{ "culture": "en-US", "name": "", "guid": "", "catalogPath": "", "snippet": "This machine learning dataset predicts the extent of the waterbodies identified within Northland Region.", "description": "

  • Wetlands were mapped using a combination of LiDAR (2018) and RGBI (2014-2016) imagery captured by Northland and Auckland Councils. Waterbodies were validated using a combination of Photoblique and GIS desktop techniques. <\/SPAN><\/P><\/LI>

  • Slope, Spectral signatures, Topographic wetness index and vegetation structure were were inputs into the machine learning model. <\/SPAN><\/P><\/LI>

  • Information is current to the datasets available. <\/SPAN><\/P><\/LI>

  • The spatial extents can be used as a guide for where a waterbody exists<\/SPAN><\/P><\/LI>

  • Data was derived using a combination of machine learning model training and manual output validation. <\/SPAN><\/P><\/LI>

  • Elevation data has been attached for data overlay in Photoblique. <\/SPAN><\/P><\/LI>

  • Data is presented using a polygon approach for ease of display.<\/SPAN><\/P><\/LI><\/UL>

    Data Limitations: <\/SPAN><\/P>

    • Data may be subject to some false positive and/or false negative results. <\/SPAN><\/P><\/LI>

    • The spatial extents can be used as a guide for where waterbodies exist <\/SPAN><\/P><\/LI>

    • Scale is created to a 1m resolution <\/SPAN><\/P><\/LI>

    • Data is a representation of the capture date of the imagery and LiDAR <\/SPAN><\/P><\/LI><\/UL><\/DIV><\/DIV><\/DIV>", "summary": "This machine learning dataset predicts the extent of the waterbodies identified within Northland Region.", "title": "Biospatial_PondPolygones_Nrth20240401TEMP", "tags": [ "Waterbodies", "Northland", "Wetlands", "Machine learning" ], "type": "", "typeKeywords": [], "thumbnail": "", "url": "", "minScale": 150000000, "maxScale": 5000, "spatialReference": "", "accessInformation": "Biospatial Limited \nPhotoblique Limited\u202f \nAuckland Council \nNorthland Regional Council", "licenseInfo": "

      Northland Regional Council and Biospatial Limited maintain ownership of the dataset. <\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "portalUrl": "" }