20211202
17255700
1.0
FALSE
NLCD_2019_impervious
002
-2493044.053748
2342655.946252
177284.060400
3310004.060400
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_Albers
<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/10.5'><WKT>PROJCS["NAD_1983_Albers",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["Meter",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>
20211202
17255700
20211202
17255700
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333
NLCD_2019_impervious
1
-130.232812
-63.672184
52.877255
21.742302
2019 30-meter NLCD % Impervious Surface
BAGIS Tag End Tag
2019 30-meter NLCD % Impervious Surface
Geography, Portland State University
Public for BAGIS Users
File Geodatabase Raster Dataset
dataset
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
VAT_NLCD_2019_impervious
Table
102
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Value
Value
Integer
4
0
0
Count
Count
Double
8
0
0
Red
Red
Integer
4
0
0
Green
Green
Integer
4
0
0
Blue
Blue
Integer
4
0
0
Opacity
Opacity
Integer
4
0
0
20211202
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