20220608
09003300
1.0
FALSE
P200_Maks_vannhastighet_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_vannhastighet_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
3.4e+38
MosaicToNewRaster 'Resultater_Samlet\P200\Maks _vannhastighet\Opsjon_10_200aar_WS_Clip.tif';'Resultater_Samlet\P200\Maks _vannhastighet\Spmax_Op2-4_P200_Kbekk.tif';'Resultater_Samlet\P200\Maks _vannhastighet\Spmax_Op2-4_P200.tif';'Resultater_Samlet\P200\Maks _vannhastighet\Spmax_P200_Ops1+9_clip.tif';'Resultater_Samlet\P200\Maks _vannhastighet\Vmax_Ops6-7_P200_clip.tif';'Resultater_Samlet\P200\Maks _vannhastighet\Vmax_P200_Op8.tif' "C:\Users\eld\OneDrive - Multiconsult\Skrivebord\Kastes\Merge_NF" P200_vmaks.tif 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]] "32 bit float" 1 1 First First
ProjectRaster P200_vmaks.tif "\\nsv2-nasuni-01\prosjekt\O10240\10240464-01\10240464-01-03 ARBEIDSOMRAADE\10240464-01 RIVASS\10240464-01-05 MODELLER\Results\SAMLET\P200_Maks_vannhastighet_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
20220608
09081600
20220608
09081600
Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.9.0.32739
P200_Maks_vannhastighet_33N
1
10.753684
10.867022
59.828810
59.708237
P200_maksD
Maks vanndybde ved et 200-årsregn
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
3429970.000000
0.000000
32
20220608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