Estimation of pmx concentrations from landsat 8 oli images based on a multilayer perceptron neural network

Keyphrases

• Image-based 100%
• Spatial Distribution 100%
• Remote Sensing Image 100%
• Landsat 8 OLI 100%
• Multilayer Perceptron Neural Network (MLPNN) 100%
• Landsat 8 Operational Land Imager 100%
• Particulate Matter 2.5 (PM2.5) 100%
• IncL 100%
• PM10 100%
• Aerosol Optical Depth 100%
• Depth Data 50%
• Spatial Resolution 50%
• Research-based 50%
• Urban Areas 50%
• Satisfactory Performance 50%
• Estimation Accuracy 50%
• Coefficient of Determination 50%
• Kriging Interpolation 50%
• Root Mean Square Error 50%
• Environmental Issues 50%
• Satellite Observations 50%
• China's Cities 50%
• Zoning Method 50%
• Reflectance Data 50%
• Google Earth Engine Platform 50%
• Concentration Estimation 50%
• PM10 Concentration 50%
• PM2.5 Concentration 50%
• Regression Analysis Method 50%
• Beijing China 50%
• North China 50%
• Time Parameter 50%
• Nonlinear Regression Analysis 50%

Earth and Planetary Sciences

• Reflectance 100%
• Self Organizing Systems 100%
• Landsat 8 100%
• China 50%
• Particular Matter 2.5 50%
• Spatial Distribution 33%
• Remote Sensing 33%
• Interpolation 16%
• Kriging 16%
• Spatial Resolution 16%
• Root-Mean-Square Error 16%
• Environmental Issue 16%
• Satellite Observation 16%
• Google Earth Engine 16%