algal-bloom

Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery

The influence of time scale on autocorrelation as an early warning indicator of regime shift

Investigation into the South Australian Algal Bloom 2025 (+ 2013)

Detecting harmful algal blooms using Sentinel-2 satellite imagery, Google Earth Engine, and K-Means clustering

An interactive map of algal blooms

In this repository, you find code and explanations to quantify the net community production (NCP) during a cyanobacteria bloom in the Baltic Sea through vertically resolved pCO2 measurements.

Hybrid CNN-LSTM Framework for Algal Bloom Detection in Water Quality Management using Deep Learning.

Solution for EODHackathon (Space App Challenges 2021) for "Looking at the bigger picture" challenge. (Global Finalist Award Winning Team | Honor Mention award by NASA, ESA & JAXA)

Differential equation model of algal bloom dynamics in Lake Chapala, Mexico, including parameter calibration, analysis, and visualization of population thresholds.

Analyse, optimise and visualise macro-scale mussel farm structures in Grasshopper. Fetch Copernicus satellite data for field data (t°, salinity, chlorophyll, oxygen etc). Provide location in WGS84, time and site-specific ecological constants.