Search results for machine learning
FiltersWMS
40 datasets for “machine learning”
- data.gov.au
Machine Learning Models WMS
Geoscience Australia DataUpdated 8 Jan 2026
This web service contains map layers and coverages for machine learning models, using raster datasets which include radiometric …
- WMS
- data.gov.au
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998
Australian Ocean Data NetworkUpdated 23 Jun 2025
Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great …
- WFS
- WMS
- HTML
- PNG
- data.gov.au
Seagrass meadows of Hervey Bay and the Great Sandy Strait, Queensland, derived from field surveys conducted 6-14 December, 1998
Australian Ocean Data NetworkUpdated 10 Sept 2026
Approximately 2,362 ±289 km2 of seagrass meadows were mapped in the waters of Hervey Bay and Great …
- WFS
- WMS
- HTML
- PNG
- data.gov.au
High resolution conductivity mapping using regional AEM survey and machine learning.
Geoscience Australia DataUpdated 16 Oct 2025
… We have used a machine learning modelling approach that establishes predictive relationships between the inverted flight-line modelled …
- ZIP
- WMS
- WCS
- data.gov.au
Seagrass meadow extents derived from field to spaceborne earth observation at Green Island (Wunyami), a reef habitat in the Cairns section of the Great Barrier Reef, November 2020
Australian Ocean Data NetworkUpdated 3 Sept 2026
Seagrass meadow extent and meadow-scape was mapped using two alternative approaches at Green Island, a reef clear …
- WFS
- WMS
- HTML
- PNG
- GovData Germany
Forest Structure - Sentinel-1/2, GEDI - Germany, Yearly
open.bydataUpdated 11 Nov 2026
… The products were generated using a machine learning modelling approach that combines complementary spaceborne remote sensing sensors, namely …
- WMS
- DOWNLOAD
- data.gov.au
Seagrass meadows extents derived from field to spaceborne earth observation at Midge Point, Great Barrier Reef, September/October 2017
Australian Ocean Data NetworkUpdated 19 Aug 2026
Seagrass meadow extent and meadow-scape was mapped using three alternative approaches at Midge Point, a coastal turbid …
- WFS
- WMS
- HTML
- PNG
- data.gov.au
Soil and Landscape Grid National Soil Attribute Maps - Rock outcrop occurrence (3" resolution) - Release 1
Terrestrial Ecosystem Research Network's Data DiscoveryUpdated 10 Jun 2026
… A machine learning model was used to find relationships between observed data and associated environmental covariate data to …
- HTML
- WMS
- PNG
- data.gov.au
Unearthing Australia’s subsurface secrets - An integrated FAIR modelling approach
Geoscience Australia DataUpdated 16 Oct 2025
Output Type: Exploring for the Future Extended Abstract Short Abstract: To enable a sustainable and responsible use of …
- WMS
- WCS
- WMTS
- data.gov.au
Remote sensing surface canopy mapping of Giant Kelp forests in Southern Australia, 2016–2023
Australian Ocean Data NetworkUpdated 18 Apr 2026
… to exclude intertidal areas • Create a first-pass machine learning (ML) classification using Sentinel-2 (10 m) imagery …
- HTML
- ZIP
- WMS
- WFS
- PNG
- data.gov.au
Vicmap Vegetation - Tree Urban Point
Department of Transport and PlanningUpdated 31 Jul 2026
… This product is derived from machine learning of high resolution aerial photography with no post processing human intervention.
- DWG
- DXF
- GDB
- SHP
- MIF
- TAB
- +3
- data.gov.au
Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials
Geoscience Australia DataUpdated 16 Oct 2025
… and validated during a series of semi–automated machine learning competitions; and/or (2) incorporating geological and geophysical …
- HTML
- WFS
- WMS
- data.gov.au
Complete Radiometric Grid of Australia (Radmap) v4 2019 with modelled infill
Geoscience Australia DataUpdated 16 Oct 2025
… A boosted regression tree algorithm called XGBoost (open-source software library for gradient boosting machine learning) was used …
- ZIP
- WMS
- WCS
- data.gov.au
National surface and near-surface conductivity grids
Geoscience Australia DataUpdated 16 Oct 2025
… The GB model is a machine learning (ML) ensemble technique used for both regression and classification tasks (https …
- ZIP
- WMS
- WCS
- Open Government Canada
Canadian Wetland Inventory Map Version 3A (CWIM3A)
Natural Resources Canada | Ressources naturelles CanadaUpdated 6 Dec 2024
The third generation of high resolution 10-m wetland inventory map of Canada, covering an approximate area of …
- WMS
- WCS
- TIFF
- JSON
- GEOTIF
- data.gov.au
Great Barrier Reef 10m Grid (GBR10) GBRMP Benthic
Australian Ocean Data NetworkUpdated 16 Jul 2026
… The occurrences of benthic habitat type were derived through machine learning applied to geolocated photos of the benthos …
- TIF
- WMS
- HTML
- PNG
- data.gov.au
Great Barrier Reef 10m Grid (GBR10) GBRMP Benthic
Australian Ocean Data NetworkUpdated 28 Sept 2026
… The occurrences of benthic habitat type were derived through machine learning applied to geolocated photos of the benthos …
- TIF
- WMS
- HTML
- PNG
- Data.NSW
Fire Extent and Severity Mapping (FESM) 2020/21
NSW Department of Climate Change, Energy, the Environment and WaterUpdated 3 Oct 2026
… to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The …
- ZIP
- WMS
- ARCGIS REST SERVICE
- data.gov.au
Fire Extent and Severity Mapping (FESM) 2020/21
NSW Department of Climate Change, Energy, the Environment and WaterUpdated 12 May 2026
… to mapping fire extent and severity through a machine learning framework based on sentinel 2 satellite imagery. The …
- ZIP
- WMS
- ESRI REST
- Open Government Canada
Pan-Arctic Wetland Inventory Dataset Version 1 (baseline)
Natural Resources Canada | Ressources naturelles CanadaUpdated 26 Mar 2026
… Generated through advanced Earth Observation and machine learning techniques, the map was produced using multi-year (2020–2022 …
- GEOTIF
- JSON
- WMS