Remotely sensed data can increase the ability of water resources researchers and decision-
makers to monitor waterbodies more effectively. In recent decades, remote-sensing …

Remote sensing datasets offer a unique opportunity to observe spatial and temporal trends
in water quality indicators (WQIs), such as chlorophyll-a, salinity, and turbidity, across …

Discharge from basins joining a lake is the main factor determining the lake volume and
sediment inflow to the lake. Suspended sediment is an important parameter for describing …

To monitor sediment variations in the Chilika Lake, the Landsat-8 OLI data was used to
calibrate suspended sediment concentration (SSC) model. The relationship between remote …

Abstract Trophic State Index (TSI) of the Chilika Lake has been estimated using secchi disk
transparency (SDT) as well as satellite data. An algorithm was developed to estimate TSI …

It is impractical to monitor water quality more than a small fraction of lakes by conventional
field methods because of expense and time requirements. High resolution satellite image is …

This paper is aimed at demonstrating a genetic algorithm method and applying it to predict
the water quality of reservoir in Taiwan island using remote sensing data. Genetic algorithms …

This study proposes a methodology for monitoring concentrations of chlorophyll a (Chl-a)
and the state of eutrophics in small bays or in the immediate vicinity of the coast. This kind of …

Water quality and phytoplankton community structure at one offshore (Zege) and three near-
shore (Hospital, Resort and K. George) sites in the Southern Gulf of Lake Tana were …

Sufat (SO4) merupakan senyawa kimia yang terdapat di air maupun di tanah.
Keberadaannya menjadi faktor utama penyebab korosi bangunan beton khususnya di …