Dr Mitchell Lyons
Role: Research Fellow | Lecturer
Bio: I am a postdoc in the Centre for Ecosystem Science, and my research can be described as a mixture of Ecology, Geography and Statistics. I finished my PhD in 2013, at the University of Queensland, which focused on developing new remote sensing methods for long term monitoring and change detection in terrestrial and marine ecosystems. After this I focused on automated monitoring of seagrass environments using remote sensing and autonomous underwater vehicles (AUVs). On moving to the University of New South Wales, I shifted focus to application of modern statistical and modelling approaches for large scale vegetation classification and mapping problems, with a side interest in drone-acquired image data. I also teach remote sensing in some of the courses in the School of Biological, Earth and Environmental Sciences, as well as programming and statistics in various short courses and workshops (http://environmentalcomputing.net/). I am also involved in a project at the University of Queensland - the Paul Allen Coral Atlas - that is mapping every coral reef in the world, and my focus is on developing object-based and machine learning classification and mapping routines.
Research field keywords: ecology, remote sensing and GIS, ecological modelling, vegetation science, statistical ecology
Publications: see my Google Scholar profile (http://scholar.google.com.au/citations?user=9PnIKHYAAAAJ), and please contact me if you would like a copy of any of my papers.
optimus - model-based clustering diagnostics - https://cran.r-project.org/web/packages/optimus/index.html
c2c - comparing classification and clustering solutions to eachother - https://cran.r-project.org/web/packages/c2c/index.html
online quantatative vegetation classificaiton tool - https://mitchest.shinyapps.io/vegplot/
phone: +61 2 9385 8296 | email: firstname.lastname@example.org | location: level 5, E26 (biological sciences south) | twitter: @mitchest
Level 5 East, Biological Sciences South (E26), UNSW, Kensington 2052