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2020
Massetti, A., Yebra, M., Hilton, J. & Rüdiger, C. Case study: use of remote sensing data to derive spatial and temporal explicit fuel accumulation curves across defence lands. (Bushfire and Natural Hazards CRC, 2020).
McGlade, J. et al. 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).
Chuvieco, E. et al. Satellite Remote Sensing Contributions to Wildland Fire Science and Management. Current Forestry Reports (2020). doi:https://doi.org/10.1007/s40725-020-00116-5
2019
Wang, L. et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 11, (2019).
Goldbergs, G. Remote sensing of tree structure and biomass in north Australia mesic savanna. Engineering, IT and Environment Philosophy, (2019).
2016
Gupta, V. Measuring fire-induced change in the understorey of an Australian dry sclerophyll forest using remote sensing. (2016). at <https://researchbank.rmit.edu.au/view/rmit:161758>