20150303
14074900
FALSE
20210723
09513300
20210723
09513300
ELE_CONTOUR_SXN_12
6266360.602637
6288970.868577
1759235.947469
1840524.806566
1
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_II_FIPS_0402_Feet
<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/10.7'><WKT>PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",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",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2226]]</WKT><XOrigin>-115211799.99997364</XOrigin><YOrigin>-93821499.999993995</YOrigin><XYScale>100632.36629137149</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>7.9497285961027266e-05</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102642</WKID><LatestWKID>2226</LatestWKID></ProjectedCoordinateSystem>
1.0
FGDC CSDGM Metadata
500000
50000
Geospatial elevation data are utilized by the scientific and resource management communities for global change research, hydrologic modeling, resource monitoring, mapping, and visualization applications. The full USGS DEM contours for Sonoma County were sectioned into 14 separate tiles. This was done to reduce the resources required to render them by limited them to specific areas. This feature class is one of those tiles.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. These 40 foot contours for Sonoma County were derived from the above.</SPAN></P></DIV></DIV></DIV>
Contours
Land Surface
40 Foot
12 Meter
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None. Acknowledgement of the originating agencies would be appreciated in products derived from these data.</SPAN></P></DIV></DIV></DIV>
County of Sonoma GIS Central, USGS NED.
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
ELE_CONTOUR_SXN_12
1
-123.027736
-122.946108
38.212203
37.988338
ELE_CONTOUR_SXN_12
Feature Class
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
ID
ID
Double
8
38
8
Internal record number.
ESRI
METERS
METERS
Double
8
Contour Elevation in Meters
38
8
County of Sonoma GIS Central
FEET
FEET
SmallInteger
2
Contour Elevation in Feet
5
0
County of Sonoma GIS Central
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
INDEX_
INDEX_
String
2
0
0
Y
Index Contour elevation values ending in 00
N
Intermediate Contours 40'
S
Supplemental Contours 10'
Positive real numbers that are automatically generated.
Type of Contour
ESRI
SHAPE.STLength()
SHAPE.STLength()
Double
0
0
0
Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
20210723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