National Supratidal and Coastal Lowland Forest extent map of Australia

Full description

National Supratidal and Coastal Lowland Forest (SCLF) extent map (v1_release)

• This is the suite of spatial data products detailing the national supratidal and coastal lowland forest extent map.
• This is a set of four (4) spatial data layers which are described below
• 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.

# SCL_elevation_model.tif

• Info: This dataset shows the confidence of an area being considered supratidal and coastal lowland (SCL) based on elevation within the coastal landscape.
• 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.
• Data year: 2020

# SCL_connectivity_model.tif

• 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.
• 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.
• Data year: 2020

# SCL_vegetation_model.tif

• Info: This dataset shows the confidence of an area being considered forest that is within the supratidal and coastal lowland (SCL) area.
• 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.
• Data year: 2020

# SCLF_model.tif

• Info: his dataset shows the confidence of an area being considered supratidal and coastal lowland forest (SCLF).
• 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.
• Data year: 2020

# 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/)

# Creators: Chris Owers, Rafael Carvalho, Jeff Kelleway

# Contact: Chris Owers, University of Newcastle ([email protected])

# Date created: June 2025