Akademik Veri Yönetim Sistemi
Wetlands, cilt.45, sa.5, 2025 (SCI-Expanded)
Lagoons, which have a vital role in ecosystems and habitats, are under threat from factors such as climate change, irregular urbanisation, industrialisation and agricultural activities. The lagoons, which are home to many indigenous plants and species, are becoming increasingly polluted or drying up. The study area is Akyatan Lagoon, located in southern Türkiye and encompassed by the Ramsar Convention. The values found by applying the formulas for total suspended solids (TSS) and turbidity (TURB) parameters to the Sentinel-2 satellite data were compared with the in-situ data. A total of eight statistical analyses were carried out for two distinct water quality measures in January 2021, August 2021, May 2022 and August 2022. In August 2022, the TURB model exhibited optimal performance, with a Pearson correlation coefficient (r) value of 0.91. The findings of this case study indicated that the temporal proximity of satellite pass dates and field sampling times has a significant impact on the sensitivity of water quality models. It was observed that TURB models demonstrated a reduced sensitivity to such temporal variations in comparison to TSS models. It is acknowledged that the observation stations selected from the lagoon are inadequate in fully delineating the geographical distribution of pollutants. This was regarded as a limitation that could be resolved through the utilisation of remote sensing technologies. During the field studies, the sampling at previously determined satellite pass times was proposed and this approach was adopted as the basis of a remote sensing-based water quality monitoring system in Akyatan Lagoon.