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13595100
SBB_Simplify
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0.000
65254.685900
974963.131600
612975.167900
1094764.477800
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Projected
GCS_North_American_1983
Yukon Albers
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Linear Unit: Meter (1.000000)
1.0
ESRI ArcCatalog 9.3.1.3000
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REQUIRED: A brief narrative summary of the data set.
REQUIRED: A summary of the intentions with which the data set was developed.
REQUIRED: The name of an organization or individual that developed the data set.
REQUIRED: The date when the data set is published or otherwise made available for release.
Aerial_Survey_Data
Aerial_Survey_Data
vector digital data
withheld
REQUIRED: The basis on which the time period of content information is determined.
REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.
REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.
-141.918333
-122.192423
65.548201
59.709329
62231.415000
979806.454900
611151.728900
1229842.597900
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
REQUIRED: Common-use word or phrase used to describe the subject of the data set.
REQUIRED: Restrictions and legal prerequisites for accessing the data set.
REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.
File Geodatabase Feature Class
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SBB_Simplify
62231.415
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-141.918333
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-141.446930
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REQUIRED: A brief narrative summary of the data set.REQUIRED: A summary of the intentions with which the data set was developed.002
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
REQUIRED: The person responsible for the metadata information.
REQUIRED: The organization responsible for the metadata information.
REQUIRED: The mailing and/or physical address for the organization or individual.
REQUIRED: The city of the address.
REQUIRED: The state or province of the address.
REQUIRED: The ZIP or other postal code of the address.
REQUIRED: The telephone number by which individuals can speak to the organization or individual.
20110106
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
12.463
12.463
002
withheld
Local Area Network
12.463
File Geodatabase Feature Class
Shapefile
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Vector
Simple
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GCS_North_American_1983
Yukon Albers
coordinate pair
meters
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0.000100
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Yukon Albers
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SBB_Simplify
Feature Class
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FID
FID
OID
4
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0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
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Feature geometry.
ESRI
Coordinates defining the features.
MAP
MAP
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0
HECTARES
HECTARES
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0
YEAR
YEAR
Integer
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FHF
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FHF_long
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Shape_Le_1
Shape_Le_1
Double
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0
0
Shape_Area
Shape_Area
Double
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0
Area of feature in internal units squared.
ESRI
Positive real numbers that are automatically generated.
InPoly_FID
InPoly_FID
Integer
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10
0
MaxSimpTol
MaxSimpTol
Double
19
0
0
MinSimpTol
MinSimpTol
Double
19
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0
20250422
Dataset copied.
withheld
20091120
10064800
Dataset copied.
withheld
20100126
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