Below are the papers I read for each idea this week. I also read more papers for my third idea, “Fire Spread Simulation” and found the cellular automata algorithm mentioned in one of the papers quite interesting. The basic idea behind the model is to break down the images of the forest fire into different cells and apply the same algorithms onto each cell, similar to divide and conquer. The authors have also developed an improved algorithm based on this model to not only predict how fire spreads but also trace the source of fire.

Improve Fire Identification Mapping and Monitoring Algorithm (FIMMA) 
[1]  Z. Li, W. Jiang, F. Wang, Q. Meng, X. Zheng, and B. Liu, “GIS based dynamic modeling of fire spread with heterogeneous cellular automation model and standardized emergency management protocol,” Proceedings of the 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management, EM-GIS 2017, 2017.
[2]  X. Xie, J. Wang, H. Qin, and X. Cheng, “The simulation and research of fire spread situation based on osg,” ACM International Conference Proceeding Series, pp. 156–159, 2019.

Fire Detection Using A Combination of Different Image Analysis Techniques

[1]  L. Giglio, W. Schroeder, and C. O. Justice, “The collection 6 MODIS active fire detection algorithm and fire products,” Remote Sensing of Environment, vol. 178, pp. 31–41, jun 2016.
[2]  Y. Long and X. Hu, “Spatial partition-based particle filtering for data assimilation inwildfire spread simulation,” ACM Transactions on Spatial Algorithms and Systems, vol. 3, no. 2, aug 2017.

Fire Spread Simulation 
[1]  X. Rui, S. Hui, X. Yu, B. Wu, and G. Zhang, “Forest fire spread simulation algorithm based on cellular automata,” Natural Hazards, vol. 91, no. 1, pp. 309–319, 2018. 
[2]  S. K. Singh and S. Kanga, “Forest Fire Simulation Modeling using Remote Sensing & GIS,” International Journal of Advanced Research in Computer Science, vol. 8, no. 5. [Online]. Available: https://www.researchgate.net/publication/325848449