harmful-algal-blooms
There are 6 repositories under harmful-algal-blooms topic.
cee8/planktos
Planktos is an image recognition model tailored for classifying various species of phytoplankton. Built using cutting-edge machine learning algorithms, this tool enables researchers and environmentalists to automate and accelerate the identification process, enhancing studies in marine biology and ecology.
Mr-Mathias-F/Chrysochromulina-leadbeateri-growth-rates
Datasets from "Optimal growth conditions of the haptophyte Chrysochromulina leadbeateri causing massive fish mortality in Northern Norway"
pommevilla/one_week_ahead
Snakemake pipeline to reproduce the results in the forthcoming paper "One week ahead prediction of harmful algal blooms in Iowa lakes"
Tonyhrule/Ensemble-ML-for-HABs-Detection
An ensemble-based machine learning approach for predicting corrected Chlorophyll-a concentrations, trained with real historical data and enhanced by synthetic data generated using agents with LLM, providing a scalable and cost-effective solution for early detection of harmful algal blooms (HABs).
Gulf-IEA/WFS_bulletins
Oceanographic bulletins for the West Florida Shelf produced from regular cruises
iod-ine/igarss2022_kamchatka_hab
A remote sensing study in the reproducible research framework