{8147387B-EA78-414D-8C8C-35DA007B2E49}
20071217
09493400
FALSE
20240409
13351800
20240409
13351800
FeatureClassToFeatureClass "C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp" "Database Connections\gisadmin on sde_Production.sde\sde_Production.GISADMIN.Stormwater" LakesNew # "AREA 'AREA' true true false 19 Double 3 18 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,AREA,-1,-1;PERIMETER 'PERIMETER' true true false 19 Double 3 18 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,PERIMETER,-1,-1;LAKE_ 'LAKE_' true true false 9 Long 0 9 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,LAKE_,-1,-1;LAKE_ID 'LAKE_ID' true true false 9 Long 0 9 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,LAKE_ID,-1,-1;FEATURE 'FEATURE' true true false 25 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,FEATURE,-1,-1;FEATURE_ID 'FEATURE_ID' true true false 15 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,FEATURE_ID,-1,-1;FEATURE_TY 'FEATURE_TY' true true false 25 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,FEATURE_TY,-1,-1;STATE_FIPS 'STATE_FIPS' true true false 2 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,STATE_FIPS,-1,-1;COUNTY_FIP 'COUNTY_FIP' true true false 7 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,COUNTY_FIP,-1,-1;HUC 'HUC' true true false 8 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,HUC,-1,-1;NAME 'NAME' true true false 32 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,NAME,-1,-1;CLASS 'CLASS' true true false 10 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,CLASS,-1,-1;SOURCE 'SOURCE' true true false 32 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,SOURCE,-1,-1;EDITOR 'EDITOR' true true false 32 Text 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,EDITOR,-1,-1;SOURCE_DAT 'SOURCE_DAT' true true false 8 Date 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,SOURCE_DAT,-1,-1;FEAT_MOD_D 'FEAT_MOD_D' true true false 8 Date 0 0 ,First,#,C:\Documents and Settings\bkastor\Desktop\DataFromAdam\lakes.shp,FEAT_MOD_D,-1,-1" # "Database Connections\gisadmin on sde_Production.sde\sde_Production.GISADMIN.Stormwater\sde_Production.GISADMIN.LakesNew"
CopyFeatures C:\Users\gisadmin\Documents\ArcGIS\Projects\MyProject\gisadmin_on_sde_Production.sde\sde_Production.GISADMIN.Stormwater\sde_Production.GISADMIN.Lakes "Y:\GIS Department\ArcGISDatabaseTesting\TransferDatabase.gdb\Lakes" # # # #
CopyFeatures "Y:\GIS Department\ArcGISDatabaseTesting\TransferDatabase.gdb\Lakes" C:\Users\gisadmin\Documents\ArcGIS\Projects\MyProject\NEW_gisadmin_sde_Data.sde\DBO.Stormwater\DBO.Lakes # # # #
DBO.Lakes
002
2037630.817500
2195609.100000
1166410.366250
1277898.801250
1
Server=coweta-gis-db; Service=sde:sqlserver:coweta-gis-db; Database=sde_Data; User=gisadmin; Version=dbo.DEFAULT
ArcSDE Connection
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Georgia_West_FIPS_1002_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/3.2.0'><WKT>PROJCS["NAD_1983_StatePlane_Georgia_West_FIPS_1002_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",2296583.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.16666666666667],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",30.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2240]]</WKT><XOrigin>-16150100</XOrigin><YOrigin>-43703500</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>102667</WKID><LatestWKID>2240</LatestWKID></ProjectedCoordinateSystem>
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770
en
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.
sde_Production.GISADMIN.LakesNew
sde_Production.GISADMIN.LakesNew
vector digital data
Server=ZADOK; Service=5155; Database=sde_Production; User=gisadmin; Version=sde.DEFAULT
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.
-85.020360
-84.489783
33.516324
33.197958
684510.721475
733173.561459
3676020.855836
3710295.738294
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.
SDE Feature Class
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 20348) ; Esri ArcGIS 13.2.2.49743
Lakes
684510.721475
733173.561459
3710295.738294
3676020.855836
1
-85.02036
-84.489783
33.516324
33.197958
1
1
-85.016244
-84.496800
33.512668
33.203813
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.
20080810
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
1.312
1.312
002
Server=ZADOK; Service=5155; Database=sde_Production; User=gisadmin; Version=sde.DEFAULT
ArcSDE Connection
1.312
SDE Feature Class
Enterprise Geodatabase Feature Class
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_Georgia_West_FIPS_1002_Feet
coordinate pair
survey feet
0.000625
0.000625
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
1.000000
NAD_1983_StatePlane_Georgia_West_FIPS_1002_Feet
EPSG
5.3(9.0.0)
0
DBO.Lakes
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
sde_Production_GISADMIN_Lakes_A
sde_Production.GISADMIN.Lakes.AREA
Double
8
38
8
Shape
Shape
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
PERIMETER
PERIMETER
Double
8
38
8
LAKE_
LAKE_
Integer
4
10
0
LAKE_ID
LAKE_ID
Integer
4
10
0
FEATURE
FEATURE
String
25
0
0
FEATURE_ID
FEATURE_ID
String
15
0
0
FEATURE_TY
FEATURE_TY
String
25
0
0
STATE_FIPS
STATE_FIPS
String
2
0
0
COUNTY_FIP
COUNTY_FIP
String
7
0
0
HUC
HUC
String
8
0
0
NAME
NAME
String
32
0
0
CLASS
CLASS
String
10
0
0
SOURCE
SOURCE
String
32
0
0
EDITOR
EDITOR
String
32
0
0
SOURCE_DAT
SOURCE_DAT
Date
8
0
0
FEAT_MOD_D
FEAT_MOD_D
Date
8
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
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20240409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