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European forest disturbance map

<p><strong>Description</strong></p> <p>This repository holds maps of annual forest disturbances across 35 European countries derived from Landsat satellite data. The disturbance maps currently cover the time period 1986-2020&nbsp;and are accompanied by a map&nbsp;of disturbance severity (for the moment only until 2016) and a forest mask. The methodological details are explained in Senf and Seidl 2021 (see reference blow). The maps are available per country as geoTIFF. The spatial reference system is&nbsp;EPSG&nbsp;3035 (ETRS89&nbsp;/ LAEA Europe). The most current version is 1.1.2. The maps will be updated regularly. <a href="https://corneliussenf.users.earthengine.app/view/european-disturbance-map">The maps can also be explored online</a>.</p> <p><strong>Citation</strong></p> <p>Please cite the dataset including version number and following paper when using the maps: Senf, C. and Seidl, R. (2021)&nbsp;Mapping the forest disturbance regimes of Europe. <em>Nature Sustainability.</em>&nbsp;<a href="https://www.nature.com/articles/s41893-020-00609-y">https://www.nature.com/articles/s41893-020-00609-y</a></p> <p><strong>Version history</strong></p> <ul> <li>1.0.0 - Initial version, covering 2016-1986 and including a forest mask and an estimate of disturbance severity.</li> <li>1.1.0 - Map update until 2020 using same methods as in version 1.0.0. Not accompanied by disturbance severity.</li> <li>1.1.1 - Added disturbance maps for Andorra, Liechtenstein and Luxembourg.</li> <li>1.1.2&nbsp;- Added&nbsp;disturbance severity to version.</li> <li>1.1.3&nbsp;- Improved file structure for easier download.</li> <li>1.1.4&nbsp;- Fixed wrong/missing forest masks.</li> </ul> <p><strong>Known issues</strong></p> <ul> <li>Some SLC-off artefacts visible in northern Serbia (both version 1.0.0 and 1.1.0).</li> <li>Known false disturbances mapped in Norway in 2020 in version 1.1.0.</li> <li>Missing disturbances from 1986 in Andorra and&nbsp;Liechtenstein. (version 1.1.1).</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4