The use of spectral and textural features in crop type mapping using sentinel-2a images: A case study, çukurova region, Turkey

Keyphrases

• Turkey 100%
• Sentinel-2 Images 100%
• Textural Features 100%
• Crop Mapping 100%
• Spectral Features 100%
• Crop Type 40%
• Classification Accuracy 20%
• Remote Sensing 20%
• Satellite Images 20%
• Support Vector Machine 20%
• Rainfall 20%
• Adana 20%
• Overall Accuracy 20%
• Agricultural Fields 20%
• Classification Methods 20%
• Kappa Coefficient 20%
• Sentinel-2 20%
• Thematic Maps 20%
• Object Classification 20%
• Two-level 20%
• Agricultural Products 20%
• Space Technology 20%
• Gray-level Co-occurrence 20%
• Agricultural Condition 20%
• Soil Climate 20%
• High Repetition Rate 20%
• Spatialoral 20%
• Sustainable Agricultural Management 20%
• Texture Information 20%
• Fertile Soil 20%
• Leading Sectors of the Economy 20%
• Timely Monitoring 20%

Agricultural and Biological Sciences

• Case Study 100%
• Support Vector Machine 100%
• Thematic Map 100%
• Sustainable Agriculture 100%
• Agricultural Management 100%
• Remote Sensing 100%

Earth and Planetary Sciences

• Sentinel-2 100%
• Satellite Image 50%
• Standard Deviation 50%
• Agricultural Management 50%
• Alternative Agriculture 50%
• Remote Sensing 50%
• Support Vector Machine 50%