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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
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
accessInformation: Lynker Analytics
thumbnail:
maxScale: 5000
typeKeywords: []
description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The dataset has two classes each covering a different type of impervious, the class is identified in the 'Source' attribute. 'Confidence 85' is a conservative set of impervious features including: roads, footpaths, driveways, buildings, bridges, carparks and other concreted areas.</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>'Confidence 5' is a more liberal class which includes industrial yards, cracked concrete and hardpacked gravels.</SPAN></P></DIV></DIV></DIV>
licenseInfo:
catalogPath:
title: Impervious Surface Layer 2015
type:
url:
tags: ["WDC","Impervious Surface","Stormwater Catchment Management"]
culture: en-US
name:
guid:
minScale: 150000000
spatialReference: