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Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine Learning Approaches
 

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Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine Learning Approaches
Leonardo F. Arias-Rodriguez,Z. Duan,R. Sepúlveda,Sergio I. Martínez-Martínez,M. Disse
Remote. Sens.
2020

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Sample (n) Parameter Model/Algorithm Formula r^2 RMSE Study Area Satellite Reference


Formula Details


Sample (n) Parameter Model/Algorithm Formula r^2 RMSE Study Area Satellite Reference
96 SDD Linear Regression b1, b3, b4, b5, b6, b7, b8, b9, b10 0.78 0.15 Valle de Bravo Reservoir [Mexico] MERIS
96 SDD Random Forest Regression b1, b2, b4, b5, b6, b8, b10 0.66 0.2 Valle de Bravo Reservoir [Mexico] MERIS
96 SDD Support Vector Regression b3, b4, b5, b6, b8 0.75 0.17 Valle de Bravo Reservoir [Mexico] MERIS
96 SDD Gaussian Processes Regression b4, b5, b6, b7, b8 0.81 0.15 Valle de Bravo Reservoir [Mexico] MERIS
96 Turbidity Linear Regression b1, b2, b3, b4, b5, b6, b7,b8 0.84 1.12 Valle de Bravo Reservoir [Mexico] MERIS
96 Turbidity Random Forest Regression b2, b5, b8, b9, b10, b13 0.78 1.24 Valle de Bravo Reservoir [Mexico] MERIS
96 Turbidity Support Vector Regression All Bands 0.67 1.58 Valle de Bravo Reservoir [Mexico] MERIS
96 Turbidity Gaussian Processes Regression b2, b5, b12, b13, b14 0.86 0.95 Valle de Bravo Reservoir [Mexico] MERIS