Emerging Methods for Early Detection of Forest Fires : Team ID - PNT2022TMID42321
Автор: Akash Jayaraj
Загружено: 2022-11-18
Просмотров: 60
Описание:
Hi everyone, This is a demo video of our project on IBM (Nalaiya Thiran).
Project Title : Emerging Methods for Early Detection of Forest Fires
Team ID : PNT2022TMID42321
Team Leader : Akash J
Team Members : Harshavardhan J
Parthasarathy B
Vaishnavi T
Vinoth R
Industry Mentor(s) Name : Shanthi
Faculty Mentor(s) Name : LATHA M
Project Description:
Forest fires are a major environmental issue, creating economic and ecological damage while endangering human lives. There are typically about 100,000 wildfires in the United States every year. Over 9 million acres of land have been destroyed due to treacherous wildfires. It is difficult to predict and detect Forest Fire in a sparsely populated forest area and it is more difficult if the prediction is done using ground-based methods like Camera or Video-Based approach. Satellites can be an important source of data prior to and also during the Fire due to its reliability and efficiency. The various real-time forest fire detection and prediction approaches, with the goal of informing the local fire authorities.
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