Given the recent advances in remote sensing analytics, cloud computing, and machine
learning, it is imperative to evaluate capabilities of remote sensing for water quality …

In the last few decades, researchers have developed a plethora of hyperspectral Earth
Observation (EO) remote sensing techniques, analysis and applications. While …

Freshwater ecosystems underpin global water and food security, yet are some of the most
endangered ecosystems in the world because they are particularly vulnerable to land …

Timely monitoring, detection and quantification of cyanobacterial blooms are especially
important for controlling public health risks and understanding aquatic ecosystem dynamics …

Harmful algal blooms (HABs) occur in most coastal regions worldwide, with microalgae
playing a major role in coastal waters. In recent decades, the number of algal blooms in …

Algae serves as a food source for a wide range of aquatic species; however, a high
concentration of inorganic nutrients under favorable conditions can result in the …

Cyanobacterial blooms are increasingly posing a severe threat to inland waters, particularly
at the land-sea interface where toxins can be transported downstream with subsequent …

Quantitative estimation is a key and challenging issue in water quality monitoring. Remote
sensing technology has increasingly demonstrated its potential to address these challenges …

Retrieval of the phycocyanin concentration (PC), a characteristic pigment of, and proxy for,
cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is …

Urban reservoirs are important for drinking water services and urban living. However,
potentially toxic cyanobacteria blooms are frequently present due to human pollution and …