20191010
14571000
1.0
FALSE
GISOWNER.Coastal_Flood_Areas
002
3624093.987915
3852988.636435
602755.807292
702931.921875
1
0.012
Server=MAPS-SQL; Service=sde:sqlserver:MAPS-SQL; Database=mapssde; User=GISOWNER; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Louisiana_South_FIPS_1702_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/3.3.0'><WKT>PROJCS["NAD_1983_StatePlane_Louisiana_South_FIPS_1702_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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",3280833.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-91.33333333333333],PARAMETER["Standard_Parallel_1",29.3],PARAMETER["Standard_Parallel_2",30.7],PARAMETER["Latitude_Of_Origin",28.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3452]]</WKT><XOrigin>-124791100</XOrigin><YOrigin>-91255500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102682</WKID><LatestWKID>3452</LatestWKID></ProjectedCoordinateSystem>
FeatureClassToFeatureClass coastal_flood_area X:\Vertex\PROJECTS\_GISOWNER\GISOWNER\esri-sql.sde\GIS_Prod_Data.GISOWNER.Planning coastal_flood_area # "Id "Id" true true false 6 Long 0 6,First,#,coastal_flood_area,Id,-1,-1;Date "Date" true true false 50 Text 0 0,First,#,coastal_flood_area,Date,0,50" #
FeatureClassToFeatureClass "ESRI-SQL\PLANNING\Coastal Flood Areas" X:\Vertex\PROJECTS\_GISOWNER\GISOWNER\atlas-sql.sde\atlassde.GISOWNER.Engineering Coastal_Flood_Areas # "Id "Id" true true false 4 Long 0 10,First,#,ESRI-SQL\PLANNING\Coastal Flood Areas,Id,-1,-1;Date "Date" true true false 50 Text 0 0,First,#,ESRI-SQL\PLANNING\Coastal Flood Areas,Date,0,50" #
ExportFeatures "Coastal Flood Areas" X:\Vertex\PROJECTS\PORTAL\EXTERNAL_maps\SQLServer-MAPS-SQL-mapssde(GISOWNER).sde\GISOWNER.Planning\GISOWNER.Coastal_Flood_Areas # NOT_USE_ALIAS "Id "Id" true true false 4 Long 0 10,First,#,Coastal Flood Areas,Id,-1,-1;Date "Date" true true false 50 Text 0 0,First,#,Coastal Flood Areas,Date,0,49" #
20250424
15105200
20250425
13362400
150000000
5000
ItemDescription
Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.3.0.52636
Coastal Flood Areas
This layer represents coastal flood areas data in St. Tammany Parish. Those areas that are determined by the Department of Engineering to be subject to flooding only because of tidal inundation. It is updated by the Parish Planning & Development staff. It is to be used for general planning purposes.
<div style='text-align:Left;'><div><div><p style='text-align:Center;'><span style='font-weight:bold;font-size:16pt'>COASTAL FLOOD AREAS</span></p><p style='text-align:Center;'><a href='https://library.municode.com/la/st._tammany_parish/codes/code_of_ordinances?nodeId=PTIILADECO_CH115DRFLCO_ARTIIFLHAAR_DIV3PRFLHARE_S115-109COHIZAAR' style='text-decoration:underline;'><span>Section 115-3 (b)(13)(d)</span></a></p><p style='text-align:Center;'><span>Coastal areas, which are those areas that are determined by the Department of Engineering to be subject to flooding only because of tidal inundation, not including the area of Lakeview Drive and Carr Drive being governed by the provisions of this section. </span></p></div></div></div>
©2025 St. Tammany Parish Government - Development Division of the Department of Engineering (developmenteng@stpgov.org)
©2025 St. Tammany Parish Government - GIS Division of the Department of Technology
Coastal Flood Areas
Coastal Areas
1
-90.247209
-89.518029
30.428425
30.145034
<div style='text-align:Left;'><div><div><p style='text-align:Center;'><span style='font-weight:bold;font-size:9pt'>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:9pt'>©2025 St. Tammany Parish Government - GIS Division of the Department of Technology</span></p></div></div></div>
Enterprise Geodatabase Feature Class
0.012
dataset
0
Simple
FALSE
0
TRUE
FALSE
GISOWNER.Coastal_Flood_Areas
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Id
Id
Integer
4
10
0
Date
Date
String
50
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20250425
EPSG
8.9.3(10.0.0)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