Real Time Monitoring of Forest Fires and Wildfire Spread Prediction

Real Time Monitoring of forest fires involves the use of technology, such as satellites and sensors, to detect and track the location and spread of forest fires in near real-time. This information can be used to alert authorities and help them respond quickly to the fire, as well as to predict the likelihood of the fire spreading to a certain area. Wildfire spread prediction, on the other hand, involves the use of advanced algorithms and machine learning techniques to analyze data on past forest fires and their impacts, in order to predict the likely extent of a current or future fire. This can help authorities and other stakeholders plan for the management and mitigation of the fire, as well as for the recovery and rehabilitation of affected areas. Together, real-time monitoring and burnt area prediction can provide valuable information and support for effective forest fire management and response.