20200605
17160200
1.0
FALSE
RLDA_Public
002
-314391.039500
337120.659100
64496.110700
365710.700500
1
-
-
-
-
-
-
-
-
-
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_Virginia_Lambert
<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/10.3'><WKT>PROJCS["NAD_1983_Virginia_Lambert",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-79.5],PARAMETER["Standard_Parallel_1",37.0],PARAMETER["Standard_Parallel_2",39.5],PARAMETER["Latitude_Of_Origin",36.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3968]]</WKT><XOrigin>-37232800</XOrigin><YOrigin>-28884600</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>3968</WKID><LatestWKID>3968</LatestWKID></ProjectedCoordinateSystem>
20201022
15135900
20201022
15135900
FGDC CSDGM Metadata
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
RLDA_Public
1
-83.142843
-75.594092
39.295140
36.519251
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>VDOT Regulated Land Disturbance Activites dataset for public consumption. Updated weekly from the source system of record.</span>
VDOT
RLDA
MS4
Construction
VDOT Regulated Land Disturbance Activites dataset for public consumption. Updated weekly from the source system of record.
<span style='font-family: "Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size: 17px;'>Disclaimer: Any person, organization, firm, corporation or other entity using this database does so at its own risk. The Virginia Department of Transportation accepts no liability for any loss suffered by any person, organization, firm, corporation, or other entity from the use of the information in this database. In addition, the Virginia Department of Transportation does not guarantee system availability and is not responsible for any losses associated with any system unavailability. VDOT's digital data files are for use in performing the official business of the Commonwealth of Virginia. VDOT Divisions set all policy on the allowable uses of this data. The representations of VDOT business data contained within are believed to be correct. This data is provided without any guarantee of accuracy, timeliness or completeness. No business decisions should be made based on this data without first validating its accuracy against the official Source System of Record (SSR). Users of this data are solely responsible for determining if it is appropriate for their application. Please report errors and omissions directly to the appropriate VDOT Division data owner.</span>
File Geodatabase Feature Class
dataset
EPSG
8.6.2
0
Simple
FALSE
0
TRUE
FALSE
RLDA_Public
Feature Class
0
GlobalID
GlobalID
GlobalID
38
0
0
ProjectNum
Project Number
String
256
0
0
ProjectName
Project Name
String
256
0
0
UPC_Num
UPC Number
String
256
0
0
PermitStatus
Permit Status
String
256
0
0
SHAPE
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
20201022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=