<p>A high resolution <a href="https://maps.london.gov.uk/canopy-cover/" target="_blank">map</a> of tree canopy cover for Greater London was produced from aerial imagery using machine learning techniques. The map was produced by <a href="http://www.breadboardlabs.io/" target="_blank">Breadboard Labs</a> in collaboration with the Greater London Authority as part of a Breadboard Lab’s European Space Agency funded project, <a href="https://www.curio.xyz/canopy" target="_blank"> <strong>Curio Canopy</strong> </a>. </p>
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<p>The algorithms and machine learning based techniques used to produce the canopy map were developed using <a href="https://earthengine.google.com/" target="_blank">Google Earth Engine</a> which was also leveraged to perform the processing needed to create a pan-London high resolution (25 cm per pixel) tree canopy data. Full details of the methodology are documented <a href="https://data.london.gov.uk/download/curio-canopy/3ceac73c-f79f-4f26-ac42-590b78eb2a35/curio-%20tree-canopy-cover-methodology-report-nov-2018.pdf" target="_blank">here</a>.</p>
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<p>Final canopy layers have been made available to download below in a geospatial format (<a href="https://en.wikipedia.org/wiki/Keyhole_Markup_Language" target="_blank">KML</a>).</p>
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<p>The pan-London high resolution canopy layer has also been aggregated to: hexagon grid, Lower Super Output Area (LSOA), Ward (2014) and London Borough geographies.</p>
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