Table 5.

Segmentation-based methods for forest fire monitoring and surveillance.

Authors	Year	Method	Architecture	Accuracy	Application	Augmentation	Type of Data
Toan et al. [65]	2019	CNN	3D CNN	F1-score - 94%	Segmentation	Yes	Satellite Image
Wang et al. [64]	2019	CNN	SqueezeNet	Accuracy - 94.2%	Segmentation	No	Image
Li et al. [52]	2021	CNN	F-Unet, U-net	MPA - 94.77%	Segmentation	No	Image
Seydi et al. [6]	2022	CNN	Deep CNN	Accuracy - 99.98	Segmentation	No	Satellite Image
Sun [79]	2022	CNN	Fully - CNN, U-Net, U-Net Light	F1-score - 0.928	Segmentation	No	Satellite Image