Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …

Hyperspectral remote sensing, which retrieves the water quality parameters by direct high-
resolution analysis of the electromagnetic spectrum reflected from the water surface, has …

The rapid emergence of deep learning long-short-term-memory (LSTM) technique presents
a promising solution to algal bloom forecasting. However, the discontinuous and non …

The algal community structure is vital for aquatic management. However, the complicated
environmental and biological processes make modeling challenging. To cope with this …

The rapidly increasing world population and human activities accelerate the crisis of the
limited freshwater resources. Water quality must be monitored for the sustainability of …

In this study remote sensing was used as an early alert tool for chlorophyll-a changes in a
continental aquatic ecosystem in central Chile. To this end, 14 LANDSAT images of Laja …

Chlorophyll-a is one of the main indicators for water quality (WQ) analysis in environmental
monitoring of aquatic ecosystems. WQ degradation is mostly a result of the increase of the …

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

Quantitative prediction by unmanned aerial vehicle (UAV) remote sensing on water quality
parameters (WQPs) including phosphorus, nitrogen, chemical oxygen demand (COD) …

A robust and reliable chlorophyll-a (Chla) concentration algorithm is still lacking for optically
complex waters due to the lack of understanding of the bio-optical process. Machine …