20230215
16543100
1.0
FALSE
IDR_P_PSDA_ABR_SNGR_210317_U89_33
002
file://\\HW10740F-NB\C$\Lavoro\Clienti\_PAC\AutoritàBacino\PRJ00610-ORC00_22_963-InstallazioneConfigurazione\DATI_ABDAC_GIANNI\PAI LAZIO 25833\AutoritaBacino_v1.0.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_33N
<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["ETRS_1989_UTM_Zone_33N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",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",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25833]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>25833</WKID><LatestWKID>25833</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures "C:\Lavoro\Clienti\_PAC\AutoritàBacino\PRJ00610-ORC00_22_963-InstallazioneConfigurazione\DATI_ABDAC_GIANNI\PAI LAZIO 25833\WEBGIS_ABDAC\ESRI_ABR_SNGR_ETRS89_33N\IDR_PSDA_ABR_SNGR\IDR_P_PSDA_ABR_SNGR_210317_U89-33.shp" "C:\Lavoro\Clienti\_PAC\AutoritàBacino\PRJ00610-ORC00_22_963-InstallazioneConfigurazione\DATI_ABDAC_GIANNI\PAI LAZIO 25833\AutoritaBacino_v1.0.gdb\BACINI_ABRUZZO_IDRAULICA\IDR_P_PSDA_ABR_SNGR_210317_U89_33" # # # #
20230215
16543100
20230215
16543100
Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 13.0.3.36057
PSDA _ Pericolosità Idraulica
PSDA _ Pericolosità Idraulica
PSDA _ Pericolosità Idraulica
File Geodatabase Feature Class
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
IDR_P_PSDA_ABR_SNGR_210317_U89_33
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.
PERICOLOSI
PERICOLOSI
String
2
0
0
LEGENDA
LEGENDA
String
150
0
0
AUTORITA
AUTORITA
String
150
0
0
PIANO
PIANO
String
250
0
0
area
area
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.
20230215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