Publication: ICEPTP'22 (Lisbon, Portugal), CSEE'22
Abstract
Forests are the most important part of terrestrial life as they provide shelter to 80% of terrestrial life and provide them with food as well. Forest fires are a serious threat to flora and fauna followed by deforestation. Various preventive measures are taken to avoid such incidents from taking place; still, many such incidents happen every year causing long-term damage to surrounding biology, environment, and wildlife. This paper proposes a large-scale monitoring system and deep learning-based forest fire detection model that can detect forest fires from video frames captured by UAV drones. The proposed CNN model successfully detects forest fires with 97.29% accuracy. This will help to control the forest fires before they get out of control.
Keywords
Forest Fire prediction, RTH index, RCNN, UAV