Export 42 results:
Filters: Author is Simon Jones
Up-scaling fuel hazard metrics derived from terrestrial laser scanning using a machine learning model. Remote Sensing 15, 1273 (2023).
Active fire detection using the Himawari-8 satellite - final project report. (Bushfire and Natural Hazards CRC, 2022).
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).
Kangaroo Island Black Summer fire reconstruction. (Bushfire and Natural Hazards CRC, 2021).
Active fire detection using the Himawari-8 satellite - annual report 2019-2020. (Bushfire and Natural Hazards CRC, 2020).
Active fire detection using the Himawari-8 satellite - annual report 2018-19. (Bushfire and Natural Hazards CRC, 2020).
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).
A Seasonal-Window Ensemble-Based Thresholding Technique Used to Detect Active Fires in Geostationary Remotely Sensed Data. IEEE Transactions on Geoscience and Remote Sensing (2020). doi:10.1109/TGRS.2020.3018455
Active fires: Early fire detection and mapping using HIMAWARI-8 Annual Report 2017-2018. (Bushfire and Natural Hazards CRC, 2019).
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).
Detecting active fires from space using Himawari-8: a report from the regional New South Wales trial . 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/>
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).