The quantity and quality of surface water are inherently connected yet are overwhelmingly
studied separately in the field of remote sensing. Remotely observable water quantity (eg …

The performance of different atmospheric correction algorithms for the Ocean and Land
Colour Instrument (OLCI) on board of Sentinel-3 (S3) is evaluated for retrieval of water …

The performance of the dark spectrum fitting (DSF) atmospheric correction algorithm is
evaluated using matchups between metre-and decametre-scale satellite imagery as …

Satellite remote sensing data have been used for water quality map**, but accurate water
reflectance retrieval is dependent on multiple procedures, such as atmospheric and …

Inland and coastal waters provide key ecosystem services and are closely linked to human
well-being. In this study, we propose a semi-analytical method, which can be applied to …

Satellite remote sensing is a highly valuable data source useful in the monitoring of surface
water dynamics and an essential tool in flood risk management although several factors can …

The synergy of fine-to-moderate-resolutin (ie, 10–60 m) satellite data of the Landsat-8
Operational Land Imager (OLI) and the Sentinel-2 Multispectral Instrument (MSI) provides a …

Monitoring water quality is crucial for understanding aquatic ecosystem health and changes
in physical, chemical, and microbial water quality standards. Water quality critically …

The complex interactions from anthropogenic activities, climate change, sedimentation and
the input of wastewater has significantly affected the aquatic environment and entire …

Abstract Total Suspended Sediment (TSS) is one of the important variables determining
water quality since it controls the biological process in the coastal waters. TSS distribution off …