20240822
10172600
1.0
FALSE
Lielupe_apsaimn_APB_uzSA
002
file://\\ANETE2021\C$\Users\Anete\Documents\DARBAM\23LK31 Lielupes palienes DAP\APRX\Lielupes_palienes_plavas_darbamAT\Lielupes_palienes_plavas_darbamAT.gdb
Local Area Network
Projected
GCS_LKS_1992
Linear Unit: Meter (1.000000)
LKS_1992_Latvia_TM
<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/3.0.0'><WKT>PROJCS["LKS_1992_Latvia_TM",GEOGCS["GCS_LKS_1992",DATUM["D_Latvia_1992",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",-6000000.0],PARAMETER["Central_Meridian",24.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3059]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-15998100</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><WKID>3059</WKID><LatestWKID>3059</LatestWKID></ProjectedCoordinateSystem>
ExportFeatures Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi "C:\Users\Anete\Documents\DARBAM\23LK31 Lielupes palienes DAP\APRX\Lielupes_palienes_plavas_darbamAT\Lielupes_palienes_plavas_darbamAT.gdb\Lielupe_apsaimn_APB_uzSA" # NOT_USE_ALIAS "veids "Veids" true true false 255 Text 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,veids,0,255;piezimes "Piezimes" true true false 255 Text 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,piezimes,0,255;apsaimn_sg "apsaimniekosana" true true false 255 Text 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,apsaimn_sg,0,255;plus_apsai_sg "plus_apsaimn" true true false 255 Text 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,plus_apsai_sg,0,255;polygon_number "POLYGON_NUMBER" true true false 50 Text 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,polygon_number,0,50;code_ec "CODE_EC" true true false 10 Text 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,code_ec,0,10;variant_ec "VARIANT_EC" true true false 1 Text 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,variant_ec,0,1;globalid "globalid" false false true 38 GlobalID 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,globalid,-1,-1;SHAPE__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,SHAPE__Length,-1,-1;SHAPE__Area "SHAPE__Area" false true true 0 Double 0 0,First,#,Hosted\Lielupes_DAP_apsaimniekosana_SG\apsaimniekosanas_pasakumi,SHAPE__Area,-1,-1" #
20240905
13571400
20240905
13571400
Esri ArcGIS 13.3.0.52636
Lielupe_apsaimn_APB_uzSA
23LK31
lielupe
File Geodatabase Feature Class
dataset
EPSG
6.7(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Lielupe_apsaimn_APB_uzSA
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.
veids
Veids
String
255
0
0
piezimes
Piezimes
String
255
0
0
apsaimn_sg
apsaimniekosana
String
255
0
0
plus_apsai_sg
plus_apsaimn
String
255
0
0
polygon_number
POLYGON_NUMBER
String
50
0
0
code_ec
CODE_EC
String
10
0
0
variant_ec
VARIANT_EC
String
1
0
0
globalid
globalid
GlobalID
38
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.
20240905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