• An Artificial Neural Network Algorithm to Retrieve Chlorophyll a for Northwest European Shelf Seas from Top of Atmosphere Ocean Colour Reflectance 

      Hadjal, Madjid; Medina-Lopez, Encarni; Ren, Jinchang; Gallego, Alejandro; Mckee, David (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-12)
      Chlorophyll-a (Chl) retrieval from ocean colour remote sensing is problematic for relatively turbid coastal waters due to the impact of non-algal materials on atmospheric correction and standard Chl algorithm performance. Artificial neural networks (NNs) provide an alternative approach for retrieval of Chl from space and results for northwest European shelf seas over the 2002–2020 period are ...
    • Neural networks to retrieve in water constituents applied to radiative transfer models simulating coastal water conditions 

      Hadjal, Madjid; Paterson, Ross; McKee, David (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-16)
      Estimation of chlorophyll (CHL) using ocean colour remote sensing (OCRS) signals in coastal waters is difficult due to the presence of two other constituents altering the light signal: coloured dissolved organic material (CDOM) and mineral suspended sediments (MSS). Artificial neural networks (NNs) have the capacity to deal with signal complexity and are a potential solution to the problem. Here ...