Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire

Articles citing this paper

What determines variation in remotely sensed fire severity? Consideration of remote sensing limitations and confounding factors

Matthew G. Gale A * and Geoffrey J. Cary A
+ Author Affiliations
- Author Affiliations

A Fenner School of Environment & Society, Australian National University, Canberra, ACT 2600, Australia.

* Correspondence to: matthew.gale@anu.edu.au

International Journal of Wildland Fire 31(3) 291-305 https://doi.org/10.1071/WF21131
Submitted: 21 September 2021  Accepted: 2 February 2022   Published: 18 March 2022



8 articles found in Crossref database.

Wall-to-wall mapping of carbon loss within the Chornobyl Exclusion Zone after the 2020 catastrophic wildfire
Matsala Maksym, Myroniuk Viktor, Borsuk Oleksandr, Vishnevskiy Denis, Schepaschenko Dmitry, Shvidenko Anatoly, Kraxner Florian, Bilous Andrii
Annals of Forest Science. 2023 80(1).
Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2
Chatzopoulos-Vouzoglanis Konstantinos, Reinke Karin J., Soto-Berelov Mariela, Jones Simon D.
International Journal of Applied Earth Observation and Geoinformation. 2024 127 p.103673
Caution is needed across Mediterranean ecosystems when interpreting wall-to-wall fire severity estimates based on spectral indices
Fernández-Guisuraga José Manuel, Fernandes Paulo M., Marcos Elena, Beltrán-Marcos David, Sarricolea Pablo, Farris Massimiliano, Calvo Leonor
Forest Ecology and Management. 2023 546 p.121383
Predicting Spatially Explicit Composite Burn Index (CBI) from Different Spectral Indices Derived from Sentinel 2A: A Case of Study in Tunisia
Amroussia Mouna, Viedma Olga, Achour Hammadi, Abbes Chaabane
Remote Sensing. 2023 15(2). p.335
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
Gale Matthew G., Cary Geoffrey J., van Dijk Albert I.J.M., Yebra Marta
Journal of Environmental Management. 2023 348 p.119474
Characterizing Topographic Influences of Bushfire Severity Using Machine Learning Models: A Case Study in a Hilly Terrain of Victoria, Australia
Sharma Saroj Kumar, Aryal Jagannath, Shao Quanxi, Rajabifard Abbas
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023 16 p.2791
Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal
Fernández-Guisuraga José Manuel, Fernandes Paulo M.
Remote Sensing. 2023 15(3). p.768
A geographically flexible approach for mapping the Wildland-Urban Interface integrating fire activity data
Tikotzki Idit, Bar-Massada Avi, Levin Noam
Frontiers in Environmental Science. 2023 11

Committee on Publication Ethics

Abstract Full Text PDF (1.9 MB) Export Citation Get Permission

Share

Share on Facebook Share on Twitter Share on LinkedIn Share via Email