Christ, S.; Kraaij, T.; Geldenhuys, C.J.; de Klerk, H.M.
Predicting Persistent Forest Fire Refugia Using Machine Learning Models with Topographic, Microclimate, and Surface Wind Variables. ISPRS Int. J. Geo-Inf. 2025, 14, 480.
https://doi.org/10.3390/ijgi14120480
AMA Style
Christ S, Kraaij T, Geldenhuys CJ, de Klerk HM.
Predicting Persistent Forest Fire Refugia Using Machine Learning Models with Topographic, Microclimate, and Surface Wind Variables. ISPRS International Journal of Geo-Information. 2025; 14(12):480.
https://doi.org/10.3390/ijgi14120480
Chicago/Turabian Style
Christ, Sven, Tineke Kraaij, Coert J. Geldenhuys, and Helen M. de Klerk.
2025. "Predicting Persistent Forest Fire Refugia Using Machine Learning Models with Topographic, Microclimate, and Surface Wind Variables" ISPRS International Journal of Geo-Information 14, no. 12: 480.
https://doi.org/10.3390/ijgi14120480
APA Style
Christ, S., Kraaij, T., Geldenhuys, C. J., & de Klerk, H. M.
(2025). Predicting Persistent Forest Fire Refugia Using Machine Learning Models with Topographic, Microclimate, and Surface Wind Variables. ISPRS International Journal of Geo-Information, 14(12), 480.
https://doi.org/10.3390/ijgi14120480