20251129
15265200
1.0
FALSE
CalculateField tambon_2559 TB_IDN [Code_Tambo] VB #
CalculateField tambon_2559 TB_TN [TAM_NAM_T] VB #
CalculateField tambon_2559 TB_EN [TAM_NAME] VB #
CalculateField tambon_2559 AP_IDN [AMPHOE_IDN] VB #
CalculateField tambon_2559 AP_TN [AMPHOE_T] VB #
CalculateField tambon_2559 AP_EN [AMPHOE_E] VB #
CalculateField tambon_2559 AP_EN [AMP_NAME] VB #
CalculateField tambon_2559 PV_IDN [PROV_CODE] VB #
CalculateField tambon_2559 PV_CODE [PROV_CODE] VB #
CalculateField tambon_2559 PV_TN [PROV_NAM_T] VB #
CalculateField tambon_2559 PV_EN [Province] VB #
CalculateField tambon_GISTDA_2559 Area_Rai [Area_m]/1600 VB #
CalculateField L05_Tambon_GISTDA_2559 Area_Rai [Area_m]/1600 VB #
CalculateField L05_Tambon_GISTDA_2559 Area_Rai [Area_m]/1600 VB #
JoinField L05_Tambon_ESRI_2559 TB_IDN F:\1_Disaster\3_drought\temp999\zonal.dbf Mean #
AddField L05_Tambon_ESRI_2559 CODE LONG # # # # NULLABLE NON_REQUIRED #
CalculateField L05_Tambon_ESRI_2559 CODE 0 VB #
CalculateField L05_Tambon_ESRI_2559 CODE 1 VB #
CalculateField L05_Tambon_ESRI_2559 TB_EN "Mae Hia" VB #
CalculateField L05_Tambon_ESRI_2559 TB_TN "ต.แม่เหี๊ยะ" VB #
Clip D:/Processing_fl/database/geo/L05_Tambon_ESRI_2559.shp D:/Processing_fl/output_fl/ErW_SC1_20251128_1101.shp D:\Processing_fl\output_fl\cl_SC1_20251128_1101.shp #
Dissolve D:/Processing_fl/output_fl/cl_SC1_20251128_1101.shp D:\Processing_fl\output_fl\dis_SC1_20251128_1101.shp TB_IDN;TB_TN;AP_IDN;AP_TN;PV_IDN;PV_TN;RE_ROYIN;RE_NESDB # MULTI_PART DISSOLVE_LINES
Project D:/Processing_fl/output_fl/dis_SC1_20251128_1101.shp D:\Processing_fl\output_fl\47n_SC1_20251128_1101.shp 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]] # GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
MultipartToSinglepart D:/Processing_fl/output_fl/47n_SC1_20251128_1101.shp D:\Processing_fl\output_fl\mulSC1_20251128_1101.shp
CopyFeatures D:/Processing_fl/output_fl/mulSC1_20251128_1101.shp D:\Processing_fl\output_fl\cal_SC1_20251128_1101.shp # 0 0 0
AddField D:\Processing_fl\output_fl\cal_SC1_20251128_1101.shp F_AREA DOUBLE # # # # NULLABLE NON_REQUIRED #
CalculateField D:\Processing_fl\output_fl\cal_SC1_20251128_1101.shp F_AREA !shape.area! PYTHON_9.3 #
CalculateAreas D:/Processing_fl/output_fl/mulSC1_20251128_1101.shp D:\Processing_fl\output_fl\cal_SC1_20251128_1101.shp
Select D:/Processing_fl/output_fl/cal_SC1_20251128_1101.shp D:\Processing_fl\output_fl\Sel_SC1_20251128_1101.shp "F_AREA > 10000"
Dissolve D:/Processing_fl/output_fl/Sel_SC1_20251128_1101.shp D:\Processing_fl\output_fl\dis2_SC1_20251128_1101.shp TB_IDN;TB_TN;AP_IDN;AP_TN;PV_IDN;PV_TN;RE_ROYIN;RE_NESDB # MULTI_PART DISSOLVE_LINES
CopyFeatures D:/Processing_fl/output_fl/dis2_SC1_20251128_1101.shp D:\Processing_fl\output_fl\cal2_SC1_20251128_1101.shp # 0 0 0
AddField D:\Processing_fl\output_fl\cal2_SC1_20251128_1101.shp F_AREA DOUBLE # # # # NULLABLE NON_REQUIRED #
CalculateField D:\Processing_fl\output_fl\cal2_SC1_20251128_1101.shp F_AREA !shape.area! PYTHON_9.3 #
CalculateAreas D:/Processing_fl/output_fl/dis2_SC1_20251128_1101.shp D:\Processing_fl\output_fl\cal2_SC1_20251128_1101.shp
AddField D:/Processing_fl/output_fl/cal2_SC1_20251128_1101.shp flood_area FLOAT # # # # NON_NULLABLE NON_REQUIRED #
AddField D:/Processing_fl/output_fl/cal2_SC1_20251128_1101.shp house FLOAT # # # # NON_NULLABLE NON_REQUIRED #
CalculateField D:/Processing_fl/output_fl/cal2_SC1_20251128_1101.shp flood_area !F_AREA!/1600 PYTHON_9.3 #
Project D:/Processing_fl/output_fl/cal2_SC1_20251128_1101.shp D:\Processing_fl\ok\SC1_20251128_1101.shp GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] # 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]] NO_PRESERVE_SHAPE # NO_VERTICAL
JoinField D:/Processing_fl/ok/SC1_20251128_1101.shp TB_IDN D:/Processing_fl/database/L05_Tambon_ESRI_2559_point.shp TB_IDN lat;long
cal2_SC1_20251128_1101
002
0.000
file://\\SASIPRAPA\D$\Processing_fl\output_fl\cal2_SC1_20251128_1101.shp
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<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/10.4'><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>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>32647</WKID><LatestWKID>32647</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_UTM_Zone_47N
20251129
15265200
20251129
15265200
Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686
SAO_20251128_1802
Shapefile
0.000
dataset
EPSG
6.11.1(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
cal2_SC1_20251128_1101
Feature Class
0
FID
FID
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.
TB_IDN
TB_IDN
Integer
10
10
0
TB_TN
TB_TN
String
50
0
0
AP_IDN
AP_IDN
Integer
10
10
0
AP_TN
AP_TN
String
50
0
0
PV_IDN
PV_IDN
Integer
10
10
0
PV_TN
PV_TN
String
50
0
0
RE_NESDB
RE_NESDB
String
50
0
0
RE_ROYIN
RE_ROYIN
String
50
0
0
20251129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