20240812
14133700
1.0
FALSE
150000000
5000
ConstructionArea
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.2.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
ISO19115_3
20240812
14085600
20240812
14085600
North American Profile of ISO19115 2003
An area that has been approved for development of new Buildings, Structures, Parcels, Roads, Railways and other features
Construction Area
Functional Areas
Esri ArcGIS 13.2.2.49743
Feature Compilation Rule Link: https://rb.gy/fg01h8
Stereo-imagery, Orthoimagery
Accuracy - Height: Not Applicable
Accuracy - Planimetric +/- 0.25m (Urban) +/- 0.45m (Semi-urban) +/- 1.25m (Rural) +/- 2.25m (Remote)
Accuracy - Altimetric: Not applicable
Minimum Size Criterion:
Length: Not applicable
Area: Construction Areas can occur in Urban, Semi-urban, Rural and Remote regions of the UAE. Minimum areas for inclusion are:
49 sqm (Urban) with a minimum width of 7m
196 sqm (Semi-urban) with a minimum width of 14m
1225 sqm (Rural) with a minimum width of 35m
4900 sqm (Remote) with a minimum width of 70m
Separation: 1m in Urban and Semi-urban regions; 4m in Rural and Remote regions
20240812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File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
ConstructionArea
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.
FCode
Feature Code
String
9
0
0
Custodian
Custodian
Integer
4
0
0
SourceEntity
Source Entity
Integer
4
0
0
SourceFormat
Source Format
Integer
4
0
0
SourceDate
Source Date
Date
8
0
0
SourceFCName
Source Feature Class Name
String
40
0
0
SourceObjectID
Source Object ID
String
30
0
0
SourceGlobalID
Source Global ID
GUID
38
0
0
SourceFID
Source FID
String
20
0
0
SourceGeometry
Source Geometry
Integer
4
0
0
SourceGeometryDate
Source Geometry Date
Date
8
0
0
PlanimetricAccuracy
Planimetric Accuracy
Double
8
0
0
AltimetricAccuracy
Altimetric Accuracy
Double
8
0
0
DateCreated
Date Created
Date
8
0
0
DateModified
Date Modified
Date
8
0
0
CreatedBy
Created By
String
20
0
0
ModifiedBy
Modified By
String
20
0
0
Notes
Notes
String
255
0
0
NameArabic
Name in Arabic
String
60
0
0
NameEnglish
Name in English
String
60
0
0
ConstructionAreaType
Construction Area Type
Integer
4
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.