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<idPurp>This dataset provides 10m resolution mapping of the probability of bracken presence in Scotland in 2024. It was commissioned by the Scottish Government as part of the Scottish Bracken Map publication in order to monitor the environmental and landscape impacts of bracken and help to quantify efforts to control it.</idPurp>
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<keyword>Bracken</keyword>
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<suppInfo>https://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdf</suppInfo>
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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The &lt;/SPAN&gt;&lt;A href="https://experience.arcgis.com/experience/613d2abdcd964aefbdcb7784e0f122df" target="_blank" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Scottish Bracken Map&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;SPAN&gt;provide&lt;/SPAN&gt;&lt;SPAN&gt;s&lt;/SPAN&gt;&lt;SPAN&gt; a baseline for monitoring the distribution of bracken (Pteridium aquilinum) &lt;/SPAN&gt;&lt;SPAN&gt;at 10 metre resolution across Scotland. It was commissioned by the Scottish Government &lt;/SPAN&gt;&lt;SPAN&gt;following the &lt;/SPAN&gt;&lt;SPAN&gt;ban on usage of &lt;/SPAN&gt;&lt;SPAN&gt;the herbicide Asulam&lt;/SPAN&gt;&lt;SPAN&gt;,&lt;/SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;SPAN&gt;and supported &lt;/SPAN&gt;&lt;SPAN&gt;by the &lt;/SPAN&gt;&lt;A href="https://www.gov.scot/groups/bracken-scottish-working-group/" target="_blank" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Scottish Bracken Working Group&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; as part of their aim to address key evidence gaps relating to the extent and management of bracken in Scotland.&lt;/SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;SPAN&gt;The dataset is intended to support monitoring, land management, environmental assessment and future updates of national bracken extent.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The dataset is supplied as two related outputs:&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Bracken Classification&lt;/SPAN&gt;&lt;SPAN&gt;: a binary map identifying areas predicted to contain bracken vegetation.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN STYLE="font-weight:bold;"&gt;Bracken Probability&lt;/SPAN&gt;&lt;SPAN&gt;: a continuous raster showing the modelled probability (0-100%) of bracken presence for each 10 m pixel, allowing users to apply alternative thresholds according to their requirements.&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN&gt;The Bracken Map was &lt;/SPAN&gt;&lt;SPAN&gt;derived using Earth Observation and machine learning techniques applied to 2024 satellite and environmental data.&lt;/SPAN&gt;&lt;SPAN&gt; The model was based on summer and autumn composites of &lt;/SPAN&gt;&lt;SPAN&gt;Sentinel-1 radar imagery&lt;/SPAN&gt;&lt;SPAN&gt; and&lt;/SPAN&gt;&lt;SPAN&gt; Sentinel-2 optical imagery&lt;/SPAN&gt;&lt;SPAN&gt; (NDVI maximum composites)&lt;/SPAN&gt;&lt;SPAN&gt;, elevation and canopy height data, and training data from field surveys and habitat mapping sources.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The final classification achieved an overall accuracy of approximately 85%&lt;/SPAN&gt;&lt;SPAN&gt; (88% recall and 79% precision)&lt;/SPAN&gt;&lt;SPAN&gt; and identified around 208,000 hectares of bracken across Scotland.&lt;/SPAN&gt;&lt;SPAN&gt; A full methodology can be found in the accompanying technical &lt;/SPAN&gt;&lt;SPAN&gt;documentation:&lt;/SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;A href="https://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdf" target="_blank" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Creation of a Scottish Bracken Map&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
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<pubDate>2010-12-08T00:00:00</pubDate>
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<statement>The Scottish Bracken Map was created using a a multi-sensor, satellite-driven Earth Observation (EO) workflow using a Random Forest machine learning model. It was developed by Environment Systems on behalf of the Scottish Government, with additional support from NatureScot. It is intended that this dataset will be updated on a 2-yearly basis, however, this is dependent on resource.
Satellite remote sensing dataset inputs were temporal composites of 2024 Sentinel-1 radar and Sentinel-2 optical imagery (NDVI maximum composites), alongside Aerial Photography of Great Britain (APGB) elevation models. These were pre-processed to produce analysis-ready inputs, including monthly Sentinel-1 composites, seasonal Sentinel-2 NDVI composites, and derived terrain and canopy height layers. Training samples representing bracken and non-bracken land cover classes were compiled from the following reference datasets:
• Southern Uplands Habitat Survey - including polygons where bracken coverage was 70% or greater;
• Scottish Government Land Parcel Identification System (LPIS) data – polygons that had been assessed as 100% ineligible (to be classified as land to receive agricultural subsidy) through a technical assessment. These were used in conjunction with Aerial Photography Interpretation (API);
• Living England ground observations – using data from Northern England where habitats are ecologically comparable to Scotland;
• Scottish Habitat and Land Cover Map (SHLCM, 2022) – assessing habitats against aerial imagery to discern bracken within a range of SHLCM classes.
All training data points were consolidated into a single dataset and standardised across sources with several training iterations to optimise class combinations, resulting in the follow nine classes: Arable; Bare; Bracken; Broadleaved woodland; Conifer woodland; Dwarf shrub; Rock; Urban; Water. A Random Forest model was trained and applied across Scotland to generate a bracken probability surface. A binary bracken classification was then produced by applying a probability threshold to the model output. The resulting datasets were reviewed against aerial photography and reference data to assess performance and suitability for operational use.
The project detected approximately 208,000 hectares of bracken coverage across Scotland. Key findings were:
• The final model achieved an overall accuracy of 85%. For the bracken class specifically, it achieved an 88% recall (successfully identifying the vast majority of true bracken) and a 79% precision, indicating a slight over-classification where bracken was occasionally confused with broadleaved trees and dwarf shrubs. • The summer and autumn Sentinel-2 NDVI composites, alongside elevation-derived datasets, were identified as the most valuable inputs for accurately distinguishing bracken from other vegetation. • Methodological limitations highlighted include missing optical data due to seasonal cloud cover and inconsistent surface height variations with the APGB elevation models.
A full methodology is available in the Project Report, available at https://www.sasa.gov.uk/sites/default/files/Creation_of_a_Scottish_Bracken_Map_-_Final_Report_-_18062026.pdf.</statement>
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