20200321
00052100
1.0
FALSE
orszagos_lp
002
437312.500122
937492.500122
43737.500122
352597.500122
1
Projected
GCS_Hungarian_1972
Linear Unit: Meter (1.000000)
Hungarian_1972_Egyseges_Orszagos_Vetuleti
<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/10.4'><WKT>PROJCS["Hungarian_1972_Egyseges_Orszagos_Vetuleti",GEOGCS["GCS_Hungarian_1972",DATUM["D_Hungarian_1972",SPHEROID["GRS_1967",6378160.0,298.247167427]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Hotine_Oblique_Mercator_Azimuth_Center"],PARAMETER["False_Easting",650000.0],PARAMETER["False_Northing",200000.0],PARAMETER["Scale_Factor",0.99993],PARAMETER["Azimuth",90.0],PARAMETER["Longitude_Of_Center",19.04857177777778],PARAMETER["Latitude_Of_Center",47.14439372222],UNIT["Meter",1.0],AUTHORITY["EPSG",23700]]</WKT><XOrigin>-29338800</XOrigin><YOrigin>-33101500</YOrigin><XYScale>140896877.94850722</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>23700</WKID><LatestWKID>23700</LatestWKID></ProjectedCoordinateSystem>
32
FALSE
None
1
GRID
TRUE
continuous
floating point
-3.4028235e+038
20200321
20185300
20200321
20185300
Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686
orszagos_lp
1
16.171577
22.935975
48.516794
45.677625
Flood hazard areas
FD hazard areas low probability scenario
File Geodatabase Raster Dataset
dataset
EPSG
3.2(8.1.0)
2
1
0
437312.500122 43737.500122
437312.500122 352597.500122
937492.500122 352597.500122
937492.500122 43737.500122
687402.500122 198167.500122
25009
20.000000
15443
20.000000
Orszagos_LP
100.760712
0.000000
32
20200321
Pixel
15443
25009
20.000000
20.000000
32
1
Upper Left
FALSE
LZ77
1
pixel codes
FGDBR
TRUE
row and column
20.000000
20.000000
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