Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling
Marina Ranghetti, Mirco Boschetti, Luigi Ranghetti, Giulia Tagliabue, Cinzia Panigada, Marco Gianinetto, Jochem Verrelst, Gabriele Candiani
Abstract
= 0.80, respectively). The CNC-PNU model was then applied to actual PRISMA images acquired in 2020. The results showed that the estimated PNU values are within the expected ranges, and the temporal trends are compatible with plant phenology stages.
Topics & Concepts
Hyperspectral imagingRemote sensingCanopyAtmospheric radiative transfer codesEnvironmental scienceNitrogenPrecision agricultureEarth observationMathematicsComputer scienceAgricultureRadiative transferGeographySatelliteChemistryEngineeringAerospace engineeringQuantum mechanicsPhysicsArchaeologyOrganic chemistryRemote Sensing in AgricultureLand Use and Ecosystem ServicesRemote Sensing and LiDAR Applications