20220830
08374800
1.0
FALSE
Hapsal_1884
002
471308.683571
474614.120631
6533115.233401
6536737.526007
1
file://\\LEN-PEEP\C$\Users\peep.aedviir\OneDrive - Haapsalu Linnavalitsus\Documents\ArcGIS\Projects\Hapsal_kaardikohtide_loomine\Hapsal_kaardikohtide_loomine.gdb
Local Area Network
Projected
GCS_Estonia_1997
Linear Unit: Meter (1.000000)
Estonia_1997_Estonia_National_Grid
<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/3.0.0'><WKT>PROJCS["Estonia_1997_Estonia_National_Grid",GEOGCS["GCS_Estonia_1997",DATUM["D_Estonia_1997",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",6375000.0],PARAMETER["Central_Meridian",24.0],PARAMETER["Standard_Parallel_1",58.0],PARAMETER["Standard_Parallel_2",59.33333333333334],PARAMETER["Latitude_Of_Origin",57.51755393055556],UNIT["Meter",1.0],AUTHORITY["EPSG",3301]]</WKT><XOrigin>-34999000</XOrigin><YOrigin>-25103900</YOrigin><XYScale>126865535.01142272</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3301</WKID><LatestWKID>3301</LatestWKID></ProjectedCoordinateSystem>
Clip 1884.tif "471308,683571271 6533115,23340065 474614,120630943 6536737,52600667" "C:\Users\peep.aedviir\OneDrive - Haapsalu Linnavalitsus\Documents\ArcGIS\Projects\Hapsal_kaardikohtide_loomine\Hapsal_kaardikohtide_loomine.gdb\Hapsal_1884" 1884_kate 256 ClippingGeometry MAINTAIN_EXTENT
20220830
08374800
20220830
8390800
150000000
5000
ItemDescription
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 13.0.0.36056
Hapsal_1884
1
23.501227
23.559101
58.968923
58.936196
Hapsal_1884
Hapsal_1884
File Geodatabase Raster Dataset
dataset
EPSG
6.7(9.0.0)
Pixel
4021
3670
0,900664
0,900844
8
1
Upper Left
FALSE
JPEG
3
pixel codes
FGDBR
TRUE
row and column
0,900664
0,900844
20220830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