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Peer-reviewedCC BYGeoHealth

Wildfire Drivers, Impacts, and Predictive Modeling: Opportunities in Sensing and Machine Learning

  • Jasmin Yujen Tung1
  • Ashok Mishra1
  • Mojtaba Sadegh2
  • Amitesh Sabut1
  • Amir Aghakouchak3
  • John Abatzoglou4
  • Naresh Devineni5
  • A. Sankarasubramanian6
6 affiliations
  1. 1Texas A&M University
  2. 2Boise State University
  3. 3Institute for Water, Environment, and Health (UNU‐INWEH) United Nations University
  4. 4University of California, Merced
  5. 5City University of New York (City College)
  6. 6North Carolina State University
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Cite

BibTeXRIS
BibTeX
@article{tung2026wildfire,
  title = {{Wildfire Drivers, Impacts, and Predictive Modeling: Opportunities in Sensing and Machine Learning}},
  author = {Jasmin Yujen Tung and Ashok Mishra and Mojtaba Sadegh and Amitesh Sabut and Amir Aghakouchak and John Abatzoglou and Naresh Devineni and A. Sankarasubramanian},
  journal = {GeoHealth},
  year = {2026},
  month = nov,
  url = {https://europepmc.org/article/PMC/PMC13753081},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Wildfire Drivers, Impacts, and Predictive Modeling: Opportunities in Sensing and Machine Learning
AU  - Jasmin Yujen Tung
AU  - Ashok Mishra
AU  - Mojtaba Sadegh
AU  - Amitesh Sabut
AU  - Amir Aghakouchak
AU  - John Abatzoglou
AU  - Naresh Devineni
AU  - A. Sankarasubramanian
PY  - 2026
DA  - 2026/11/01
JO  - GeoHealth
UR  - https://europepmc.org/article/PMC/PMC13753081
SN  - 2471-1403
ER  -