Water pollution has become one of the most serious issues threatening water environments,
water as a resource and human health. The most urgent and effective measures rely on …

Remotely sensed data can reinforce the abilities of water resources researchers and
decision makers to monitor waterbodies more effectively. Remote sensing techniques have …

Monitoring of inland water quality is of significant importance due to the increase in water
quality related issues, especially within the Midwestern United States. Traditional monitoring …

The empirical approach of remote sensing has a proven capability to provide timely and
accurate information on inland and near-coastal transitional waters. This article gives a …

Monitoring and quantifying suspended sediment concentration (SSC) along major fluvial
systems such as the Missouri and Mississippi Rivers provide crucial information for …

Modeling inland water quality by remote sensing has already demonstrated its capacity to
make accurate predictions. However, limitations still exist for applicability in diverse regions …

Quantification of quality parameters of inland and near shore waters by means of remote
sensing has encountered varying degrees of success in spite of the high variability of the …

The objectives of this study were to accurately model relationships between spectral
reflectance and water-quality parameters, including blue-green algae phycocyanin …

Although past work has noted that contrasts in turbidity often are detectable on remotely
sensed images of rivers downstream from confluences, no systematic methodology has …

This article overviews recent advances in studies of landscape-water quality relationships
using remote sensing techniques. With the increasing feasibility of using remotely-sensed …