National Supratidal and Coastal Lowland Forest extent map of Australia

<p dir="ltr">National Supratidal and Coastal Lowland Forest (SCLF) extent map (v1_release)</p><ul><li>This is the suite of spatial data products detailing the national supratidal and coastal lowland forest extent map.</li><li>This is a set of four (4) spatial data layers which are described below</li><li>These include the final national supratidal and coastal lowland forest extent map and the three models that generate this final map, including an elevation model, connectivity model, and vegetation model.</li></ul><p dir="ltr"><br></p><p dir="ltr"># SCL_elevation_model.tif</p><ul><li>Info: This dataset shows the confidence of an area being considered supratidal and coastal lowland (SCL) based on elevation within the coastal landscape.</li><li>Data: Raster dataset of continuous values between 0 and 1, where 0 indicates very limited confidence of being with the expected elevation range, and 1 indicates very high confidence.</li><li>Data year: 2020</li></ul><p dir="ltr"><br></p><p dir="ltr"># SCL_connectivity_model.tif</p><ul><li>Info: This dataset shows the confidence of an area being considered supratidal and coastal lowland (SCL) based on connectivity within the coastal landscape. Here we use a least cost path approach to determine confidence of connectivity to intertidal landscapes.</li><li>Data: Raster dataset of continuous values between 0 and 1, where 0 indicates very limited confidence of being connected to intertidal landscapes, and 1 indicates very high confidence.</li><li>Data year: 2020</li></ul><p dir="ltr"><br></p><p dir="ltr"># SCL_vegetation_model.tif</p><ul><li>Info: This dataset shows the confidence of an area being considered forest that is within the supratidal and coastal lowland (SCL) area.</li><li>Data: Raster dataset of continuous values between 0 and 1, where 0 indicates very limited confidence of being forest, and 1 indicates very high confidence.</li><li>Data year: 2020</li></ul><p dir="ltr"><br></p><p dir="ltr"># SCLF_model.tif</p><ul><li>Info: his dataset shows the confidence of an area being considered supratidal and coastal lowland forest (SCLF).</li><li>Data: Raster dataset of continuous values between 0 and 1, where 0 indicates very limited confidence of being supratidal and coastal lowland forest, and 1 indicates very high confidence. Note: the vegetation model woody cover fraction dataset has been threshold at 0.2 for this dataset, meaning that any pixels with a woody cover fraction <0.2 are not considered forest. This align with international (FAO) and national (ABARES NFI) definitions of forest, considered where >20% canopy cover.</li><li>Data year: 2020</li></ul><p dir="ltr"># for more information on the creation of these datasets, please refer to the landing page of the GitHub for this project (https://github.com/christopherowers/supratidal_forests/)</p><p><br></p><p dir="ltr"># Creators: Chris Owers, Rafael Carvalho, Jeff Kelleway</p><p dir="ltr"># Contact: Chris Owers, University of Newcastle (chris.owers@newcastle.edu.au)</p><p dir="ltr"># Date created: June 2025</p>