20220929
13131600
1.0
FALSE
Reclassify Astand_Lands.img Value "10 10;100 100;110 100;200 200;210 200;300 300;310 300" D:\AG_Verkefni\SjalfbaerniReglugerd\ArcPro\Astand_Saman\Astand_Land_Reclass.img DATA
Clip "Astand saman\Astand_Land_Reclass.img" "244288,924900003 320928,5493 758627,463100001 674475,2788" D:\AG_Verkefni\SjalfbaerniReglugerd\ArcPro\Astand_Saman\Astand_Land_Reclass_Clip.img Beitilond\Beitilond 0 ClippingGeometry NO_MAINTAIN_EXTENT
ProjectRaster "Astand saman\Astand_Land_Reclass_Clip.img" D:\AG_Verkefni\SjalfbaerniReglugerd\ArcPro\WebMercator\Astand_Lands_WebMerc.img PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] "Bilinear interpolation" "5 5" ISN_1993_To_WGS_1984_1 # PROJCS["ISN_1993_Lambert_1993",GEOGCS["GCS_ISN_1993",DATUM["D_Islands_Network_1993",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",500000.0],PARAMETER["Central_Meridian",-19.0],PARAMETER["Standard_Parallel_1",64.25],PARAMETER["Standard_Parallel_2",65.75],PARAMETER["Latitude_Of_Origin",65.0],UNIT["Meter",1.0]] NO_VERTICAL
{"type":"CIMLayerDocument","version":"2.9.0","build":32739,"layers":["CIMPATH=samantekt_sv__a_sem_eru___gr_inn_og_eiga_a__vera__a_/astand_land_reclass_img.xml"],"layerDefinitions":[{"type":"CIMRasterLayer","name":"Astand_Land_Reclass.img","uRI":"CIMPATH=samantekt_sv__a_sem_eru___gr_inn_og_eiga_a__vera__a_/astand_land_reclass_img.xml","sourceModifiedTime":{"type":"TimeInstant"},"useSourceMetadata":true,"description":"Astand_Land_Reclass.img","layerElevation":{"type":"CIMLayerElevationSurface","mapElevationID":"{CC5DAEEF-0F0D-497B-89CD-EB302D9AE611}"},"expanded":true,"layerType":"Operational","showLegends":true,"visibility":true,"displayCacheType":"Permanent","maxDisplayCacheAge":5,"showPopups":true,"serviceLayerID":-1,"refreshRate":-1,"refreshRateUnit":"esriTimeUnitsSeconds","blendingMode":"Alpha","allowDrapingOnIntegratedMesh":true,"dataConnection":{"type":"CIMStandardDataConnection","workspaceConnectionString":"DATABASE=D:\\AG_Verkefni\\SjalfbaerniReglugerd\\ArcPro\\Astand_Saman\\","workspaceFactory":"Raster","dataset":"Astand_Land_Reclass.img","datasetType":"esriDTRasterDataset"},"colorizer":{"type":"CIMRasterUniqueValueColorizer","resamplingType":"NearestNeighbor","fieldName":"Value","groups":[{"type":"CIMRasterUniqueValueGroup","classes":[{"type":"CIMRasterUniqueValueClass","values":["10"],"label":"10","color":{"type":"CIMRGBColor","values":[122,82,171,100]}},{"type":"CIMRasterUniqueValueClass","values":["100"],"label":"100","color":{"type":"CIMRGBColor","values":[146,216,84,100]}},{"type":"CIMRasterUniqueValueClass","values":["200"],"label":"200","color":{"type":"CIMRGBColor","values":[204,120,84,100]}},{"type":"CIMRasterUniqueValueClass","values":["300"],"label":"300","color":{"type":"CIMRGBColor","values":[116,241,250,100]}}],"heading":"Value"}],"colorRamp":{"type":"CIMRandomHSVColorRamp","colorSpace":{"type":"CIMICCColorSpace","url":"Default RGB"},"maxH":360,"minS":33,"maxS":66,"minV":50,"maxV":99,"minAlpha":100,"maxAlpha":100}},"attributeTable":{"type":"CIMRasterTable","displayField":"Value","editable":true}}]}
Astand_Lands_WebMerc.img
file://D:\AG_Verkefni\SjalfbaerniReglugerd\ArcPro\WebMercator\Astand_Lands_WebMerc.img
Local Area Network
002
-2754259.052189
-1468629.052189
9173952.667114
10033137.667114
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</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>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
16
FALSE
None
1
IMAGINE Image
TRUE
discrete
unsigned integer
0
20220930
15533700
20220930
15533700
Microsoft Windows 10 Version 10.0 (Build 22000) ; Esri ArcGIS 12.9.0.32739
Flokkar_ sundurlidad_Blend
1
-24.741930
-13.192919
66.564702
63.299032
sjalfbaerni
astandlands
astand lands
ástandsmat, sjálfbærni reglugerð ástand lands í flokkum. Pastel blend.04/10/2022
Raster Dataset
dataset
EPSG
6.18.3(9.3.1.2)
2
1
0
-2754259.052189 9173952.667114
-2754259.052189 10033137.667114
-1468629.052189 10033137.667114
-1468629.052189 9173952.667114
-2111444.052189 9603545.167114
257126
5.000000
171837
5.000000
Astand_Lands_WebMerc.img.vat
Table
4
OID
OID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Value
Value
Integer
10
10
0
Count
Count
Double
19
0
0
Flokkur
Flokkur
String
254
0
0
Flokkur_it
Flokkur_it
String
254
0
0
Layer_1
300.000000
10.000000
16
20220930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