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Service Description: With the size of the study area measured at approximately 36.56 square miles, a cost-effective and accurate strategy for assessing the urban forest is the use of remotely sensed and semi-automated classification methods to inventory the current canopy cover and to analyze data for future planting goals.
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Description: With the size of the study area measured at approximately 36.56 square miles, a cost-effective and accurate strategy for assessing the urban forest is the use of remotely sensed and semi-automated classification methods to inventory the current canopy cover and to analyze data for future planting goals.
Service Item Id: f6fcee982ec040a29bae2c630f37622e
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Spatial Reference:
32616
(32616)
Single Fused Map Cache: false
Initial Extent:
XMin: 235188.32682040735
YMin: 3867613.5541937426
XMax: 246128.17967959278
YMax: 3876300.468006257
Spatial Reference: 32616
(32616)
Full Extent:
XMin: 233185.18460000027
YMin: 3867582.7249
XMax: 248131.32189999986
YMax: 3876331.2972999997
Spatial Reference: 32616
(32616)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: C:\Users\bmitchell\AppData\Local\Temp\6\ArcGISProTemp13636\fa0b8726-9a31-4d6f-abab-f1dc770aa5e0\Untitled.aprx
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Keywords: City,of,Olive,Branch,Mississippi,DeSoto,County,Urban,tree,canopy,(UTC),Tree,Canopy,Pervious,surface,Open,water,Impervious,surface,Land,cover,City,Boundary
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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