20230912
12094300
1.0
FALSE
CreateFeatureclass "X:\Vertex\REQUESTS\MAPS\2023\PROJECTS\NWS River Impact Data Project\NWS River Impact Data Project.gdb" staffgaugelocationdetails_XYTableToPoint Point 'staff gauge location details.csv' No No "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 #
XYTableToPoint "staff gauge location details.csv" "X:\Vertex\REQUESTS\MAPS\2023\PROJECTS\NWS River Impact Data Project\NWS River Impact Data Project.gdb\staffgaugelocationdetails_XYTableToPoint" Longitude Latitude # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision"
FeatureClassToFeatureClass "Staff Gauge Location Details" "X:\Vertex\REQUESTS\MAPS\2023\PROJECTS\NWS River Impact Data Project\esri-sql.sde\GIS_Prod_Data.GISOWNER.Emergency_Preparedness" StaffStreamGaugeLocations # "Stop__ "Stop #" true true false 4 Long 0 0,First,#,Staff Gauge Location Details,Stop__,-1,-1;Gauge__ "Gauge #" true true false 4 Long 0 0,First,#,Staff Gauge Location Details,Gauge__,-1,-1;Stream_Gauge_Description "Stream Gauge Description" true true false 8000 Text 0 0,First,#,Staff Gauge Location Details,Stream_Gauge_Description,0,8000;Location "Location" true true false 8000 Text 0 0,First,#,Staff Gauge Location Details,Location,0,8000;Latitude "Latitude" true true false 8 Double 0 0,First,#,Staff Gauge Location Details,Latitude,-1,-1;Longitude "Longitude" true true false 8 Double 0 0,First,#,Staff Gauge Location Details,Longitude,-1,-1;Note1 "Note1" true true false 8000 Text 0 0,First,#,Staff Gauge Location Details,Note1,0,8000;Note2 "Note2" true true false 8000 Text 0 0,First,#,Staff Gauge Location Details,Note2,0,8000" #
FeatureClassToFeatureClass GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations "X:\Vertex\REQUESTS\MAPS\2023\PROJECTS\NWS River Impact Data Project\atlas-sql.sde\atlassde.GISOWNER.Emergency_Preparedness" StaffStreamGaugeLocations # "Stop__ "Stop #" true true false 4 Long 0 10,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Stop__,-1,-1;Gauge__ "Gauge #" true true false 4 Long 0 10,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Gauge__,-1,-1;Stream_Gauge_Description "Stream Gauge Description" true true false 1073741822 Text 0 0,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Stream_Gauge_Description,0,1073741822;Location "Location" true true false 1073741822 Text 0 0,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Location,0,1073741822;Latitude "Latitude" true true false 8 Double 8 38,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Latitude,-1,-1;Longitude "Longitude" true true false 8 Double 8 38,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Longitude,-1,-1;Note1 "Note1" true true false 1073741822 Text 0 0,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Note1,0,1073741822;Note2 "Note2" true true false 1073741822 Text 0 0,First,#,GIS_Prod_Data.GISOWNER.StaffStreamGaugeLocations,Note2,0,1073741822" #
ExportFeatures atlassde.GISOWNER.StaffStreamGaugeLocations X:\Vertex\PROJECTS\PORTAL\EXTERNAL_maps\mapssde(GISOWNER).sde\GISOWNER.Emergency_Preparedness\GISOWNER.STPGOV_Staff_Stream_Gauge_Locations # NOT_USE_ALIAS "Stop__ "Stop #" true true false 4 Long 0 10,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Stop__,-1,-1;Gauge__ "Gauge #" true true false 4 Long 0 10,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Gauge__,-1,-1;Stream_Gauge_Description "Stream Gauge Description" true true false 1073741822 Text 0 0,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Stream_Gauge_Description,0,1073741821;Location "Location" true true false 1073741822 Text 0 0,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Location,0,1073741821;Latitude "Latitude" true true false 8 Double 8 38,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Latitude,-1,-1;Longitude "Longitude" true true false 8 Double 8 38,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Longitude,-1,-1;Note1 "Note1" true true false 1073741822 Text 0 0,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Note1,0,1073741821;Note2 "Note2" true true false 1073741822 Text 0 0,First,#,atlassde.GISOWNER.StaffStreamGaugeLocations,Note2,0,1073741821" #
GISOWNER.STPGOV_Staff_Stream_Gauge_Locations
002
Server=MAPS-SQL; Service=sde:sqlserver:MAPS-SQL; Database=mapssde; User=GISOWNER; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/3.3.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20250627
08444500
20250627
10274400
150000000
5000
ItemDescription
Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.3.0.52636
STPGOV Staff Stream Gauge Locations
St. Tammany Parish Staff Stream Gauge Locations
<div style='text-align:Left;'><div><div><p style='text-align:Center;'><span style='font-weight:bold;font-size:16pt'>STPGOV STAFF STREAM GAUGE LOCATIONS</span></p><p style='text-align:Center;'><span>Staff Stream Gauges in St. Tammany Parish. Provided by PW Engineering Sara Sharp.</span></p></div></div></div>
©2025 St. Tammany Parish Government - Department of Engineering - Capital
©2025 St. Tammany Parish Government - GIS Division of the Department of Technology
Last Updated: 09/13/2023
Stream
Gauge
Staff
engineering
<div style='text-align:Left;'><div><p style='text-align:Center;'><span style='font-weight:bold;font-size:8pt'>For planning purposes only. It is not a legally recorded plan, survey, official tax map or engineering schematic, and it is not intended to be used as such.</span></p><p style='text-align:Center;'><span style='font-size:8pt'>©2025 St. Tammany Parish Government - GIS Division of the Department of Technology</span></p></div></div>
Enterprise Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
GISOWNER.STPGOV_Staff_Stream_Gauge_Locations
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Stop__
Stop #
Integer
4
10
0
Gauge__
Gauge #
Integer
4
10
0
Stream_Gauge_Description
Stream Gauge Description
String
1073741822
0
0
Location
Location
String
1073741822
0
0
Latitude
Latitude
Double
8
38
8
Longitude
Longitude
Double
8
38
8
Note1
Note1
String
1073741822
0
0
Note2
Note2
String
1073741822
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
20250627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