{
 "culture": "en-US",
 "name": "StreamHealth",
 "guid": "6390C9B7-B28E-4293-9227-E4ED4229FEDA",
 "catalogPath": "",
 "snippet": "Predicted stream and riparian health in the Kansas City region, created with 1) field-sampled stream data and 2) regional environmental, land use, and other data. Variables were developed and tested to find a valid regression model that could predict stream quality. A valid model was used to determine variables to predict stream quality throughout Greater Kansas City. The model uses percent tree cover within 1,000 ft. of stream segments, street density, and facilities that discharge to water by small watershed to predict stream/riparian health. This information may be used to prioritize streams for management, protection, and remediation strategies. ",
 "description": "",
 "summary": "Predicted stream and riparian health in the Kansas City region, created with 1) field-sampled stream data and 2) regional environmental, land use, and other data. Variables were developed and tested to find a valid regression model that could predict stream quality. A valid model was used to determine variables to predict stream quality throughout Greater Kansas City. The model uses percent tree cover within 1,000 ft. of stream segments, street density, and facilities that discharge to water by small watershed to predict stream/riparian health. This information may be used to prioritize streams for management, protection, and remediation strategies. ",
 "title": "StreamHealth",
 "tags": [
  "ecology",
  "green infrastructure"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "ArcGIS",
  "ArcGIS Server",
  "Data",
  "Map Service",
  "Service"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
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 ],
 "minScale": 0,
 "maxScale": 1.7976931348623157E308,
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere",
 "accessInformation": "",
 "licenseInfo": "",
 "portalUrl": ""
}