20240625
14470800
1.0
FALSE
CalculateGeometryAttributes "Flower farm" "Area_ha AREA" # Hectares PROJCS["TM_Rwanda",GEOGCS["GCS_ITRF_2005",DATUM["D_ITRF_2005",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",5000000.0],PARAMETER["Central_Meridian",30.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Same as input"
ExportFeatures Flower C:\Users\jeandedieu.nshimiyim\Documents\NAEB_Data\NAEB_Geodabase\NAEB_Geodabase\Pyretrum.gdb\North_patchouli_growth\Identified_Land_1 # NOT_USE_ALIAS "SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0,First,#,Flower,SHAPE_Length,-1,-1;SHAPE_Area "SHAPE_Area" false true true 8 Double 0 0,First,#,Flower,SHAPE_Area,-1,-1;Name "Name" true true false 50 Text 0 0,First,#,Flower,Name,0,50;District "District" true true false 50 Text 0 0,First,#,Flower,District,0,50;Area_ha "Area_ha" true true false 8 Double 0 0,First,#,Flower,Area_ha,-1,-1" #
Rename C:\Users\jeandedieu.nshimiyim\Documents\NAEB_Data\NAEB_Geodabase\NAEB_Geodabase\Pyretrum.gdb\North_patchouli_growth\Identified_Land_1 C:\Users\jeandedieu.nshimiyim\Documents\NAEB_Data\NAEB_Geodabase\NAEB_Geodabase\Pyretrum.gdb\North_patchouli_growth\Identified_Land FeatureClass
Identified_Land_1
002
file://\\DESKTOP-2SL4QH1\C$\Users\jeandedieu.nshimiyim\Documents\NAEB_Data\NAEB_Geodabase\NAEB_Geodabase\Pyretrum.gdb
Local Area Network
Projected
GCS_ITRF_2005
Linear Unit: Meter (1.000000)
TM_Rwanda
<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["TM_Rwanda",GEOGCS["GCS_ITRF_2005",DATUM["D_ITRF_2005",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",5000000.0],PARAMETER["Central_Meridian",30.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]</WKT><XOrigin>-5122600</XOrigin><YOrigin>-5001100</YOrigin><XYScale>10000</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></ProjectedCoordinateSystem>
20241106
13553400
20241106
13553400
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.1.0.41833
Identified Land for Patchouli
Land
Patchouli
Identified Land for Patchouli
File Geodatabase Feature Class
dataset
0
Simple
FALSE
0
TRUE
FALSE
Identified_Land_1
Feature Class
0
OBJECTID
OBJECTID
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.
Name
Name
String
50
0
0
District
District
String
50
0
0
Area_ha
Area_ha
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20241106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