A5076105116- Remote Sensing and LiDAR Applications
- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Forest ecology and management
- Arctic and Antarctic ice dynamics
- Atmospheric aerosols and clouds
- Methane Hydrates and Related Phenomena
- Oceanographic and Atmospheric Processes
- 3D Surveying and Cultural Heritage
- Fire Detection and Safety Systems
- Atmospheric and Environmental Gas Dynamics
- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Rangeland and Wildlife Management
- Underwater Acoustics Research
- Geological Studies and Exploration
- Maritime Navigation and Safety
- Solar Radiation and Photovoltaics
- Underwater Vehicles and Communication Systems
- Educational Technology and Assessment
- Infrared Target Detection Methodologies
- Scientific Research and Discoveries
- Winter Sports Injuries and Performance
- Forest Biomass Utilization and Management
CSIRO Oceans and Atmosphere
2024
University of Twente
2016-2023
Natural Hazards Research Australia
2016-2023
RMIT University
2016-2023
University of Tasmania
2022-2023
MIT University
2018
ORCID
2018
GeoInformation (United Kingdom)
2018
Summary Quantitative measurements of above‐ground vegetation biomass are vital to a range ecological and natural resource management applications. Remote‐sensing techniques, such as terrestrial laser scanning (TLS) image‐based point clouds, potentially revolutionary techniques for measuring deriving other related, structural metrics these purposes. Surface (up 25 cm) in pasture, forest, woodland environments is estimated from 3D cloud derived small number digital images. Volume calculated,...
With an increase in the frequency and severity of wildfires across globe resultant changes to long-established fire regimes, mapping is a vital part monitoring ecosystem resilience recovery. The emergence unoccupied aircraft systems (UAS) compact sensors (RGB LiDAR) provide new opportunities map severity. This paper conducts comparison metrics derived from UAS Light Detecting Ranging (LiDAR) point clouds image based products classify A workflow which derives novel describing vegetation...
A vital component of fire detection from remote sensors is the accurate estimation background temperature an area in fire's absence, assisting identification and attribution activity. New geostationary increase data available to describe temporal domain. Broad methods extract expected diurnal cycle a pixel using this temporally rich have shown potential for use detection. This paper describes application method priming fitting imagery Advanced Himawari Imager. The BAT used provide training...
Fuel hazard estimates are vital for the prediction of fire behaviour and planning fuel treatment activities. Previous literature has highlighted potential Terrestrial Laser Scanning (TLS) to be used assess properties. However, operational uptake these systems been limited due a lack sampling approach that balances efficiency data efficacy. This study aims whether an utilising capture information over area commensurate with current assessment protocols implemented in South-Eastern Australia...
Forest and urban tree inventory measurements are increasingly adopting Remote Sensing (RS) techniques due to the accurate rapid estimates available compared conventional methods. The focus of this study is assess accuracy potential application Microsoft Azure Kinect – a lightweight depth sensor for outdoor measurement stem Diameter at Breast Height (DBH). Individual trees (n = 51) were recorded from one viewing angle distance 1 m 5 away using various Field View (FOV) settings on sensor,...
Point clouds captured from Unmanned Aerial Systems are increasingly relied upon to provide information describing the structure of forests. The quality derived these point is dependent on a range variables, including type and forest, weather conditions flying parameters. A key requirement achieve accurate estimates height based metrics forest source ground information. This study explores availability reliability surface points available within in six forests different (canopy cover height),...
Characteristics describing below canopy vegetation are important for a range of forest ecosystem applications including wildlife habitat, fuel hazard and fire behaviour modelling, understanding recovery after disturbance competition dynamics. Such all rely on accurate measures structure. Inherent in this is the assumption or ability to demonstrate measurement accuracy. 3D point clouds being increasingly used describe vegetated environments, however limited research has been conducted...
Wildfire detection and attribution is an issue of importance due to the socio-economic impact fires in Australia. Early allows emergency response agencies make informed decisions order minimise loss life protect strategic resources threatened areas. Until recently, ability land management authorities accurately assess fire through satellite observations Australia was limited those made by polar orbiting satellites. The launch Japan Meteorological Agency (JMA) Himawari-8 satellite, with...
The ocean is the main heat reservoir in Earth’s climate system, absorbing most of top-of-the-atmosphere excess radiation. As warms, anomalously warm and fresh waters densest layers formed near Antarctica spread northward through abyssal ocean, while successions warming cooling events are seen deep-ocean Greenland. freshening expands volume raises sea level. While temperature salinity characteristics large-scale circulation upper 2000 m well monitored, present observing network limited by...
