2019-20 Honours project - Patterns and trends of frontal activity in Australian marine hotspots

This record contains:

Thesis
The MATLAB codes of the adaptive Canny gradient-based edge detection algorithm and calculating frontal probability/density (for AVHRR data and MODIS data separately).
Frontal probability (probability of frontal encounter, PFE) and frontal density (FD) data over Australian hotspot regions (for AVHRR data and MODIS data separately)
Results of the Mann-Kendall trend test

The purpose of this study is to verify the regional trends of frontal activity within the two marine hotspots near Australia and compare the performance of the two edge detection algorithms.

Data and resources

DATA ACCESS - Patterns and trends of frontal activity in Australian marine hotspots [explore all files]

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THESIS - Patterns and trends of frontal activity in Australian marine hotspots [PDF direct download]

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Additional information

Temporal extent	2019-07-10 – 2020-08-14
Date (creation)	2020-08-30
Status	completed
Update frequency	notPlanned
Metadata language	en
License	The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.
Source metadata	ISO 19115 XML
Last updated	2026-11-12
Created	2026-11-12
API	package_show

Spatial extent

Contacts

Yang, Kai

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS)

principalInvestigator
kai.yang@utas.edu.au
Fischer, Andrew

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS)

collaborator
andy.fischer@utas.edu.au

Keywords

FRONTAL PROBABILITYFRONTAL DENSITYClimatology (excl. Climate Change Processes)Physical OceanographyAnnual probability of frontal encounter (PFE) over the South East Australia hotspot (AVHRR data, Canny method)Annual probability of frontal encounter (PFE) over the South West Australia hotspot (AVHRR data, Canny method)Monthly probability of frontal encounter (PFE) over the South East Australia hotspot (AVHRR data, Canny method)Monthly probability of frontal encounter (PFE) over the South West Australia hotspot (AVHRR data, Canny method)6-day average frontal density (FD) over the South East Australia hotspot (AVHRR data, Canny method)6-day average frontal density (FD) over the South West Australia hotspot (AVHRR data, Canny method)Annual probability of frontal encounter (PFE) over the South East Australia hotspot (MODIS data, Canny method)Annual probability of frontal encounter (PFE) over the South West Australia hotspot (MODIS data, Canny method)Monthly probability of frontal encounter (PFE) over the South East Australia hotspot (MODIS data, Canny method)Monthly probability of frontal encounter (PFE) over the South West Australia hotspot (MODIS data, Canny method)6-day average frontal density (FD) over the South East Australia hotspot (MODIS data, Canny method)6-day average frontal density (FD) over the South West Australia hotspot (MODIS data, Canny method)Annual probability of frontal encounter (PFE) over the South East Australia hotspot (AVHRR data, Cayula and Cornillon method)Annual probability of frontal encounter (PFE) over the South East Australia hotspot (AVHRR data, CanAnnual probability of frontal encounter (PFE) over the South West Australia hotspot (AVHRR data, CanMonthly probability of frontal encounter (PFE) over the South East Australia hotspot (AVHRR data, CaMonthly probability of frontal encounter (PFE) over the South West Australia hotspot (AVHRR data, CaAnnual probability of frontal encounter (PFE) over the South East Australia hotspot (MODIS data, CanAnnual probability of frontal encounter (PFE) over the South West Australia hotspot (MODIS data, CanMonthly probability of frontal encounter (PFE) over the South East Australia hotspot (MODIS data, CaMonthly probability of frontal encounter (PFE) over the South West Australia hotspot (MODIS data, CaAnnual probability of frontal encounter (PFE) over the South East Australia hotspot (AVHRR data, Cay

Responsible organizations

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS)