Untangling fuel, weather and management effects on fire severity: Insights from large-sample LiDAR remote sensing analysis of conditions preceding the 2019-20 Australian wildfires.
- DOI
- 10.1016/j.jenvman.2023.119474
- Published
- 2023 Dec 15
- Container
- Journal of environmental management
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2023.119474,
title = {Untangling fuel, weather and management effects on fire severity: Insights from large-sample LiDAR remote sensing analysis of conditions preceding the 2019-20 Australian wildfires.},
author = {Gale MG and Cary GJ and van Dijk AIJM and Yebra M},
year = {2023},
journal = {Journal of environmental management},
doi = {10.1016/j.jenvman.2023.119474},
url = {https://doi.org/10.1016/j.jenvman.2023.119474}
}RIS
TY - JOUR TI - Untangling fuel, weather and management effects on fire severity: Insights from large-sample LiDAR remote sensing analysis of conditions preceding the 2019-20 Australian wildfires. AU - Gale MG AU - Cary GJ AU - van Dijk AIJM AU - Yebra M PY - 2023 JO - Journal of environmental management DO - 10.1016/j.jenvman.2023.119474 UR - https://doi.org/10.1016/j.jenvman.2023.119474 ER -
APA
MG, G., GJ, C., AIJM, V. D., & M, Y. (2023). Untangling fuel, weather and management effects on fire severity: Insights from large-sample LiDAR remote sensing analysis of conditions preceding the 2019-20 Australian wildfires.. Journal of environmental management. https://doi.org/10.1016/j.jenvman.2023.119474
Source records
- pubmed · retrieved 2026-09-25T10:35:12.222Z