 Version 10.0 (Build 17763) ; Esri ArcGIS 13.4.0.55405
starkregenereignisse
BKG
BKG
Shapefile
0.000
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
FALSE
FALSE
Starkregenereignisse_2001-2025
Feature Class
0
FID
FID
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.
OBJECTID_1
OBJECTID_1
Integer
10
10
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
sum_Area_S
sum_Area_S
Double
19
0
0
Polygon_Co
Polygon_Co
Integer
10
10
0
20260309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