20200212
21162300
1.0
FALSE
Flom_200aar_trondheim
002
file://\\OSL-5CD925BVRR\C$\Users\asms\OneDrive - Multiconsult\Stash\PC_sommer_2019\Documents\Arbeid\GIS\2019\Trondheim_VA\GIS\Data_behandlet\grunnlag.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>
CopyFeatures "200-års flom" "C:\Users\asms\OneDrive - Multiconsult\Stash\PC_sommer_2019\Documents\Arbeid\GIS\2019\Trondheim_VA\GIS\Data_behandlet\grunnlag.gdb\Flom_200aar_trondheim" # # # #
20200212
21162300
20200212
21162300
Microsoft Windows 10 Version 10.0 (Build 17763) ; Esri ArcGIS 12.5.0.22081
Flom_200aar_trondheim
Klima2050
Flom_200aar_trondheim
File Geodatabase Feature Class
dataset
EPSG
7.1(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Flom_200aar_trondheim
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.
objtype
OBJTYPE
String
32
0
0
ftema
FTEMA
Integer
4
0
0
fsident
FSIDENT
String
12
0
0
gjentakint
GJENTAKINT
SmallInteger
2
0
0
lavpunkt
LAVPUNKT
SmallInteger
2
0
0
areal
AREAL
Double
8
0
0
opphav
OPPHAV
String
3
0
0
noyaktighet
NOYAKTIGHET
Integer
4
0
0
malemetode
MALEMETODE
SmallInteger
2
0
0
globalid
globalid
GlobalID
38
0
0
dato
DATO
Integer
4
0
0
symbol
SYMBOL
Integer
4
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.
20200212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