{ "name": "Tupelo_City_Limits", "licenseInfo": "
As determined by the city of Tupelo, Mississippi<\/span><\/p><\/div><\/div><\/div>",
"title": "Tupelo_City_Limits",
"url": "",
"tags": [
"City",
"of",
"Tupelo",
"Mississippi",
"Lee",
"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": [
[
-88.8019616423368,
34.2026305579559
],
[
-88.6484793153482,
34.3256192239591
]
],
"accessInformation": "",
"spatialReference": "WGS_1984_UTM_Zone_16N",
"minScale": 0,
"guid": "13039AE4-846F-416D-9589-893133D7EB7F",
"type": "Map Service",
"thumbnail": "thumbnail/thumbnail.png",
"description": " With the size of the study area measured at approximately 51.46 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>"
}