Urbanization together with climate change is imposing growing stresses on the sustainable
development of major coastal cities around the world, particularly in develo** countries …

Cyanobacterial harmful algal blooms release toxins and form thick blanket layers on the
water surface causing widespread problems, including serious threats to human health …

Over the past decade, the global proliferation of cyanobacterial harmful algal blooms
(CyanoHABs) have presented a major risk to the public and wildlife, and ecosystem and …

A novel multi-source data fusion method based on Bayesian inference (BIF) was proposed
in this study to blend the advantages of in-situ observations and remote sensing estimations …

Phycocyanin (PC) is an indicator pigment of cyanobacteria in water. Monitoring the dynamic
variation of PC concentration in lakes by satellite remote sensing is of great significance for …

Remote sensing technologies offer a consistent, spatiotemporal approach to assess water
quality, which includes the detection, monitoring, and forecasting of cyanobacteria harmful …

Regular quality monitoring of inland water bodies is vital for identifying the areas with
deteriorating water quality. Satellite remote sensing has been used for obtaining long-term …

A data-driven approach to characterizing the risk of cyanobacteria-based harmful algal
blooms (cyanoHABs) was undertaken for the Ohio River. Twenty-five years of river …

Harmful algae blooms (HABs) have been reported with greater frequency in lakes across
New York State (NYS) in recent years. In situ sampling is used to assess water quality, but …

Harmful algal blooms (HABs) are increasingly a global concern and the issue of all fifty
states in the US as it poses a threat to human health and aquatic ecosystem. This study …