Michael G. Hughes

ORCID: 0000-0003-2225-336X
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About
Contact & Profiles
Research Areas
  • Coastal and Marine Dynamics
  • Coastal wetland ecosystem dynamics
  • Geological formations and processes
  • Aeolian processes and effects
  • Ocean Waves and Remote Sensing
  • Tropical and Extratropical Cyclones Research
  • Flood Risk Assessment and Management
  • Social Media and Politics
  • Geological and Geophysical Studies
  • Hydrology and Watershed Management Studies
  • Coastal and Marine Management
  • Hydrology and Sediment Transport Processes
  • Wave and Wind Energy Systems
  • Geology and Paleoclimatology Research
  • Coral and Marine Ecosystems Studies
  • Oceanographic and Atmospheric Processes
  • Marine and fisheries research
  • Marine Biology and Ecology Research
  • Maritime and Coastal Archaeology
  • Soil erosion and sediment transport
  • Technology Assessment and Management
  • Terrorism, Counterterrorism, and Political Violence
  • Hydrology and Drought Analysis
  • Sports Performance and Training
  • Misinformation and Its Impacts

Department of Climate Change, Energy, the Environment and Water
2024

University of Wollongong
2018-2023

NSW Department of Planning and Environment
2018-2022

Human Resources Research Organization
2014-2020

NSW Environment and Heritage
2017-2019

Bush Heritage Australia
2019

The University of Sydney
2006-2017

Cerebral Palsy Research Network
2015

Research Network (United States)
2015

University of Oklahoma
2011-2014

10.1016/s0278-4343(98)00027-2 article EN Continental Shelf Research 1998-08-01

Coastal wetlands are a critical component of the coastal landscape that increasingly threatened by sea level rise and other human disturbance. Periodically mapping wetland distribution is crucial to ecosystem management. Ensemble algorithms (EL), such as random forest (RF) gradient boosting machine (GBM) algorithms, now commonly applied in field remote sensing. However, performance potential EL methods, extreme (XGBoost) bagged trees, rarely compared tested for mapping. In this study, we...

10.3390/rs12101683 article EN cc-by Remote Sensing 2020-05-25

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 417:83-95 (2010) - DOI: https://doi.org/10.3354/meps08815 Quantifying wave exposure in shallow temperate reef systems: applicability of fetch models for predicting algal biodiversity Nicole A. Hill1,*, Austen R. Pepper1, 4, Marji L. Puotinen2, 5, Michael G. Hughes3, 6, Graham J. Edgar1, Neville S. Barrett1,...

10.3354/meps08815 article EN Marine Ecology Progress Series 2010-09-21

Measurements of Eulerian flow velocity obtained within the swash zone on a relatively steep beach face (gradient 1:23) are compared with an extended ballistic model. The model only requires friction factor, slope and terminal bore as input. following predictions matched well observations: (1) maximum is shoreline when it arrives at fixed point interest face; (2) any location time reversal occurs prior to reaching its landward excursion; (3) in backwash recorded recedes past (and this less...

10.1029/2003jc002213 article EN Journal of Geophysical Research Atmospheres 2004-08-01

10.1016/j.csr.2007.04.005 article EN Continental Shelf Research 2007-05-06

Abstract The distribution of serotonin (5HT) in the brain Atlantic stingray was studied with peroxidase‐antiperoxidase immunocytochemistry and high‐pressure liquid chromatography. regional concentrations 5HT determined for this fell within range values previously reported fishes. A consistent trend vertebrates hypothalamus midbrain to have highest cerebellum lowest confirmed stingrays. Neuronal cell bodies processes exhibiting 5HT‐like immunoreactivity were distributed variable densities...

10.1002/cne.902210406 article EN The Journal of Comparative Neurology 1983-12-20
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