Export 32 results:
Filters: Author is Luke Wallace
Up-scaling fuel hazard metrics derived from terrestrial laser scanning using a machine learning model. Remote Sensing 15, 1273 (2023).
Fuels3D - final project report. (Bushfire and Natural Hazards CRC, 2022).
A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics. ISPRS Journal of Photogrammetry and Remote Sensing 181, 295-307 (2021).
High-Resolution Estimates of Fire Severity - An Evaluation of UAS Image and LiDAR Mapping Approaches on a Sedgeland Forest Boundary in Tasmania, Australia . Fire 4, (2021).
The influence of satellite imagery on landscape perception. Landscape Research (2021). doi:https://doi.org/10.1080/01426397.2021.1886264
A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest. International Journal of Applied Earth Observation and Geoinformation 95, (2020).
An early exploration of the use of the Microsoft Azure Kinect for estimation of urban tree Diameter at Breast Height. Remote Sensing Letters 11, 963-972 (2020).
Quantifying fuel hazard assessments - Fuels3D annual report 2018-2019. (Bushfire and Natural Hazards CRC, 2020).
Quantifying fuel hazard assessments - Fuels3D annual report 2019-2020. (Bushfire and Natural Hazards CRC, 2020).
Assessing the ability of image based point clouds captured from a UAV to measure the terrain in the presence of canopy cover. forests 10, (2019).
Fuels3D: barking up the wrong tree and beyond. AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum (Australian Institute for Disaster Resilience, 2019). at <https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/>
Advances in active fire detection using a multi-temporal method for next-generation geostationary satellite data. International Journal of Digital Earth (2018). doi:https://doi.org/10.1080/17538947.2018.1497099
Estimating fire background temperature at a geostationary scale - an evaluation of contextual methods for AHI-8. Remote Sensing 10, (2018).
Estimating Fire Background Temperature at a Geostationary Scale—An Evaluation of Contextual Methods for AHI-8. Remote Sensing 10, (2018).
Experiences in the in-field utilisation of fuels3D. AFAC18 (Bushfire and Natural Hazards CRC, 2018).
Fuels3D: annual project report 2017-18. (Bushfire and Natural Hazards CRC, 2018).
Implementation of a new algorithm resulting in improvements in accuracy and resolution of SEVIRI hotspot products. Remote Sensing Letters 9, (2018).
Intercomparison of Himawari-8 AHI-FSA with MODIS and VIIRS active fire products. International Journal of Digital Earth (2018). doi:https://doi.org/10.1080/17538947.2018.1527402
A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation. Remote Sensing 9, (2017).
Disaster landscape attribution: annual report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
Emerging technologies for estimating fuel hazard. (Bushfire and Natural Hazards CRC, 2017).
Enhanced estimation of background temperature for fire detection using new geostationary sensors. AFAC17 (Bushfire and Natural Hazards CRC, 2017).