20120816
19303000
1.0
ISO 19139 Metadata Implementation Specification
FALSE
SusquehannaBasin2007_2_meter
002
373500.000000
507000.000000
4639500.000000
4740000.000000
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_18N
<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/10.1'><WKT>PROJCS["NAD_1983_UTM_Zone_18N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",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",-75.0],PARAMETER["scale_factor",0.9996],PARAMETER["latitude_of_origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26918]]</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>26918</WKID><LatestWKID>26918</LatestWKID></ProjectedCoordinateSystem>
32
FALSE
LZW
1
TIFF
TRUE
continuous
floating point
-3.4028235e+038
20150617
08284800
20150617
08284800
Esri ArcGIS 10.1.0.3035
SusquehannaBasin2007_2_meter
1
-76.547018
-74.914379
42.812558
41.897318
FEMA_SusquehannaBasin2007_2_meter
FEMA_SusquehannaBasin2007_2_meter
FEMA_SusquehannaBasin2007_2_meter
File Geodatabase Raster Dataset
dataset
EPSG
7.9.4
2
1
0
373500.000000 4639500.000000
373500.000000 4740000.000000
507000.000000 4740000.000000
507000.000000 4639500.000000
440250.000000 4689750.000000
66750
2.000000
50250
2.000000
Band_1
32
Meter
20150617
Pixel
50250
66750
2.000000
2.000000
32
1
Upper Left
FALSE
LZ77
1
pixel codes
FGDBR
TRUE
row and column
2.000000
2.000000
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