Darwin Harbour Habitat Mapping Program: NSGM Morphology Features

Authors / CoAuthors

Nanson, R.

Abstract

The seafloor morphology mapping approach used to derive this dataset follows Geoscience Australia’s draft National Seafloor GeoMorphology (NSGM) mapping scheme (Nanson and Nichol, 2018). The NSGM scheme is an extension of the Dove et al. (2016) approach, which characterises the seafloor in two sequential parts: Part 1 maps the seafloor Morphology (shape) using bathymetry data, and Part 2 uses additional data to interpret seafloor Geomorphology for those mapped morphological shapes. Part 1 of the NSGM scheme was applied to the project dataset, and consists of three hierarchical levels: Province, Surface and Feature. This dataset is published with the permission of the CEO, Geoscience Australia

Product Type

dataset

eCat Id

127276

Contact for the resource

Point of contact for the resource

Point of contact

Commonwealth of Australia (Geoscience Australia)
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia

Keywords

( Product )

seabed geomorphic features

Published_External

Publication Date

2020-01-22T02:44:24

Creation Date

2019-02-27T10:00:00

Security Constraints

Australian Government Security ClassificationSystem

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence

Access - license

Use - license

Status

completed

Purpose

Maintenance Information

asNeeded

Topic Category

geoscientificInformation

Series Information

Lineage

This dataset contains NSGM Feature shapefiles, derived using Benthic Terrain Modeller (Walbridge et al., 2019) for the Darwin Harbour Mapping Project. This tool was applied to a 10m bathymetry grid derived from the principal bathymetry grid of this project (1 m resolution) on the Darwin region (eCat 127094) at a range of annulus settings, to identify High and Low features of interest. The success of each resulting BTM grid was assessed by eye, and the most representative datasets were further processed and generalised by applying ArcGIS Majority Filter and Aggregation tools. The resulting grids were exported to shapefiles and classified into appropriate NSGM Feature categories. Based on this dataset, the study area is characterised by these NSGM Features: Depressions (15%), Platforms (14%), Ridges (13%), Knolls (2%) and Bedforms (fields) (1%).

Parent Information

Extents

[-12.725, -12.125, 130.25, 131.2]

Reference System

GDA94 (EPSG:4283)

Spatial Resolution

10 m

Service Information

Associations

Downloads and Links

Download the data (shp) [1.5 MB]

Link to collection record

Source Information