20180814
15441200
1.0
FGDC CSDGM Metadata
FALSE
NoxiousWeed_WeedMapper
-13869295.357900
-12946041.387100
5159977.786700
5826944.306400
1
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/10.8'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</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>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20240307
13370600
20240307
13370600
150000000
5000
FGDC
NoxiousWeed_WeedMapper
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Provider_O
Organization
String
255
0
0
Provider_N
Contact
String
255
0
0
Provider_A
Address
String
255
0
0
Provider_E
Email
String
255
0
0
Provider_P
Phone
String
255
0
0
Date_Sub
Date Submitted
Date
8
0
0
OSWB_Grant
OSWB Grant #
String
255
0
0
Genus_Species
Genus & Species
String
255
0
0
Common_Name
Common Name
String
255
0
0
ODA_Class
ODA Classification
String
255
0
0
LAT
Latitude
Double
8
38
8
LONG
Longitude
Double
8
38
8
Date_Found
Date Found
Date
8
0
0
Site_Type
Site Type
String
255
0
0
Plant_Freq
Plant Frequency
String
255
0
0
Treatment
Initial Treatment Type
String
255
0
0
Treat_Date
Initial Treatment Date
Date
8
0
0
No_Plants
# of Plants
SmallInteger
2
5
0
Net_Acres
Net Acres
Double
8
38
8
Gross_Acres
Gross Acres
Double
8
38
8
Pct_Cover
Percent Cover
Double
8
38
8
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
SourceDataset
Source of Dataset
String
255
0
0
UID
Unique ID Code
String
255
0
0
Ownership
Ownership
String
255
0
0
The type of land ownership at the location of the noxious weed: BLM, USFS, other federal, state, county, city, private, other, unknown.
ArcGIS Metadata
1.0
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
WeedMapper 2017
2018-10-31T00:00:00
Oregon Department of Agriculture Noxious Weed Program
WeedMapper Administrator
503-986-4621
1
-124.590000
-116.296268
46.290000
41.993313
-2.115400
3073.677200
State-listed noxious weed distribution data gathered from multiple organizations in Oregon.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-size:12pt">State-listed noxious weed distribution data gathered from multiple organizations in Oregon.</SPAN></P></DIV></DIV></DIV>
ODA Noxious Weed Control Program, iMapinvasives.org
ODA
Agriculture
Oregon
Noxious
Weed
Invasive, plant
Oregon
Oregon Department of Agriculture
WeedMapper Administrator
503-986-4621
Oregon Department of Agriculture
Feature Class
503-986-4621
Oregon Department of Agriculture Noxious Weed Control Program
WeedMapper Administrator
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
TRUE
20240307
Data is not comprehensive - there are locations and noxious weeds in Oregon where data has not been collected and/or reported.
WeedMapper 2017
2018-11-01T00:00:00
Oregon Department of Agriculture Noxious Weed Program
WeedMapper Administrator
503-986-4621
Oregon Department of Agriculture Noxious Weed Program
Oregon Department of Agriculture Noxious Weed Program
WeedMapper Administrator
503-986-4621
Oregon Department of Agriculture Noxious Weed Program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