20241010
23111800
1.0
FALSE
CalculateField RYG67DJ LU_DES [LU_DES67] VB #
MultipartToSinglepart RYG67DJ C:\Users\User\OneDrive\Documents\ArcGIS\Default.gdb\RYG67DJ_MultipartToSinglepar
CalculateField LU_RYG_2567 Area_Sqm [Shape_Area] VB #
CalculateField LU_RYG_2567 Area_Rai [Shape_Area]/1600 VB #
ExportFeatures LU_RYG_2567 C:\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Landuse_athentic\gis-db.disaster.go.th.sde\DPMGISADMIN.LU_RYG_2567 # NOT_USE_ALIAS "LU_ID_L1 "LU_ID_L1" true true false 19 Double 0 0,First,#,LU_RYG_2567,LU_ID_L1,-1,-1;LU_ID_L2 "LU_ID_L2" true true false 19 Double 0 0,First,#,LU_RYG_2567,LU_ID_L2,-1,-1;LU_ID_L3 "LU_ID_L3" true true false 19 Double 0 0,First,#,LU_RYG_2567,LU_ID_L3,-1,-1;LU_CODE "LU_CODE" true true false 254 Text 0 0,First,#,LU_RYG_2567,LU_CODE,0,254;LU_DES_TH "LU_DES_TH" true true false 254 Text 0 0,First,#,LU_RYG_2567,LU_DES_TH,0,254;LU_DES_EN "LU_DES_EN" true true false 254 Text 0 0,First,#,LU_RYG_2567,LU_DES_EN,0,254;LUL1_CODE "LUL1_CODE" true true false 254 Text 0 0,First,#,LU_RYG_2567,LUL1_CODE,0,254;LUL2_CODE "LUL2_CODE" true true false 254 Text 0 0,First,#,LU_RYG_2567,LUL2_CODE,0,254;LU_DES "LU_DES" true true false 150 Text 0 0,First,#,LU_RYG_2567,LU_DES,0,150;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,LU_RYG_2567,Shape_Area,-1,-1;Area_Sqm "Area_Sqm" true true false 10 Long 0 10,First,#,LU_RYG_2567,Area_Sqm,-1,-1;Area_Rai "Area_Rai" true true false 10 Long 0 10,First,#,LU_RYG_2567,Area_Rai,-1,-1" #
DPMGISADMIN.LU_RYG_2567
002
Server=gis-db.disaster.go.th; Service=sde:sqlserver:gis-db.disaster.go.th; Database=DPMGISDB; User=DPMGISADMIN; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_UTM_Zone_47N
<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["WGS_1984_UTM_Zone_47N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",99.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",32647]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>32647</WKID><LatestWKID>32647</LatestWKID></ProjectedCoordinateSystem>
20250807
09433700
20250807
09433700
Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.1.0.41833
LU_RYG_2567
Enterprise Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
DPMGISADMIN.LU_RYG_2567
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.
LU_ID_L1
LU_ID_L1
Double
8
38
8
LU_ID_L2
LU_ID_L2
Double
8
38
8
LU_ID_L3
LU_ID_L3
Double
8
38
8
LU_CODE
LU_CODE
String
254
0
0
LU_DES_TH
LU_DES_TH
String
254
0
0
LU_DES_EN
LU_DES_EN
String
254
0
0
LUL1_CODE
LUL1_CODE
String
254
0
0
LUL2_CODE
LUL2_CODE
String
254
0
0
Area_Sqm
Area_Sqm
Integer
4
10
0
Area_Rai
Area_Rai
Integer
4
10
0
LU_DES
LU_DES
String
150
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20250807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