Determination of olive trees with multi-sensor data fusion

Keyphrases

• Sentinel-2 100%
• Olive Tree 100%
• Multi-sensor Fusion 100%
• Classification Accuracy 66%
• Sentinel-1 66%
• Sentinel-2 Satellite Images 66%
• Fused Data 66%
• Turkey 33%
• Global Warming 33%
• Remote Sensing 33%
• Satellite Images 33%
• SAR Data 33%
• Product Quality 33%
• Agriculture 33%
• Aegean 33%
• Data Combination 33%
• Overall Accuracy 33%
• Sentinel-2 Images 33%
• Production Capacity 33%
• Climatic Change 33%
• Sigma Naught 33%
• Accuracy Improvement 33%
• Continuous Monitoring 33%
• Mediterranean Region 33%
• Mediterranean Countries 33%
• Time Series Classification 33%
• Sentinel-1 Satellite 33%
• Agricultural Products 33%
• Phenology 33%
• Olive 33%
• Image Time Series 33%
• Random Forest Classification 33%
• Satellite NDVI 33%
• Supervised Random Forest 33%
• Decibel 33%
• Sustainable Agricultural Production 33%
• Popular 33%
• NDVI Index 33%

Earth and Planetary Sciences

• Sentinel-2 100%
• Multisensor Fusion 100%
• Satellite Image 60%
• Time Series 40%
• Global Warming 20%
• Climate Change 20%
• Synthetic Aperture Radar 20%
• Agricultural Production 20%
• Agricultural Product 20%
• Decibel 20%
• Remote Sensing 20%