20220714
19565700
1.0
FALSE
PCop_Maks_vanndybde_33N.tif
file://\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\PCop_Maks_vanndybde_33N.tif
Local Area Network
002
262013.155691
267566.155691
6626512.240647
6639624.240647
1
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/2.9.0'><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>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>25833</WKID><LatestWKID>25833</LatestWKID></ProjectedCoordinateSystem>
32
FALSE
LZW
1
TIFF
TRUE
continuous
floating point
inf
Clip Pcop_Maks_Vanndybde_uten_clip.tif "599471.637734345 6620642.49111455 603885.158733054 6633399.78411094" "\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\PCop_Maks_vanndybde.tif" Resultater_Samlet\Klippefil_Samlet inf ClippingGeometry NO_MAINTAIN_EXTENT
ProjectRaster "\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\PCop_Maks_vanndybde.tif" "\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\PCop_Maks_vanndybde_33N.tif" 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]] "Nearest neighbor" "1 1" # # 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]] NO_VERTICAL
20220715
08371000
20220715
08371000
Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.9.0.32739
PCop_Maks_vanndybde_33N_4
1
10.753684
10.867022
59.828810
59.708237
Maks_D_PCop
Maks vanndybde ved København-regnet
Raster Dataset
dataset
EPSG
4.3(4.0.0)
2
1
0
262013.155691 6626512.240647
262013.155691 6639624.240647
267566.155691 6639624.240647
267566.155691 6626512.240647
264789.655691 6633068.240647
5553
1.000000
13112
1.000000
Band_1
1528169899229200.000000
0.000500
32
20220715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=