Plinius Conference Abstracts
Vol. 18, Plinius18-12, 2024, updated on 11 Jul 2024
https://doi.org/10.5194/egusphere-plinius18-12
18th Plinius Conference on Mediterranean Risks
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessing and Predicting Forest Fires Burn Severity: A High-Resolution Approach Using the Global Forest Burn Severity Dataset

Kang He1,2, Xinyi Shen3, and Emmanouil Anagnostou1,2
Kang He et al.
  • 1UCONN, Civil and Environmental Engineering, Storrs, United States of America (manos@uconn.edu)
  • 2Eversource Energy Center, University of Connecticut, Storrs, CT 06269, USA
  • 3School of Freshwater Sciences, University of Wisconsin, Milwaukee, Milwaukee, WI 53204, USA

How to cite: He, K., Shen, X., and Anagnostou, E.: Assessing and Predicting Forest Fires Burn Severity: A High-Resolution Approach Using the Global Forest Burn Severity Dataset, 18th Plinius Conference on Mediterranean Risks, Chania, Greece, 30 Sep–3 Oct 2024, Plinius18-12, https://doi.org/10.5194/egusphere-plinius18-12, 2024.

This abstract has been withdrawn on 07 Oct 2024.