Remote Sensing Detection of Algal Blooms in a Lake Impacted by Petroleum Hydrocarbons

Remote Sensing Models of Algal Blooms and Cyanobacteria in Lake Champlain

A novel remote sensing algorithm to quantify phycocyanin in cyanobacterial algal blooms

We present a novel three-band algorithm (PC3) to retrieve phycocyanin (PC) pigment concentration in cyanobacteria laden inland waters. The water sample and remote sensing reflectance data used for PC3 calibration and validation were acquired from highly turbid productive catfish aquaculture ponds. Since the characteristic PC absorption feature at 620 nm is contaminated with residual chlorophyll...

Two-decade reconstruction of algal blooms in China's Lake Taihu.

The algal blooming in the inland lakes has become a critically important issue for its impacts not only on local natural and social environments, but also on global human community. However, the occurrences of blooming on larger spatial scale and longer time scale have rarely been studied. As the third largest freshwater lake in China, Lake Taihu has drawn increasing attention from both public ...

Remote sensing of algal blooms using a turbidity-free function for near-infrared and red signals

This article presents a method for realtime mapping of algal blooms in turbid coastal waters using the remote sensing reflectance of red band (Channel 1, 580-680 nm) and near-infrared band (Channel 2, 720-1100 nm) of the AVHRR sensor on the NOAA series satellites. A turbidity-free function for near-infrared and red signals, α0 = (bb/bb)(a/ a) based on the first order bb/(a+bb) model deducing eq...

Satellite Remote Sensing of Harmful Algal Blooms (HABs) and a Potential Synthesized Framework

Harmful algal blooms (HABs) are severe ecological disasters threatening aquatic systems throughout the World, which necessitate scientific efforts in detecting and monitoring them. Compared with traditional in situ point observations, satellite remote sensing is considered as a promising technique for studying HABs due to its advantages of large-scale, real-time, and long-term monitoring. The p...