{
 "name": "Olive_Branch_City_Limits",
 "licenseInfo": "<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>As determined by the city of Olive Branch, Mississippi<\/span><\/p><\/div><\/div><\/div>",
 "title": "Olive_Branch_City_Limits",
 "url": "",
 "tags": [
  "City",
  "of",
  "Olive",
  "Branch",
  "Mississippi",
  "DeSoto",
  "County",
  "Urban",
  "tree",
  "canopy",
  "(UTC)",
  "Tree",
  "Canopy",
  "Pervious",
  "surface",
  "Open",
  "water",
  "Impervious",
  "surface",
  "Land",
  "cover",
  "City",
  "Boundary"
 ],
 "maxScale": 1.7976931348623157E308,
 "summary": "The purpose of this project was to conduct a top down canopy assessment approach. Utilizing the 2019 hyperspectral imagery and advance remote sensing...",
 "snippet": "The purpose of this project was to conduct a top down canopy assessment approach. Utilizing the 2019 hyperspectral imagery and advance remote sensing...",
 "culture": "en-US",
 "catalogPath": "",
 "typeKeywords": [
  "Data",
  "Service",
  "Map Service",
  "ArcGIS Server"
 ],
 "extent": [
  [
   -89.9233093638096,
   34.9156456257262
  ],
  [
   -89.7570859525544,
   34.9982649951264
  ]
 ],
 "accessInformation": "",
 "spatialReference": "WGS_1984_UTM_Zone_16N",
 "minScale": 0,
 "guid": "3644F465-237E-4D4C-A5DA-9AAD365F8E91",
 "type": "Map Service",
 "thumbnail": "thumbnail/thumbnail.png",
 "description": "<div style='text-align:Left;'><div><div><p><span>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.<\/span><\/p><\/div><\/div><\/div>"
}