Algal blooms are pervasive in many freshwater environments and can pose risks to the health safety of humans other organisms. However, monitoring tracking potentially harmful often relies on in-person observations by public. Remote sensing has proven useful augmenting situ algal concentration, but hurdles hinder efficient application end users. First, numerous approaches estimate aquatic chloro...

The extension and frequency of algal blooms in surface waters can be monitored using remote sensing techniques, yet knowledge of their vertical distribution is fundamental to determine total phytoplankton biomass and understanding temporal variability of surface conditions and the underwater light field. However, different vertical distribution classes of phytoplankton may occur in complex inla...

The large shallow eutrophic Lake Taihu in China has long suffered from eutrophication and toxic cyanobacterial blooms. Despite considerable efforts to divert effluents from the watershed, the cyanobacterial blooms still reoccur and persist throughout summer. To mitigate cyanobacterial bloom pollution risk, a large scale integrated monitoring and forecasting system was developed, and a series of...

There are at least eight different modes and mechanisms by which harmful phytoplankton species can cause mortality, physiological impairment, or other negative in situ effects. Their distinction from nonharmful phytoplankton taxa is clearly warranted. Increasing use of bloom descriptors such as “exceptional,” “unusual,” “nuisance,” and subjective reference to specific occurrences as blooms reve...

High-throughput pyrosequencing of SSU rDNA genes was used to obtain monthly snapshots of eukaryotic and bacterial diversity and community structure at two locations in Lake Texoma, a low salinity lake in the south central United States, over 1 year. The lake experienced two disturbance events (i) a localized bloom of Prymnesium parvum restricted to one of the locations that lasted from January ...

MODIS medium-resolution (250and 500-m) bands were successfully used to detect and map the distribution of a harmful phytoplankton bloom (HAB) in the Paracas Bay, Peru, that caused economic losses estimated at about $28.5 million. A Red-Green-Blue combination of bands 1, 4 and 3 was used to visually distinguish the HAB while the turbidity index, a semi-quantitative measure of the amount of parti...