20230926
11012100
FALSE
1.0
ISO 19139 Metadata Implementation Specification
StormInlets_1
002
2795157.158941
2823745.179849
1104137.388944
1139186.375932
1
-
Projected
GCS_North_American_1983
NAD_1983_StatePlane_Missouri_West_FIPS_2403_Feet
<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_StatePlane_Missouri_West_FIPS_2403_Feet",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",2788708.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-94.5],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",36.16666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["Esri",102698]]</WKT><XOrigin>-15658800</XOrigin><YOrigin>-45949000</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102698</WKID><LatestWKID>102698</LatestWKID></ProjectedCoordinateSystem>
Linear Unit: Foot_US (0.304801)
20240130
11481600
20240130
11481600
ISO19139
Stormwater inlets typically found along the side or roads or in drainage swales.
ESRI Data Models
NaN
NaN
NaN
NaN
OBJECTID
OBJECTID
Integer
4
0
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
OBJECTID_1
OBJECTID_1
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.
ACCESSDIAM
ACCESSDIAM
Double
8
0
0
Access diameter for the inlet
ACCESSTYPE
ACCESSTYPE
String
20
0
0
Method for accessing the opening
INSTALLDAT
INSTALLDAT
Date
8
0
0
ACTIVEFLAG
ACTIVEFLAG
Integer
4
0
0
Indicates if the feature is in use/active
ENABLED
ENABLED
Integer
4
0
0
Enabled
FACILITYID
FACILITYID
String
20
0
0
Locally assigned Facility Identifier
INLETTYPE
INLETTYPE
String
50
0
0
The type of stormwater inlet
INVERTELEV
INVERTELEV
Integer
4
0
0
Invert elevation
LASTEDITOR
LASTEDITOR
String
50
0
0
The user who performed the last update
LASTUPDATE
LASTUPDATE
Date
8
0
0
The date the feature was last updated in the maintenance database
MAINTBY
MAINTBY
Integer
4
0
0
Indicates which organization maintains the asset
OWNEDBY
OWNEDBY
Integer
4
0
0
Indicates which organization owns the asset
KEY_
KEY_
Integer
4
0
0
CODE
CODE
String
8
0
0
SOURCE
SOURCE
String
100
0
0
GPSDATE
GPSDATE
Date
8
0
0
DIMENSION
DIMENSION
String
16
0
0
TOPELEV
TOPELEV
Double
8
0
0
DEPTH
DEPTH
Double
8
0
0
NUMBER_IN
NUMBER_IN
Integer
4
0
0
ORIG_KEY
ORIG_KEY
Integer
4
0
0
FAKETOPELE
FAKETOPELE
Double
8
0
0
THROAT_CON
THROAT_CON
String
20
0
0
THROAT_TYP
THROAT_TYP
String
20
0
0
MH_COVER
MH_COVER
String
20
0
0
GRATE_CON
GRATE_CON
String
20
0
0
PROJECT
PROJECT
String
50
0
0
TOPSLAB_MA
TOPSLAB_MA
String
20
0
0
TOPSLAB_CO
TOPSLAB_CO
String
20
0
0
FL1_IN
FL1_IN
Double
8
0
0
PROJECT_NU
PROJECT_NU
String
10
0
0
FL1_OUT
FL1_OUT
Double
8
0
0
FL2_IN
FL2_IN
Double
8
0
0
FL3_IN
FL3_IN
Double
8
0
0
INLET_CON
INLET_CON
String
100
0
0
DATE_MARK
DATE_MARK
Date
8
0
0
StormInlets_1
Feature Class
0
X_Coord
X_Coord
Integer
4
0
0
Y_Coord
Y_Coord
Integer
4
0
0
GlobalID
GlobalID
String
38
0
0
UpdateType
UpdateType
String
25
0
0
Esri ArcGIS 13.1.3.41833
StormInlets_1
002
-94.477244
-94.376197
39.295240
39.198945
1
File Geodatabase Feature Class
dataset
Esri
8.0.1
Simple
FALSE
0
TRUE
FALSE
0
20240130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==