{
 "culture": "en-AU",
 "name": "Impervious_Surface_Layer_2015",
 "guid": "DF780C71-56C5-49DA-84DC-8A9644F38BE2",
 "catalogPath": "",
 "snippet": "GIS Data to aid WDC's Stormwater Catchment Management Strategy. Created by Lynker Analytics using machine learning. The surface was derived from the Northland 0.1m Urban Aerial Photos (2014 - 2015): https://data.linz.govt.nz/layer/3399",
 "description": "<DIV STYLE=\"text-align:Left;font-size:12pt\"><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>GIS Data to aid WDC's Stormwater Catchment Management Strategy. Created by Lynker Analytics using machine learning. The surface was derived from the Northland 0.1m Urban Aerial Photos (2014 - 2015): <\/SPAN><\/SPAN><A href=\"https://data.linz.govt.nz/layer/3399\" STYLE=\"text-decoration:underline;\"><SPAN><SPAN>https://data.linz.govt.nz/layer/3399<\/SPAN><\/SPAN><\/A><\/P><\/DIV>",
 "summary": "GIS Data to aid WDC's Stormwater Catchment Management Strategy. Created by Lynker Analytics using machine learning. The surface was derived from the Northland 0.1m Urban Aerial Photos (2014 - 2015): https://data.linz.govt.nz/layer/3399",
 "title": "Impervious Surface Layer 2015",
 "tags": [
  "WDC",
  "Impervious Surface",
  "Stormwater Catchment Management"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "ArcGIS",
  "ArcGIS Server",
  "Data",
  "Map Service",
  "Service"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
  [
   174.008892784901,
   -36.0734167946864
  ],
  [
   174.579604361366,
   -35.3360974887615
  ]
 ],
 "minScale": 0,
 "maxScale": 1.7976931348623157E308,
 "spatialReference": "NZGD_2000_New_Zealand_Transverse_Mercator",
 "accessInformation": "Lynker Analytics",
 "licenseInfo": "<DIV STYLE=\"text-align:Left;font-size:12pt\"><P STYLE=\"margin:8 0 16 0;\"><SPAN><SPAN>This estimated impervious (paved, roofs and concrete etc) has been derived from 2014/2015 Northland Aerial Survey. <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:8 0 16 0;\"><SPAN><SPAN>It includes an impervious surface data layer across Northland urban areas from 0.10m urban aerial photos captured in 2014-2015 using machine learning.  <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:8 0 16 0;\"><SPAN><SPAN>The image data used in the modelling comprises 6,550 ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:500 tile layout.<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:8 0 16 0;\"><SPAN><SPAN>It may not accurately represent current surface coverage of impervious area as these will change over time.<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:8 0 0 0;\"><SPAN>It can be used to inform planning and catchment assessments as appropriate.<\/SPAN><\/P><\/DIV>"
}