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 …

River corridors play a crucial environmental, economic, and societal role yet also represent
one of the world's most dangerous natural hazards, making monitoring imperative to …

A consistent dataset of lake surface water temperature, ice cover, water-leaving reflectance,
water level and extent is presented. The collection constitutes the Lakes Essential Climate …

Various types of floating algae have been reported in open oceans and coastal waters, yet
accurate and timely detection of these relatively small surface features using traditional …

Abstract The Middle and Lower Yangtze River (MLY) basin holds the most freshwater in East
Asia; however, the conditions of basin-scale water turbidity remain unknown. In this work, a …

We have developed and validated a robust empirical model for estimating the
concentrations of total suspended matter (TSM) in Lake Taihu (China), a large turbid inland …

A novel approach was used with data from the Moderate Resolution Imaging
Spectroradiometer (MODIS) to characterize the intense blooms of cyanobacteria (primarily …

Monitoring water quality of inland lakes and reservoirs is a great concern for the public and
government in China. Water turbidity is a reliable and direct indicator that can reflect the …

The primary advantage of the Geostationary Ocean Color Imager (GOCI), the world's first
geostationary ocean color observation satellite, over other ocean color satellite imagers is …

Cloud and cloud shadow detection is a necessary preprocessing step for optical remote
sensing applications because of the huge negative influence cloud and cloud shadow can …