Investigating the potential of remote sensing-based machine-learning algorithms to model Secchi-disk depth, total phosphorus, and chlorophyll-a in Lake Urmia
Amirsepehr Shamloo, Somayeh Sima
Topics & Concepts
Secchi diskPhosphorusChlorophyll aEnvironmental scienceAlgorithmRemote sensingHydrology (agriculture)Computer scienceGeologyNutrientChemistryEcologyBiologyEutrophicationBotanyGeotechnical engineeringOrganic chemistryMarine and environmental studiesWater Quality and Pollution AssessmentAquatic Ecosystems and Phytoplankton Dynamics