Seagrass communities provide critical ecosystem and provisioning services for both human
populations and a wide range of associated species globally. However, it has been reported …

Estimation of chlorophyll-a concentrations (Chla in mgm− 3) in optically complex waters
using remote sensing is difficult because traditional empirical (eg, OCx blue/green band …

Two fundamental problems have inhibited progress in the simulation of river water quality
under climate (and other) uncertainty: 1) insufficient data, and 2) the inability of existing …

The possibilities of chlorophyll a (Chl a) and total suspended matter (TSM) retrieval using
Sentinel-2/MSI imagery and in situ measurements in the Gorky Reservoir are investigated …

Estimation of surface water quality parameters (SWQPs) from satellite imagery is a cost-
effective method. Remote sensing algorithms are developed to map the relationship …

Atmospheric correction of remote sensing imagery over optically complex waters is still a
challenging task. Even algorithms showing a good accuracy for moderate and extremely …

Water quality monitoring programs have been widely implemented worldwide to monitor and
assess water quality and to understand its trends. However, water quality analysis based on …

River sediments play a critical role in sustaining deltaic wetlands. Therefore, concerns are
raised about wetlands' fate due to the decline of river sediment supply to many deltas …

We present a comprehensive analysis of sediment dynamics in a coastal lagoon by
synthesizing various remote sensing datasets. The goal of the study was to monitor and …

Time series measurements at the Wadden Sea time series station Spiekeroog (WSS) in the
southern North Sea were used to empirically develop approaches for determining turbidity …