20260630
12294100
1.0
FALSE
CreateMosaicDataset C:/arcgisserver/resources/imageServices/imagery.gdb s_moscow_2022 PROJCS["NAD83_Idaho_West_ftUS",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["Transverse_Mercator"],PARAMETER["False_Easting",2624666.66666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-115.75],PARAMETER["Scale_Factor",0.99993333],PARAMETER["Latitude_Of_Origin",41.6666666666667],UNIT["Foot_US",0.3048006096012192]] 4 # NATURAL_COLOR_RGBI "Red 630 690;Green 530 570;Blue 440 510;Infrared 770 830"
AddRastersToMosaicDataset C:/arcgisserver/resources/imageServices/imagery.gdb/s_moscow_2022 "Raster Dataset" //nknportal.rocket.net/publishedpre/d681d6cc-d46b-4f12-abdd-ef97c7ec8a8f UPDATE_CELL_SIZES UPDATE_BOUNDARY NO_OVERVIEWS # 0 1500 # *.tif SUBFOLDERS EXCLUDE_DUPLICATES NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # NO_PIXEL_CACHE C:\Users\bgodfrey\AppData\Local\Temp\3\ArcGISProTemp28724\s_moscow_2022
CopyMultiple "C:\arcgisserver\resources\imageServices\imagery.gdb\s_moscow_2022 MosaicDataset" \\nknportal.rocket.net\arcgisserver\resources\imageServices\imagery.gdb s_moscow_2022 "s_moscow_2022 MosaicDataset s_moscow_2022 #"
s_moscow_2022
file://\\nknportal.rocket.net\arcgisserver\resources\imageServices\imagery.gdb
Local Area Network
2299650.000000
2326650.000000
1834600.000000
1861600.000000
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD83_Idaho_West_ftUS
<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/3.4.0'><WKT>PROJCS["NAD83_Idaho_West_ftUS",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["Transverse_Mercator"],PARAMETER["False_Easting",2624666.66666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-115.75],PARAMETER["Scale_Factor",0.99993333],PARAMETER["Latitude_Of_Origin",41.6666666666667],UNIT["Foot_US",0.3048006096012192]]</WKT><XOrigin>-15822600</XOrigin><YOrigin>-47951700</YOrigin><XYScale>137250677.77723414</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
8
FALSE
None
4
AMD
TRUE
continuous
unsigned integer
20000
25000
1000
30000
1000000
20
80
0.01
0
600
300
BASIC
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
JPEG,NONE,LZ77,LERC
None
None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D
0
0
0.8
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None,Basic,Full
NaturalColorRGBI
0
<_docversion_ Sync="TRUE">10
Name,AcqYearFirst,AcqYearLast,Resolution,ProDef,DatasetID,Rectification,Constraints,Source,AcqDateFirst,AcqDateLastDownloadURL,AcqYearFirst,AcqYearLast,Resolution,ProDef,DatasetID,Rectification,Constraints,Source,AcqDateFirst,AcqDateLast,DownloadURL
0.25
2
12800
-1
-1
1
0
Processed
806919
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area,AcqYearFirst,AcqYearLast,Resolution,ProDef,DatasetID,Rectification,Constraints,Source,AcqDateFirst,AcqDateLast,DownloadURL
AcqYearFirst,AcqYearLast,Resolution,ProDef,DatasetID,Rectification,Constraints,Source,AcqDateFirst,AcqYearFirst,AcqYearLast,Resolution,ProDef,DatasetID,Rectification,Constraints,Source,AcqDateFirst,AcqDateLast
1
0
0
0
20260630
10342800
20260630
10562800
150000000
5000
ISO19139
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.4.4.55405
moscow_2022
2026-06-30T00:00:00
1
-117.046977
-116.937632
46.767328
46.692142
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This collections contains 81 2022 7.62-centimeter color digital orthorectified images of the City of Moscow, Idaho. These data were acquired on April 24, 2022. This geospatial dataset was created for the City of Moscow, Idaho as a seamless 3-inch pixel resolution orthorectified aerial imagery covering approximately 21 square miles of the city and environs. A Large-format DMC Digital Camera System equipped with ABGPS/IMU was used to collect the project area on April 24th, with a 60 percent forward / 30 percent side overlap. Native projection is Idaho West State Plane, NAD83(2011), NAVD88 with units in US Survey Feet. The orthophotography content was processed as 32-bit RGBI (4Band).</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
This collections contains 81 2022 7.62-centimeter color digital orthorectified images of the City of Moscow, Idaho. These data were acquired on April 24, 2022 by Access Geographic, LLC. This dataset was created as a geospatial visualization and planning tool for the City of Moscow, Idaho.
air photo
aerial photography
aerial photo
orthoimagery
ortho imagery
orthophotography
imagery
orthorectified imagery
2022
City of Moscow; Access Geographic, LLC.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Public data. However, users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of these data as described in the lineage or elsewhere.</SPAN></P></DIV></DIV></DIV>
Bruce Godfrey
University of Idaho
GIS Librarian
bgodfrey@uidaho.edu
2
1
0
2299650.000000 1834600.000000
2299650.000000 1861600.000000
2326650.000000 1861600.000000
2326650.000000 1834600.000000
2313150.000000 1848100.000000
108000
0.250000
108000
0.250000
Red
252.000000
6.000000
8
Green
247.000000
9.000000
8
Blue
243.000000
8.000000
8
Infrared
240.000000
10.000000
8
20260630
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
Bruce Godfrey
University of Idaho
GIS Librarian
bgodfrey@uidaho.edu