Assessing risks and mitigating impacts of harmful algal blooms on mariculture and marine fisheries

AR Brown, M Lilley, J Shutler, C Lowe… - Reviews in …, 2020 - Wiley Online Library
Aquaculture is the fastest growing food sector globally and protein provisioning from
aquaculture now exceeds that from wild capture fisheries. There is clear potential for the …

A massive bloom of Karenia species (Dinophyceae) off the Kamchatka coast, Russia, in the fall of 2020

TY Orlova, AI Aleksanin, EV Lepskaya, KV Efimova… - Harmful Algae, 2022 - Elsevier
In the fall of 2020, a long-lasting and massive harmful algal bloom (HAB) with extensive
fields of yellow sea foam was observed in relatively cold waters (7–13° C) off the coasts of …

Karenia brevis bloom patterns on the west Florida shelf between 2003 and 2019: Integration of field and satellite observations

C Hu, Y Yao, JP Cannizzaro, M Garrett, M Harper… - Harmful Algae, 2022 - Elsevier
Harmful algal blooms of the toxic dinoflagellate Karenia brevis occur almost annually on the
West Florida Shelf (WFS) of the eastern Gulf of Mexico. To date, however, comprehensive …

Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager

A El-Habashi, J Bowles, R Foster, D Gray… - Journal of Quantitative …, 2021 - Elsevier
Airborne measurements of the linear polarization state of light were carried out over coastal
and open ocean conditions to study aerosol and water column properties and investigate …

Methodology and results of satellite monitoring of Karenia microalgae blooms, that caused the ecological disaster off Kamchatka Peninsula

A Alexanin, V Kachur, A Khramtsova, T Orlova - Remote Sensing, 2023 - mdpi.com
The environmental disaster in Kamchatka in the autumn of 2020 was caused by an
extensive bloom of harmful microalgae of the genus Karenia. A spectral shape algorithm …

Analyses of satellite ocean color retrievals show advantage of neural network approaches and algorithms that avoid deep blue bands

A El-Habashi, S Ahmed, M Ondrusek… - Journal of Applied …, 2019 - spiedigitallibrary.org
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 …

Estimation of chlorophyll-a concentration in complex coastal waters from satellite imagery

A Gilerson, M Malinowski, E Herrera… - Ocean Sensing and …, 2021 - spiedigitallibrary.org
Current Ocean Color (OC) algorithms for the estimation of chlorophyll-a concentration (Chla)
from satellite imagery, which are based primarily on 440, 490 and 550 nm bands, work well …

Overview of chlorophyll-a concentration retrieval algorithms from multi-satellite data

JE Park, K Park, YJ Park, HJ Han - Journal of the Korean earth …, 2019 - koreascience.kr
Abstract Since the Coastal Zone Color Scanner (CZCS)/Nimbus-7 was launched in 1978, a
variety of studies have been conducted to retrieve ocean color variables from multi-satellites …

Ecological Disaster off Kamchatka Peninsula: Satellite Monitoring of Microalgae Karenia Spp. Bloom

AI Alexanin, VA Kachur, TY Orlova, AV Khramtsova - 2022 - preprints.org
The environmental disaster in Kamchatka in the autumn of 2020 was caused by an
extensive bloom of harmful microalgae of the genus Karenia. A spectral shape algorithm …

Evaluation and comparison of JPSS VIIRS neural network retrievals of harmful algal blooms with other retrieval algorithms, validated against in-situ radiometric and …

S Ahmed, A El-Habashi, V Lovko… - Remote Sensing of the …, 2018 - spiedigitallibrary.org
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 …