20180627
13083000
1.0
FGDC CSDGM Metadata
FALSE
CreateMosaicDataset \\stgisdataprd001.file.core.windows.net\gisprd1gisdata\svcFgdb\megis\orthoMunicipal.gdb orthoMunicipalHoulton2004 "PROJCS['NAD_1983_StatePlane_Maine_East_FIPS_1801',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',300000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-68.5],PARAMETER['Scale_Factor',0.9999],PARAMETER['Latitude_Of_Origin',43.66666666666666],UNIT['Meter',1.0]],VERTCS['NAVD_1988',VDATUM['North_American_Vertical_Datum_1988'],PARAMETER['Vertical_Shift',0.0],PARAMETER['Direction',1.0],UNIT['Meter',1.0]];-5322600 -14837400 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" 3 8_BIT_UNSIGNED NATURAL_COLOR_RGB "Red 630 690;Green 530 570;Blue 440 510"
AddRastersToMosaicDataset \\stgisdataprd001.file.core.windows.net\gisprd1gisdata\svcFgdb\megis\orthoMunicipal.gdb\orthoMunicipalHoulton2004 "Raster Dataset" \\oit-teaqfstier2.emc.state.me.us\gisdata\megis\ras\houlton_04\tiles UPDATE_CELL_SIZES UPDATE_BOUNDARY UPDATE_OVERVIEWS # 0 1500 "PROJCS['NAD_1983_StatePlane_Maine_East_FIPS_1801',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',300000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-68.5],PARAMETER['Scale_Factor',0.9999],PARAMETER['Latitude_Of_Origin',43.66666666666666],UNIT['Meter',1.0]];-5322600 -14837400 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # SUBFOLDERS ALLOW_DUPLICATES BUILD_PYRAMIDS CALCULATE_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS #
AnalyzeMosaicDataset \\stgisdataprd001.file.core.windows.net\gisprd1gisdata\svcFgdb\megis\orthoMunicipal.gdb\orthoMunicipalHoulton2004 # FOOTPRINT;FUNCTION;RASTER;PATHS
BuildPyramidsandStatistics \\stgisdataprd001.file.core.windows.net\gisprd1gisdata\svcFgdb\megis\orthoMunicipal.gdb\orthoMunicipalHoulton2004 # BUILD_PYRAMIDS CALCULATE_STATISTICS BUILD_ON_SOURCE # # 1 1 # -1 NONE Bilinear "LZ77 Compression" 75 OVERWRITE #
orthoMunicipalHoulton2004
file://\\stgisdataprd001.file.core.windows.net\gisprd1gisdata\svcFgdb\megis\orthoMunicipal.gdb
Local Area Network
345713.981979
355810.481979
269807.981483
280408.931483
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_StatePlane_Maine_East_FIPS_1801
<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/10.6'><WKT>PROJCS["NAD_1983_StatePlane_Maine_East_FIPS_1801",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",300000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-68.5],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",43.66666666666666],UNIT["Meter",1.0]],VERTCS["NAVD_1988",VDATUM["North_American_Vertical_Datum_1988"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0]]</WKT><XOrigin>-5322600</XOrigin><YOrigin>-14837400</YOrigin><XYScale>450310428.58990461</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>26983</WKID><LatestWKID>26983</LatestWKID><VCSWKID>5703</VCSWKID><LatestVCSWKID>5703</LatestVCSWKID></ProjectedCoordinateSystem>
8
FALSE
None
3
AMD
TRUE
continuous
unsigned integer
4100
15000
1000
20
2048
20
87
0.01
10
600
300
Basic
1
NorthWest,Center,ByAttribute,Nadir,Viewpoint,None
LZ77,None,JPEG,LERC
Basic
None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D
-1
-1
0.8
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None,Basic,Full
NaturalColor
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area,Date,DateInt
3644.99999999985
0.149999999999987
72.899999999997
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area,Date,DateInt
MinPS,MaxPS,LowPS,HighPS,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area,Date,DateInt
-1
1
1
0
0
0
0
-1
Date
Date
YYYY-MM-DD
0
2
Days
MinPS
20190807
08303600
20190807
08303600
150000000
5000
FGDC
James W. Sewall Company
Old Town
Maine
James W. Sewall Company
20190807
external
163605bbcfdc2918d752b2b8edf62e5d
Maine Office of Geographic Information Systems
GIS Coordinator
State House Station #145
Augusta
Maine
04333
OIT.Customer-Support@maine.gov
USA
207-624-7700
9 am to 5 pm EST
Monday through Friday
Maine Office of Geographic Information Systems
True
Maine Office of Geographic Information Systems
Maine Orthoimagery Municipal Houlton 2004
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This is a leaf-off spring orthoimagery collection for Houlton from 2004. Pixel size is 0.5 ft. Flight Scales: 1??? = 660??? and 1??? = 1200??? Date of Photography: 5/8/2004 Camera: Serial Number: 144126, Focal Length: 153.330mm Control Accuracies: 1??? = 100??? and 1??? = 200??? Mapping Accuracies: 1??? = 100??? and 1??? = 200??? Flight Accuracies: 1??? = 200???</SPAN></P></DIV></DIV></DIV>
orthoMunicipalHoulton2004
James W. Sewall Company
Old Town
Maine
James W. Sewall Company
False
James W. Sewall Company
imageryBaseMapsEarthCover
ortho
orthoimagery
orthophotography
GeoLibrary
Maine
MaineGeoLibrary
MaineGIS
municipal
Houlton
2004
1
-67.908809
-67.778227
46.093252
46.187886
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9273
1
-67.908809
-67.777000
46.188628
46.092502
Maine GeoLibrary
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Access: Public Use: User assumes risk.</SPAN></P></DIV></DIV></DIV>
EPSG
6.16(3.0.1)
2
1
0
345713.981979 269807.981483
345713.981979 280408.931483
355810.481979 280408.931483
355810.481979 269807.981483
350762.231979 275108.456483
67310
0.150000
70673
0.150000
Red
248.000000
0.000000
8
Green
255.000000
0.000000
8
Blue
252.000000
0.000000
8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