20200212
21250800
1.0
FALSE
Flom_10aar_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 "10-års flom" "C:\Users\asms\OneDrive - Multiconsult\Stash\PC_sommer_2019\Documents\Arbeid\GIS\2019\Trondheim_VA\GIS\Data_behandlet\grunnlag.gdb\Flom_10aar_trondheim" # # # #
20200212
21250800
20200212
21250800
Microsoft Windows 10 Version 10.0 (Build 17763) ; Esri ArcGIS 12.5.0.22081
Flom_10aar_trondheim
Klima2050
TrondheimVA
Flom_10aar_trondheim
File Geodatabase Feature Class
dataset
EPSG
7.1(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Flom_10aar_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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