Reduced water quality due to the eutrophication process causes large economic losses
worldwide. Multi-source remotely-sensed water quality monitoring can help provide effective …

We describe the application of a Neural Network (NN) previously developed by us, to the
detection and tracking, of Karenia brevis Harmful Algal Blooms (KB HABs) that plague the …

We have previously shown the advantage of using neural network (NN) inversion algorithms
over other ocean color (OC) algorithms in Visible Infrared Imaging Radiometer Suite satellite …

Accurate estimation of the diffuse attenuation coefficient of photosynthetically active
radiation, K_d (PAR), is critical for understanding and modeling key physical, chemical, and …

This study investigates how the number of data collected for algorithm development in
typical case-1 waters and optically complex cases can affect the remote sensing of ocean …

We apply a neural network (NN) technique to detect/track Karenia brevis harmful algal
blooms (KB HABs) plaguing West Florida shelf (WFS) coasts from Visible-Infrared Imaging …

New approaches are described that use of the Ocean Color Remote Sensing Reflectance
readings (OC Rrs) available from the existing Visible Infrared Imaging Radiometer Suite …

Topic 1. Neural networks retrievals of harmful algal blooms in West Florida Shelf and effects
of temporal variations: Neural Networks (NNs) are applied to the detection and delineation …

We examine the potential for ocean color (OC) retrievals using a neural network (NN)
technique recently developed by us to make up for the lack of a 678 nm florescence band on …

Preliminary results of previous work had shown a Neural Network (NN) technique
developed by us as effective in detecting Karenia brevis Harmful Algal Blooms (KB HABs) …