An integral part of any remotely sensed fire detection and attribution method is an estimation the target pixel’s background temperature. This temperature cannot be measured directly independent radiation, so indirect methods must used to create estimate this value. The most commonly through derivation from surrounding obscuration-free pixels available in same image, a contextual process. performs well cloud-free conditions areas with homogeneous landscape characteristics, but increasingly...
Fire detection from satellite sensors relies on an accurate estimation of the unperturbed state a target pixel, which anomaly can be isolated. Methods for estimating radiation budget pixel without fire depend upon training data derived location’s recent history brightness temperature variation over diurnal cycle, vulnerable to cloud contamination and effects weather. This study proposes new method that utilises common solar found at given latitude in conjunction with area’s local time...
Abstract. Wildfire detection and attribution is an issue of importance due to the socio-economic impact fires in Australia. Early allows emergency response agencies make informed decisions order minimise loss life protect strategic resources threatened areas. Until recently, ability land management authorities accurately assess fire through satellite observations Australia was limited those made by polar orbiting satellites. The launch Japan Meteorological Agency (JMA) Himawari-8 satellite,...
Abstract Knowledge about seafloor depth, or bathymetry, is crucial for various marine activities, including scientific research, offshore industry, safety of navigation, and ocean exploration. Mapping the central Arctic Ocean challenging due to presence perennial sea ice, which limits data collection icebreakers, submarines, drifting ice stations. The International Bathymetric Chart (IBCAO) was initiated in 1997 with goal updating bathymetric portrayal. project team has since released four...
Abstract Antarctic continental shelf waters are poorly sampled, particularly beneath sea ice during winter. Profiling floats could help fill this gap, but unable to surface obtain a satellite position when is present. We deployed Argo profiling in coastal polynya with novel mission rest on the floor between profiles. “Parking” seabed minimized drift of and allowed year‐round, full‐depth measurements over multiple winters. Measurements water depth derived from were used combination known...
Site-specific information concerning fuel hazard characteristics is needed to support wildfire management interventions and reduction programs. Currently, routine visual assessments provide subjective information, with the resulting estimate of varying due observer experience rigor applied in making assessments. Terrestrial remote sensing techniques have been demonstrated be capable capturing quantitative on spatial distribution biomass inform This paper explores use image-based point clouds...
Three colour and depth (RGB-D) devices were compared, to assess the effect of image misalignment, resulting from simultaneous localisation mapping (SLAM) error, due forest structure complexity. Urban parkland (S1) was used stem density, understory vegetation (≤1.3 m) assessed in native woodland (S2). Individual continuous capture approaches used, with diameter at breast height (DBH) estimated. Misalignment present within point clouds; however, no significant differences DBH observed for...
Fire detection from satellite sensors relies on an accurate estimation of the unperturbed state a target pixel, which anomaly can be isolated. Methods for estimating radiation budget pixel without fire depend upon training data derived location's recent history brightness temperature variation over diurnal cycle, vulnerable to cloud contamination and effects weather. This study proposes new method that utilises common solar found at given latitude in conjunction with area's local time...
The characterisation of fuel distribution across heterogeneous landscapes is important for wildfire mitigation, validating models, and evaluating treatment outcomes. However, efficient mapping at a landscape scale challenging. Fuel hazard metrics were obtained using Terrestrial Laser Scanning (TLS) the current operational approach (visual assessment) seven sites south-eastern Australia. These point-based then up-scaled to continuous map, an area relevant fire management random forest...
The utility of Geostationary active fire detection and surveillance has recently been supplemented by two new algorithms developed our group: the AHI-FSA (Advanced Himawari Imager - Fire Surveillance Algorithm) Broad Area Training (BAT) method [1], [2]. Here we present results from a large area validation these products to support wildfire mapping using geostationary Himawari-8 satellite. AHI-FSA/BAT were tested on number case study areas in Western Australia. Initial demonstrate high...
Accurate estimates of the unperturbed state upwelling radiation from earth’s surface are vital to detection and classification anomalous values. Determining radiative anomalies in landscape is critical for isolating change, a key application being wildfire detection, which reliant upon knowledge location’s budget sans fire. Most techniques deriving background location use that spatial context, is, pixels immediately surrounding target. Spatial contextual estimation can be subject error due...