20220523
20300200
1.0
FALSE
P200_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\P200_Maks_vanndybde_33N.tif
Local Area Network
002
262013.118006
267566.118006
6626512.158490
6639624.158490
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 Resultater_Samlet\P200\Maks_vanndybde\P200_Maks_vanndybde.tif "599471.637734344 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\P200_Maks_vanndybde_clip.tif" Resultater_Samlet\Klippefil_Samlet_uten_merge inf ClippingGeometry NO_MAINTAIN_EXTENT
ProjectRaster "Dybde (klippet)\Raster 32N\P200_Maks_vanndybde.tif" "\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\P200_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
20220523
22150900
20220523
22150900
Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.9.0.32739
P200_Maks_vanndybde_33N_1
1
10.753684
10.867021
59.828809
59.708236
P200_MaksD
Maksimal vanndybde ved et 200-årsregn
Raster Dataset
dataset
EPSG
4.3(4.0.0)
2
1
0
262013.118006 6626512.158490
262013.118006 6639624.158490
267566.118006 6639624.158490
267566.118006 6626512.158490
264789.618006 6633068.158490
5553
1.000000
13112
1.000000
Band_1
1528169899229200.000000
0.000400
32
20220523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