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

Australian Cyanotoxins Thresholds for Drinking Water Fact Sheet

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

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