harmful-algal-blooms

There are 6 repositories under harmful-algal-blooms topic.

  • planktos

    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.

    Language:Python2200

  • Mr-Mathias-F/Chrysochromulina-leadbeateri-growth-rates

    Datasets from "Optimal growth conditions of the haptophyte Chrysochromulina leadbeateri causing massive fish mortality in Northern Norway"

    Language:R10

  • 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"

    Language:R1201

  • 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).

    Language:Python1

  • Gulf-IEA/WFS_bulletins

    Oceanographic bulletins for the West Florida Shelf produced from regular cruises

    0000
  • igarss2022_kamchatka_hab

    iod-ine/igarss2022_kamchatka_hab

    A remote sensing study in the reproducible research framework

    Language:R0110