Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence

Assessment and prioritisation of plant species at risk from myrtle rust ( Austropuccinia psidii ) under current and future climates in Australia

(2018) K. Berthon et al.   BIOLOGICAL CONSERVATION

Detecting myrtle rust (Austropuccinia psidii ) on lemon myrtle trees using spectral signatures and machine learning

(2018) R. H. J. Heim et al.   PLANT PATHOLOGY

A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data

(2018) Fernando Vanegas et al.   SENSORS

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

(2017) Amy Lowe et al.   Plant Methods

Towards the Automatic Detection of Pre-Existing Termite Mounds through UAS and Hyperspectral Imagery

(2017) Juan Sandino et al.   SENSORS

Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models

(2017) Angela Lausch et al.   Remote Sensing

Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

(2017) Johanna Albetis et al.   Remote Sensing

Application of Remote Sensing Technologies for Assessing Planted Forests Damaged by Insect Pests and Fungal Pathogens: a Review

(2017) Christine Stone et al.   Current Forestry Reports

Impact of Austropuccinia psidii (myrtle rust) on Myrtaceae-rich wet sclerophyll forests in south east Queensland

(2017) Geoff Pegg et al.   PLoS One

Site-based and remote sensing methods for monitoring indicators of vegetation condition: An Australian review

(2016) V. Lawley et al.   ECOLOGICAL INDICATORS

Current and projected global distribution of Phytophthora cinnamomi , one of the world's worst plant pathogens

(2016) Treena I. Burgess et al.   GLOBAL CHANGE BIOLOGY

Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments

(2016) Fernando Vanegas et al.   SENSORS

Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation

(2016) Luis Gonzalez et al.   SENSORS

In Situ/Remote Sensing Integration to Assess Forest Health—A Review

(2016) Marion Pause et al.   Remote Sensing

Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics

(2016) Angela Lausch et al.   Remote Sensing

Impact of the invasive rust Puccinia psidii (myrtle rust) on native Myrtaceae in natural ecosystems in Australia

(2015) Angus J. Carnegie et al.   BIOLOGICAL INVASIONS

Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

(2015) Helge Aasen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

First Report of Puccinia psidii (Myrtle Rust) in Eucalyptus Plantations in Australia

(2015) A. J. Carnegie   PLANT DISEASE

Risk assessment forPuccinia psidiibecoming established in South Africa

(2015) J. Roux et al.   PLANT PATHOLOGY

Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas

(2015) Rocío Calderón et al.   Remote Sensing

Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level

(2015) Roope Näsi et al.   Remote Sensing

Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images

(2015) Sebastian Candiago et al.   Remote Sensing

Identification and Disease Index Inversion of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data at Canopy Level

(2015) Hui Wang et al.   Journal of Spectroscopy

Estimating Tree Biomass via Remote Sensing, MSAVI 2, and Fractional Cover Model

(2014) Teerawong Laosuwan et al.   IETE TECHNICAL REVIEW

Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina)

(2014) Davoud Ashourloo et al.   Remote Sensing

UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas

(2014) Esther Salamí et al.   Remote Sensing

Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy

(2013) Lin Gu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Puccinia psidiiin Queensland, Australia: disease symptoms, distribution and impact

(2013) G. S. Pegg et al.   PLANT PATHOLOGY

High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices

(2013) R. Calderón et al.   REMOTE SENSING OF ENVIRONMENT

Taxonomic uncertainty and decision making for biosecurity: spatial models for myrtle/guava rust

(2012) J. Elith et al.   AUSTRALASIAN PLANT PATHOLOGY

Assessing vulnerable areas for Puccinia psidii (eucalyptus rust) in Australia

(2012) Trevor H. Booth et al.   AUSTRALASIAN PLANT PATHOLOGY

Self-organization and complex dynamics of regenerating vegetation in an arid ecosystem: 82 years of recovery after grazing

(2012) V. Lawley et al.   JOURNAL OF ARID ENVIRONMENTS

Emergence of the sudden oak death pathogen Phytophthora ramorum

(2012) Niklaus J. Grünwald et al.   TRENDS IN MICROBIOLOGY

Emergency response to the incursion of an exotic myrtaceous rust in Australia

(2011) Angus J. Carnegie et al.   AUSTRALASIAN PLANT PATHOLOGY

The effects of logging and disease on American chestnut

(2011) Katie L. Burke   FOREST ECOLOGY AND MANAGEMENT

Overview: Spatial information and indicators for sustainable management of natural resources

(2010) Bertram Ostendorf   ECOLOGICAL INDICATORS

Detection of soybean rust using a multispectral image sensor

(2009) Di Cui et al.   Journal of Food Measurement and Characterization

Sudden oak death andPhytophthora ramorumin the USA: a management challenge

(2008) Susan J. Frankel   AUSTRALASIAN PLANT PATHOLOGY

Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves

(2008) R. Devadas et al.   PRECISION AGRICULTURE