Sentinel‐2A/MSI (S2A) and Landsat‐8/OLI (L8) data products present a new frontier for the
assessment and retrieval of optically active water quality parameters including chlorophyll‐a …

A methodology to estimate surface water quality using remote sensing is presented based
on Landsat satellite imagery and in situ measurements taken every six months at four …

Remote sensing plays a crucial role in modeling surface water quality parameters (WQPs),
which aids spatial and temporal variation assessment. However, existing models are often …

Remote sensing provides a synoptic view of the earth surface that can provide spatial and
temporal trends necessary for comprehensive water quality (WQ) monitoring and …

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 …

The quality of water is traditionally assessed by the collection of physico-chemical
parameters, ie, pH, turbidity, dissolved oxygen of the water bodies. However, the variations …

The trophic state index (TSI) is generally accepted as an indicator of the trophic status of
inland water bodies. Regular monitoring of the trophic status of a water body is vital for …

Krishnagiri Reservoir exhibits a hypereutrophic status and continuously receives external
sediment and nutrient loads, in addition to its internal phosphorus loading, both affecting the …

ABSTRACT Al-Attar, I. and Almutawa, J., 2024. Estimation of dissolved oxygen levels using
Landsat 8 images: Application to Kuwait Territorial waters. In: Phillips, MR; Al-Naemi, S., and …

Evaluating oyster habitat quality is gaining importance as populations face drastic global
declines. Oyster Habitat Suitability Index (HSI) models evaluate habitat quality …