CyanoLakes undertakes research and development to continually improve its product offering the areas of bio-optical remote sensing, validation and development of satellite products, and applied water remote sensing. If you require our scientific expertise for your research project, please contact us.

Resources

CyanoLakes bio-optical database on GitHub

 

Forecasting model GitHub repository 

 

Tools for the CyanoLakes API 

Research projects

Please click on the links below for more information on our current research projects:

 

The Earth Observation National Eutrophication Monitoring Programme – Phase II – Water Research Commission (2020-2022)

 

Wader technology demonstrators – Water Research Commission (2020-2021)

 

The Earth Observation National Eutrophication Monitoring Programme – Water Research Commission (2015-2018)

 

Sentinel-3 Validation for Water Resources Protection – Water Research Commission (2016-2018)  – final report

 

CyanoLakes Project – European Commission (2016-2017)

Publications

Read about our technology in this select list of publications:

The CyanoLakes mobile app: Weather-like information for lakes from satellite imagery

 

Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets: Successes and challenges

 

Eutrophication and cyanobacteria in South Africa’s standing water bodies: A view from space, South African Journal of Science

 

An algorithm for detecting trophic status (chlorophyll-a), cyanobacterial-dominance, surface scums and floating vegetation in inland and coastal waters, Remote Sensing of Environment

 

Improved algorithm for routine monitoring of cyanobacteria and eutrophication in inland and near-coastal waters, Remote Sensing of Environment

 

Eutrophication and cyanobacterial blooms in South African inland waters: 10 years of MERIS observations. Remote Sensing of Environment

 

Distinguishing cyanobacteria from algae in optically complex inland waters using a hyperspectral radiative transfer inversion algorithm.

 

Elsevier Book Chapter: Bio-optical modeling of phytoplankton chlorophyll-a. In Bio-optical modeling and remote sensing of inland waters.

 

A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters

 

Near-term forecasting of cyanobacterial and harmful algal blooms in lakes using simple univariate methods with satellite remote sensing data