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Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data

Remote sensing of environment, 2015-05, Vol.161, p.12-26

2015

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A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.147

2019

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Bringing an ecological view of change to Landsat-based remote sensing

Frontiers in ecology and the environment, 2014-08, Vol.12 (6), p.339-346

2014

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Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments

Remote sensing (Basel, Switzerland), 2019-09, Vol.11 (17), p.2060

2019

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Estimating Plant Pasture Biomass and Quality from UAV Imaging across Queensland’s Rangelands

AgriEngineering, 2020-12, Vol.2 (4), p.523-543

2020

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Pre-Processing Training Data Improves Accuracy and Generalisability of Convolutional Neural Network Based Landscape Semantic Segmentation

Land (Basel), 2023-07, Vol.12 (7), p.1268

2023

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Climate-Resilient Grazing in the Pastures of Queensland: An Integrated Remotely Piloted Aircraft System and Satellite-Based Deep-Learning Method for Estimating Pasture Yield

AgriEngineering, 2021-09, Vol.3 (3), p.681-702

2021

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Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1337

2020

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An Accuracy Assessment of Derived Digital Elevation Models from Terrestrial Laser Scanning in a Sub-Tropical Forested Environment

Remote sensing (Basel, Switzerland), 2017-08, Vol.9 (8), p.843

2017

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Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations

International journal of applied earth observation and geoinformation, 2020-12, Vol.93, p.102209, Article 102209

2020

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Multispectral, Aerial Disease Detection for Myrtle Rust (Austropuccinia psidii) on a Lemon Myrtle Plantation

Drones (Basel), 2019-03, Vol.3 (1), p.25

2019

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Enabling Regenerative Agriculture Using Remote Sensing and Machine Learning

Land (Basel), 2023-06, Vol.12 (6), p.1142

2023

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Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery

Journal of applied remote sensing, 2009-08, Vol.3 (1), p.33540

Armston, John D.

2009

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Mapping the multi-decadal mangrove dynamics of the Australian coastline

Remote sensing of environment, 2020-03, Vol.238, p.111185, Article 111185

2020

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Modelling canopy gap probability, foliage projective cover and crown projective cover from airborne lidar metrics in Australian forests and woodlands

Remote sensing of environment, 2020-02, Vol.237, p.111520, Article 111520

2020

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Analysis of multi-date MISR measurements for forest and woodland communities, Queensland, Australia

Remote sensing of environment, 2007-03, Vol.107 (1), p.287-298

2007

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Cloud and cloud shadow masking for Sentinel-2 using multitemporal images in global area

International journal of remote sensing, 2020-04, Vol.41 (8), p.2877-2904

2020

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Green space in health research: an overview of common indicators of greenness

Reviews on environmental health, 2024-06

2024

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Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery—A machine learning approach

International journal of applied earth observation and geoinformation, 2018-12, Vol.73, p.666-681

2018

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Direct retrieval of canopy gap probability using airborne waveform lidar

Remote sensing of environment, 2013-07, Vol.134, p.24-38

2013

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Optimised U-Net for Land Use–Land Cover Classification Using Aerial Photography

Journal of photogrammetry, remote sensing and geoinformation science, 2023-04, Vol.91 (2), p.125-147

2023

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Relating foliage and crown projective cover in Australian tree stands

Agricultural and forest meteorology, 2018-09, Vol.259, p.39-47

2018

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A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series

International journal of remote sensing, 2017-02, Vol.38 (3), p.679-705

2017

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The association of fractional cover, foliage projective cover and biodiversity with birthweight

The Science of the total environment, 2021-04, Vol.763, p.143051, Article 143051

2021

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Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning

Journal of environmental management, 2024-04, Vol.356, p.120564-120564, Article 120564

2024

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Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data

A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data

Bringing an ecological view of change to Landsat-based remote sensing

Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments

Estimating Plant Pasture Biomass and Quality from UAV Imaging across Queensland’s Rangelands

Pre-Processing Training Data Improves Accuracy and Generalisability of Convolutional Neural Network Based Landscape Semantic Segmentation

Climate-Resilient Grazing in the Pastures of Queensland: An Integrated Remotely Piloted Aircraft System and Satellite-Based Deep-Learning Method for Estimating Pasture Yield

Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia

An Accuracy Assessment of Derived Digital Elevation Models from Terrestrial Laser Scanning in a Sub-Tropical Forested Environment

Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations

Multispectral, Aerial Disease Detection for Myrtle Rust (Austropuccinia psidii) on a Lemon Myrtle Plantation

Enabling Regenerative Agriculture Using Remote Sensing and Machine Learning

Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery

Mapping the multi-decadal mangrove dynamics of the Australian coastline

Modelling canopy gap probability, foliage projective cover and crown projective cover from airborne lidar metrics in Australian forests and woodlands

Analysis of multi-date MISR measurements for forest and woodland communities, Queensland, Australia

Cloud and cloud shadow masking for Sentinel-2 using multitemporal images in global area

Green space in health research: an overview of common indicators of greenness

Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery—A machine learning approach

Direct retrieval of canopy gap probability using airborne waveform lidar

Optimised U-Net for Land Use–Land Cover Classification Using Aerial Photography

Relating foliage and crown projective cover in Australian tree stands

A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series

The association of fractional cover, foliage projective cover and biodiversity with birthweight

Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning

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