Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muğla-Bodrum, Turkey

• Published in: 2023 10th International Conference on Recent Advances in Air and Space Technologies (RAST) pp. 1 - 5
• Main Authors: Tonbul, Hasan, Yilmaz, Elif Ozlem, Kavzoglu, Taskin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07.06.2023
• Subjects: Analytical models; Atmospheric modeling; burned area; Convolutional Neural Network (CNN); Deep learning; Extreme Gradient Boosting (XGBoost); Fires; Machine learning algorithms; Measurement; remote sensing; Vegetation mapping; wildfire

As one of the main natural disasters affecting the natural cycle of vegetation, wildfires cause deterioration of natural ecosystems and the destruction of forests. Every year, a large quantity of forest is destroyed by wildfires all over the world. Therefore, precise and timely information about the...