1. Bakhshaii, A., Johnson, E.: A review of a new generation of wildfire-atmosphere modeling. Can. J. For. Res. 49(6), 565–574 (2019). https://doi.org/10.1139/cjfr-2018-0138
2. Barmpoutis, P., Papaioannou, P., Dimitropoulos, K., Grammalidis, N.: A review on early forest fire detection systems using optical remote sensing. Sensors 20(22), 6442 (2020)
3. Batista, M., Oliveira, B., Chaves, P., Ferreira, J.C., Brandão, T.: Improved real-time wildfire detection using a surveillance system. In: Proceedings of the World Congress on Engineering 2019 WCE 2019, Lecture Notes in Engineering and Computer Science, vol. 0958, July 2019
4. Fonte, C.C., Cardoso, A., Estima, J., Almeida, J.P.D., Patriarca, J.: The FireLoc project: identification, positioning and monitoring forest fires with crowdsourced data. In: FIG e-Working Week 2021, p. 11192 (2021)
5. Harkat, H., Nascimento, J.M.P., Bernardino, A., Thariq Ahmed, H.F.: Assessing the impact of the loss function and encoder architecture for fire aerial images segmentation using Deeplabv3+. Remote Sens. 14(9) (2022). https://doi.org/10.3390/rs14092023