20150828
17081600
1.0
FALSE
nlcd_imp_2011
002
-2493045.000000
2342655.000000
177285.000000
3310005.000000
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
Albers_Conical_Equal_Area
<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["Albers_Conical_Equal_Area",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["Albers"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-96.0],PARAMETER["standard_parallel_1",29.5],PARAMETER["standard_parallel_2",45.5],PARAMETER["latitude_of_origin",23.0],UNIT["Meters",1.0]]</WKT><XOrigin>-16901100</XOrigin><YOrigin>-6972200</YOrigin><XYScale>266467840.99085236</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></ProjectedCoordinateSystem>
8
TRUE
RLE
1
GRID
TRUE
discrete
unsigned integer
255
20150828
18085500
20150828
18085500
Esri ArcGIS 10.2.2.3552
nlcd_imp_2011
1
-130.232828
-63.672192
52.877264
21.742308
BAGIS Tag End Tag
2011 30-meter NLCD % Impervious Surface
2011 30-meter NLCD % Impervious Surface
Geography, Portland State University
Public for BAGIS Users
File Geodatabase Raster Dataset
dataset
2
1
0
-2493045.000000 177285.000000
-2493045.000000 3310005.000000
2342655.000000 3310005.000000
2342655.000000 177285.000000
-75195.000000 1743645.000000
161190
30.000000
104424
30.000000
Band_1
127.000000
0.000000
8
20150828
Pixel
104424
161190
30.000000
30.000000
8
1
Upper Left
TRUE
LZ77
1
pixel codes
FGDBR
TRUE
row and column
30.000000
30.000000
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