{ "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>" }