Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Keyphrases

• Optical Data 100%
• Synthetic Aperture Radar Imagery 100%
• Thermal Data 100%
• Multi-sensor 100%
• L-band 100%
• Mediterranean pine Forests 100%
• Burned Area Detection 100%
• C-band 66%
• Land Surface Temperature 66%
• Synthetic Aperture Radar Image 66%
• Normalized Burn Ratio 66%
• ALOS-2 66%
• Burned Area Mapping 66%
• Backscatter 33%
• Temperature Data 33%
• Optical Image 33%
• Pixel-based 33%
• Random Forest 33%
• Landsat 33%
• Interferometric Synthetic Aperture Radar (InSAR) 33%
• Sentinel-1 33%
• Overall Accuracy 33%
• Kappa Coefficient 33%
• Sentinel-2 33%
• Radar Technique 33%
• Burned Area 33%
• Thermo-optic 33%
• Feature Combination 33%
• Optical Aperture 33%
• Pinus Brutia 33%
• Reflectance Value 33%
• Area Information 33%
• Impact on Ecosystems 33%
• Turkish Red pine 33%
• Mediterranean Ecosystems 33%
• Remote Sensing Sensors 33%
• Coherence Attribute 33%
• Landsat 8 Imagery 33%
• Image Classification Methods 33%

Earth and Planetary Sciences

• Synthetic Aperture Radar 100%
• C Band 50%
• Land Surface Temperature 50%
• ALOS 50%
• Reflectance 25%
• Landsat 8 25%
• Sentinel-2 25%
• Image Classification 25%
• Landsat 25%
• Remote Sensing 25%