A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters
Riccardo Scodellaro, Ilaria Cesana, Laura D’Alfonso, Margaux Bouzin, Maddalena Collini, Giuseppe Chirico, Roberto Colombo, F. Miglietta, Marco Celesti, Dirk Schuettemeyer, Sergio Cogliati, Laura Sironi
Topics & Concepts
Remote sensingPhasorComputer scienceSet (abstract data type)FluorescenceEnvironmental scienceArtificial intelligenceMachine learningGeologyPhysicsOpticsPower (physics)Electric power systemProgramming languageQuantum mechanicsRemote Sensing in AgriculturePlant Water Relations and Carbon DynamicsUrban Heat Island Mitigation