Andrew Mellor

Department of Environment, Land, Water and Planning — Australia

Environmental Science · Physical Sciences

14h-index1.3kcitations43works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Remote Sensing in Agriculture(20), Remote Sensing and LiDAR Applications(20), Forest ecology and management(13), Natural Language Processing Techniques(7), Fire effects on ecosystems(5)

Publications43 total

Training data requirements for fire severity mapping using Landsat imagery and random forest
Remote Sensing of Environment·2020· 128 cited
The utility of Random Forests for wildfire severity mapping
Remote Sensing of Environment·2018· 193 cited
Ensemble diversity analysis on remote sensing data classification using random forests
2017· 3 cited
Monitoring Victoria’s public forests: implementation of the Victorian Forest Monitoring Program
Southern Forests a Journal of Forest Science·2017· 9 cited
Exploring diversity in ensemble classification: Applications in large area land cover mapping
ISPRS Journal of Photogrammetry and Remote Sensing·2017· 39 cited
A strategic forest inventory for public land in Victoria, Australia
Forest Ecology and Management·2016· 26 cited
Monitoring and reporting on sustainable forest management in Victoria, Australia.
New Zealand journal of forestry·2016· 1 cited
Using discrete‐return airborne laser scanning to quantify number of canopy strata across diverse forest types
Methods in Ecology and Evolution·2015· 51 citedOpen Access
An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems
Forest Ecology and Management·2015· 50 cited
Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data
Remote Sensing·2015· 61 citedOpen Access
Understanding the Effects of ALS Pulse Density for Metric Retrieval across Diverse Forest Types
Photogrammetric Engineering & Remote Sensing·2015· 44 citedOpen Access
Forest attribution using K-NN methods with Landsat 8 imagery and forest field plots
2015· 1 cited
Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin
ISPRS Journal of Photogrammetry and Remote Sensing·2015· 277 cited
Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems
Agricultural and Forest Meteorology·2015· 96 cited
Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification
2014· 12 cited
Automated In-Situ Laser Scanner for Monitoring Forest Leaf Area Index
Sensors·2014· 49 citedOpen Access
Investigating the relationship between airborne laser scanning derived forest canopy vertical structure and Landsat ETM+ derived indices
ForestSAT2014 Open Conference System·2014
Woody vegetation landscape feature generation from multispectral and LiDAR data (A CRCSI 2.07 woody attribution paper)
2013· 1 cited
The impact of sensor characteristics for obtaining accurate ground-based measurements of LAI
2013
A collaborative framework for vegetated systems research: A perspective from Victoria, Australia
2013
page 1 of 3Next →

Frequent Co-authors

Andrew Haywood(23), Simon Jones(18), Mariela Soto‐Berelov(15), Lola Suárez(13), Phil Wilkes(13), William Woodgate(12), Samia Boukir(4), Michael J. Hill(4), Andrew K. Skidmore(4), Christoffer Axelsson(4), Christine Stone(3), John Armston(3), Luke Collins(2), Graeme Newell(2), Mathias Disney(2), Darius Culvenor(2), Glenn Newnham(2), Peter Griffioen(1), Greg McCarthy(1), Luke Smith(1)