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Service Description: This dataset is a snapshot of the asset inventory conducted by Mandli Communications in 2017. It was collected in the summer of 2017 via LiDAR and Photolog imagery. It is not maintained and more current data may be available.For more information please see the Data Assessment Form. For questions on the data please contact Adrian Sellars at asellars@utah.gov.
To download this data please visit UDOT's Open Data Site
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Description: This dataset is a snapshot of the asset inventory conducted by Mandli Communications in 2017. It was collected in the summer of 2017 via LiDAR and Photolog imagery. It is not maintained and more current data may be available.
For more information please see the Data Assessment Form. For questions on the data please contact Paige Sidwell at psidwell@utah.gov.
To download this data please visit UDOT's Open Data Site
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Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
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YMin: 4500072.207234597
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Spatial Reference: 102100
(3857)
Full Extent:
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XMax: -1.21384959155E7
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Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Asset Data 2017
Author:
Comments: <DIV STYLE="text-align:Left;"><P><SPAN>This dataset is a snapshot of the asset inventory conducted by Mandli Communications in 2017. It was collected in the summer of 2017 via LiDAR and Photolog imagery. It is not maintained and more current data may be available.</SPAN></P><P><SPAN /></P><P><SPAN>For more information please see the Data Assessment Form. For questions on the data please contact Paige Sidwell at psidwell@utah.gov.</SPAN></P><P><SPAN>To download this data please visit UDOT's Open Data Site</SPAN></P></DIV>
Subject: This is the archived 2017 Mandli asset delivery.
Category:
Keywords: Data,Mandli,asset,2017,barriers,bike lanes,billboard assemblies,billboard faces,intersections,lanes,medians,pavement messages,pavement striping,rumblestrip,rumble strips,shoulders,sign assemblies,sign faces,surface area
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Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
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Max Scale: 0
Supports Datum Transformation: true
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