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Tree cover loss - Cities and FUAs

<p style="text-align: justify;">This dataset provides sub-national indicators on forest cover loss in FUAs and Cities.</p>

<h3>Data sources and methodology</h3>

<div class="text-gray-500 px-6"> Tree cover loss is estimated using Hansen Global Forest Change v1.11 dataset, which provides global forest extent and change from 2000 to 2023 at 30m resolution based on Landsat satellite images. Tree cover loss is defined as a stand-replacement disturbance (a change from a forest to non-forest state). GHSL is used as it provides harmonised, globally consistent coverage at very fine spatial resolution (30 m), enabling the production of comparable subnational indicators on tree cover loss. </div>

<p style="text-align: justify;">These estimates may differ from official subnational deforestation statistics due to differences in methodologies, such as top down remote-sensing based estimation versus bottom up data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify forest cover change.</p>

<h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>

<h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p>

<h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>