Effective classification of cyanobacteria blooms severity of small inland water bodies with AI by integrating Sentinel-2 data from GEE, DEM data from MPC and climate data from NOAA

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.

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).

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

Evaluating the impact of Gaussian Copula-based synthetic data augmentation on ML models for Harmful Algal Bloom detection

A low-cost, in situ hyperspectral system for monitoring harmful algal blooms in freshwater lakes.

Comparative study on synthetic data generation methods (Gaussian Copula, Conditional GAN, LLM Agents) to improve early detection of harmful algal blooms

BloomOS / CyanoHAB Protocol — Process governance architecture for harmful algal bloom detection and cyanotoxin risk monitoring. Deterministic validator pipeline + immutable Flight Recorder audit trail. Sovereign Process Architecture Inc. specification (Corp. 1781822-0).

A remote sensing study in the reproducible research framework

Operational HAB forecasting for the San Jose Lagoon (in San Juan, PR) using weekly chlorophyll-a regression and bloom-risk classification.

Code and data reproducing 'Lake depth governs the multi-stressor climate vulnerability of Mediterranean lakes' (submitted to Hydrobiologia)

About Exploratory R workflow to map Harmful Algal Bloom (HAB) species occurrences from OBIS across Arctic Large Marine Ecosystems (LMEs), with adaptive WKT simplification for polar spatial queries.

Oceanographic bulletins for the West Florida Shelf produced from regular cruises

Snakemake pipeline to reproduce the results in the forthcoming paper "One week ahead prediction of harmful algal blooms in Iowa lakes"

Public environmental monitoring dashboard for Clear Lake, CA — integrating USGS hydrology, FHABS HAB reports, and OSM geospatial data

Open water-quality dataset: 13,126 US lakes and beaches with cyanobacteria + bacteria swim-safety verdicts. CC-BY. https://swimzone.app

Machine learning analysis of Karenia brevis bloom dynamics in Southwest Florida

Physics-Conditioned Token Aggregation (PCTA): conditioning frozen SAR foundation-model (TerraMind) patch tokens on acquisition physics for cyanobacterial bloom estimation on Lough Neagh. Paper companion code.