20200226
09315200
1.0
FGDC CSDGM Metadata Abridged2
FALSE
Ortho_SoCo_Pictometry_2008_WM
Local Area Network
-13751887.544695
-13619712.993724
4593937.577055
4701900.997907
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/10.7'><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>148923141.92838538</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>
32
FALSE
Mixed
1
Cache/Mixed
TRUE
continuous
unsigned integer
20210604
09114700
20210604
09114700
500000
5000
FGDC
CASONO08_Ortho_Tiles
Feature Class
384
FID
FID
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.
ImageName
ImageName
String
44
0
0
ImagePath
ImagePath
String
255
0
0
ImageExt
ImageExt
String
3
0
0
ShotLevel
ShotLevel
String
1
0
0
ShotType
ShotType
String
2
0
0
ShotOrient
ShotOrient
String
2
0
0
ShotDate
ShotDate
String
20
0
0
GSD
GSD
Single
8
0
0
ImageRows
ImageRows
Integer
8
8
0
ImageCols
ImageCols
Integer
8
8
0
ULx
ULx
Double
16
0
0
ULy
ULy
Double
16
0
0
URx
URx
Double
16
0
0
URy
URy
Double
16
0
0
LRx
LRx
Double
16
0
0
LRy
LRy
Double
16
0
0
LLx
LLx
Double
16
0
0
LLy
LLy
Double
16
0
0
Flags
Flags
Integer
8
8
0
CameraLat
CameraLat
Double
16
0
0
CameraLon
CameraLon
Double
16
0
0
Bearing
Bearing
Double
16
0
0
Roll
Roll
Double
16
0
0
Declin
Declin
Double
16
0
0
Alt
Alt
Double
16
0
0
Elevation
Elevation
Double
16
0
0
FPx
FPx
Double
16
0
0
FPy
FPy
Double
16
0
0
FocalLen
FocalLen
Double
16
0
0
K1
K1
Double
16
0
0
K2
K2
Double
16
0
0
K3
K3
Double
16
0
0
PPx
PPx
Double
16
0
0
PPy
PPy
Double
16
0
0
Camera
Camera
String
16
0
0
CameraX
CameraX
Double
16
0
0
CameraY
CameraY
Double
16
0
0
Omega
Omega
Double
16
0
0
Phi
Phi
Double
16
0
0
Kappa
Kappa
Double
16
0
0
BalancedFL
BalancedFL
Double
16
0
0
BalancedK0
BalancedK0
Double
16
0
0
BalancedK1
BalancedK1
Double
16
0
0
BalancedK2
BalancedK2
Double
16
0
0
BalancedK3
BalancedK3
Double
16
0
0
Project
Project
String
36
0
0
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
Ortho_SoCo_Pictometry_2008_WM
2008-11-06T00:00:00
2009-01-16T00:00:00
1
-123.535308
-122.347963
38.861843
38.102654
The dataset was created to serve as a 1:2400 scale map.
<div style='text-align:Left;'><div><div><p><span>The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International during the period of November 6, 2008 thru January 16, 2009. Automatic aerial triangulation (AAT) was performed, culminating in a single block adjustment of 3718 source frames. The AAT process was supported by 21 ground control points surveyed by US Surveyors Inc. Portions of this image's triangulated frames were orthorectified to a LiDAR derived DEM created from the Spring 2009 LiDAR capture. Mosaicing was performed using an automatic seaming algorithm and supplemented by manual editing to correct seams through elevated features where possible. A global radiometric correction was applied to the source frames to minimize the appearance of radiometric seams.</span></p></div></div></div>
Digital Orthophotography
<div style='text-align:Left;'><div><div><p><span>Use of this data is constrained by the license agreement between Pictometry International Corp and County of Sonoma, California.</span></p></div></div></div>
County of Sonoma, Pictometry International Corp.
Raster Dataset
dataset
EPSG
8.8(9.3.1.2)
2
1
0
-13751887.544695 4593937.577055
-13751887.544695 4701900.997907
-13619712.993724 4701900.997907
-13619712.993724 4593937.577055
-13685800.269209 4647919.287481
442674
0.298582
361587
0.298582
Band_1
32
False
False
False
False
False
20210604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