Abstract Clean Water and Sanitation, the sixth goal of Sustainable Development Goals
(SDGs 6) is a call for action by the United Nations aiming at balancing the water cycle for …

This review paper adopts bibliometric and meta-analysis approaches to explore the
application of supervised machine learning regression models in satellite-based water …

Multispectral images make it possible to retrieve water quality parameters over a wide range
and long time series by remote sensing. The robustness of traditional supervised machine …

Chlorophyll-a (Chl-a) is an important parameter of water bodies, but due to the complexity of
optics in water bodies, it is currently difficult to accurately predict Chl-a concentration in …

Algal blooms are pervasive in many freshwater environments and can pose risks to the
health and safety of humans and other organisms. However, monitoring and tracking of …

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 …

Coupling remote sensing with microbial omics-based approaches provides a promising new
frontier for scientists to scale microbial interactions across space and time. These data-rich …

Abstract Study region The Honghu Lake (HHL) and Changhu Lake (CHL) in middle China.
Study focus Large-scale and high-precision estimation of water quality parameters (WQPs) …

The lack of an orange band (∼ 620 nm) in the imagery captured by Landsat-8/9 and
Sentinel-2 restricts the detection and quantification of harmful cyanobacterial blooms in …

Mapping river water quality at a basin scale with satellite image data represents a
tremendous technical challenge, since traditional empirical remote sensing models …