20180321
13495000
1.0
FALSE
Rivers
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_15N
<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/3.1.0'><WKT>PROJCS["NAD_1983_UTM_Zone_15N",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["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-93.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26915]],VERTCS["NAD_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0],AUTHORITY["Esri",115702]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</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><WKID>26915</WKID><LatestWKID>26915</LatestWKID><VCSWKID>115702</VCSWKID><LatestVCSWKID>115702</LatestVCSWKID></ProjectedCoordinateSystem>
20231017
12441700
20231017
12441700
Esri ArcGIS 13.1.3.41833
Rivers
File Geodatabase Feature Class
dataset
EPSG
6.11(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Rivers
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
FW_ID
FW_ID
Integer
4
0
0
LKSDB_BASIN_ID
LKSDB_BASIN_ID
Integer
4
0
0
DOWLKNUM
DOWLKNUM
String
8
0
0
PW_BASIN_NAME
PW_BASIN_NAME
String
100
0
0
PW_PARENT_NAME
PW_PARENT_NAME
String
100
0
0
PW_SUB_NAME
PW_SUB_NAME
String
100
0
0
SUB_FLAG
SUB_FLAG
String
1
0
0
WB_CLASS
WB_CLASS
String
20
0
0
LAKE_CLASS
LAKE_CLASS
SmallInteger
2
0
0
ACRES
ACRES
Double
8
0
0
SHORE_MI
SHORE_MI
Double
8
0
0
CENTER_UTM_X
CENTER_UTM_X
Double
8
0
0
CENTER_UTM_Y
CENTER_UTM_Y
Double
8
0
0
CTY_NAME
CTY_NAME
String
20
0
0
DNR_REGION
DNR_REGION
SmallInteger
2
0
0
FSH_OFFICE
FSH_OFFICE
String
20
0
0
OUTSIDE_MN
OUTSIDE_MN
String
1
0
0
DELINEATED_BY
DELINEATED_BY
String
8
0
0
DELINEATION_DATE
DELINEATION_DATE
Date
8
0
0
DELINEATION_SRC
DELINEATION_SRC
String
20
0
0
DELINEATION_NOTES
DELINEATION_NOTES
String
254
0
0
APPROVED_BY
APPROVED_BY
String
8
0
0
APPROVAL_DATE
APPROVAL_DATE
Date
8
0
0
has_flag
HAS_FLAG
String
1
0
0
flag_type
FLAG_TYPE
String
50
0
0
publish_date
PUBLISH_DATE
Date
8
0
0
APPROVAL_NOTES
APPROVAL_NOTES
String
254
0
0
has_wld_flag
HAS_WLD_FLAG
String
1
0
0
wld_flag_type
WLD_FLAG_TYPE
String
50
0
0
unique_id
unique_id
Integer
4
0
0
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
255
0
0
last_edited_date
last_edited_date
Date
8
0
0
ow_use
ow_use
String
1
0
0
pwi_class
pwi_class
String
1
0
0
map_display
map_display
String
1
0
0
map_label
map_label
String
100
0
0
unique_guid
unique_guid
GUID
38
0
0
INSIDE_X
INSIDE_X
Double
8
0
0
INSIDE_Y
INSIDE_Y
Double
8
0
0
in_lakefinder
in_lakefinder
String
1
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20231017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