20200419
01473200
1.0
FALSE
ak_yukon_DEM_30m.img
002
-5482571.198541
-1389756.198485
4191040.774478
6211516.069691
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/10.7'><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>
32
FALSE
None
1
IMAGINE Image
TRUE
continuous
floating point
-3.4028235e+38
20200419
01473200
20200419
01473200
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
ak_yukon_DEM_30m.img
1
-180.000000
180.000000
90.000000
40.944842
USGS and ASTER 30 meter DEM for Alaska and Yukon Territory, Canada, collected for USDA-NRCS National Water and Climate Center by Geography, Portland State University
DEM
30 meters
Alaska
Yukon Territory
USGS and ASTER 30 meter DEM for Alaska and Yukon Territory, Canada, collected for USDA-NRCS National Water and Climate Center by Geography, Portland State University
Geography, Portland State University
Public for BAGIS Users
Raster Dataset
dataset
2
1
0
-5482571.198541 4191040.774478
-5482571.198541 6211516.069691
-1389756.198485 6211516.069691
-1389756.198485 4191040.774478
-3436163.698513 5201278.422085
184816
22.145350
91237
22.145350
Layer_1
6411.000000
-304.000000
32
20200419
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