HOW EFFICIENT CAN SENTINEL-2 DATA HELP SPATIAL MAPPING OF MUCILAGE EVENT IN THE MARMARA SEA?

Keyphrases

• Sea of Marmara 100%
• Sentinel-2 Data 100%
• Chlorophyll a (Chl a) 100%
• In Situ Measurements 100%
• Mucilage 100%
• Spatial Mapping 100%
• Mucilage Event 100%
• In Situ 66%
• Water Quality Assessment 66%
• Turkey 33%
• Climate Change 33%
• Remote Sensing Data 33%
• Point-based 33%
• Accuracy Assessment 33%
• Spatial Distribution 33%
• Satellite Images 33%
• Water Quality 33%
• Urbanization 33%
• Marmara 33%
• Sentinel-2 Satellite Images 33%
• Two-parameter 33%
• Turbidity 33%
• Gulf of Gemlik 33%
• Climatic Factors 33%
• Research Councils 33%
• Technological Research 33%
• Marine Monitoring 33%
• Anthropogenic Factors 33%
• Model Selection 33%
• Monitoring Program 33%
• F-statistics 33%
• Assessment Measures 33%
• Turbidity Estimation 33%
• Scenario Variables 33%
• Environment Change 33%
• T-statistic 33%
• Ministry of Environment 33%
• Univariate Regression Analysis 33%
• Microbiological Factors 33%

Earth and Planetary Sciences

• Sentinel-2 100%
• In Situ Measurement 100%
• Spatial Mapping 100%
• Turbidity 66%
• Climate Change 33%
• Accuracy Assessment 33%
• Satellite Image 33%
• Spatial Distribution 33%
• Pollution Monitoring 33%
• Satellite Imagery 33%
• Feasibility Study 33%
• Remote Sensing 33%
• Marine Pollution 33%
• Chlorophyll 33%

Physics

• Sentinel-2 100%
• In Situ Measurement 100%
• Spatial Distribution 33%