20150910
16121100
1.0
FALSE
M9p0_IMM
002
69093.708465
2555563.308465
-273562.798753
1945062.001247
1
Projected
GCS_NAD_1983_2011
Linear Unit: Foot (0.304800)
NAD_1983_2011_Oregon_Statewide_Lambert_Ft_Intl
<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_2011_Oregon_Statewide_Lambert_Ft_Intl",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1312335.958005249],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",43.0],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",41.75],UNIT["Foot",0.3048]]</WKT><XOrigin>-118489100</XOrigin><YOrigin>-97381100</YOrigin><XYScale>37592196.316242374</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
32
FALSE
None
1
BIL
TRUE
continuous
floating point
-3.4028231e+038
20160114
13555700
20160114
13555700
Esri ArcGIS 10.1.1.3143
M9p0_IMM
1
-125.479165
-115.520894
47.084564
40.906715
File Geodatabase Raster Dataset
dataset
2
1
0
69093.708465 -273562.798753
69093.708465 1945062.001247
2555563.308465 1945062.001247
2555563.308465 -273562.798753
1312328.508465 835749.601247
25269
98.400000
22547
98.400000
Band_1
32
20160114
Pixel
22547
25269
98.400000
98.400000
32
1
Upper Left
FALSE
LZ77
1
pixel codes
FGDBR
TRUE
row and column
98.400000
98.400000
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