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Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties

Ming Shen, Juhua Luo, Zhigang Cao, Kun Xue, Tianci Qi, Jinge Ma, Dong Liu, Kaishan Song, Lian Feng, Hongtao Duan

2022Journal of Hydrology90 citationsDOI

Topics & Concepts

Random forestEnvironmental scienceAtmospheric correctionAlgorithmChlorophyllRemote sensingMathematicsGeologyComputer scienceReflectivityArtificial intelligenceChemistryPhysicsOpticsOrganic chemistryMarine and coastal ecosystemsWater Quality Monitoring and AnalysisWater Quality Monitoring Technologies
Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties | Litcius