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Description
Geoscience Australia's Semi-automated Morphological Mapping Tools (GA-SaMMT) are a collection of seven ArcGIS Pro Python toolboxes for seabed characterisation. The tools map ten bathymetric high and eight bathymetric low morphology features, as well as three classes of morphological surfaces, based on definitions from published research. The package includes tutorials, a user guide, sample data, and has been applied to multiple real-world study areas.
Use Cases
Automated mapping of bathymetric high features like ridges and banks based on Topographic Position Index (TPI) and Openness calculations.
Automated mapping of bathymetric low features like valleys and basins using the provided TPI and CI tools.
Classification of identified seabed features into standardized morphological categories defined in Dove et al. (2020).
Calculating shape, topographic, and profile attributes for mapped features to support quantitative analysis.
Mapping morphological surfaces from bathymetry and slope data to characterize broader seabed terrain.
Strengths
Includes seven distinct toolboxes with 24 individual tools for a complete mapping workflow.
Tools are designed to map a specific set of 18 morphology features (10 high, 8 low) and 3 surface classes.
Provides multiprocessing capabilities in the 'AddAttributesFast' toolbox for performance improvement.
Documentation includes tutorials, a user guide, sample data, and published real-world applications.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale processing.
The tools have specific system and data format requirements tied to ArcGIS Pro and Python 3+.
Provenance
Source
Geoscience Australia Data
Collection Method
Developed as ArcGIS Pro Python tools using Python 3+.
Time Range
null
Freshness
Last updated 2026-04-20 00:56:49.633675; freshness should be verified.
Geography
null
Requires ArcGIS Pro and Python 3+ to use; data is provided in a ZIP file format.