Giulia Sent , Evangelos Spyrakos , Thomas Jackson , Elizabeth C. Atwood , Vanda Brotas , Steve Groom , Ana C. Brito
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引用次数: 0
Abstract
Monitoring water quality and understanding how estuarine ecosystems respond to environmental changes is essential to sustain their ecological integrity and associated ecosystem services. In this study, we demonstrate that Optical Water Type (OWT) classification from Sentinel-2 MSI can be used as a stand-alone product rather than an intermediate tool for algorithm refinement, providing valuable insights for environmental monitoring, using the Tagus Estuary as an example. In-situ measurements (Chl-a, temperature, salinity, pH, and dissolved oxygen) were employed to characterize environmental conditions associated with OWT classes and to analyse the spatio-temporal and tidal variability during 2017–2024. We identified distinct water quality profiles among groups of OWTs, which were associated with marine, transitional and riverine waters with different physico-chemical characteristics that were related to different environmental drivers. Tides significantly influenced the distribution of OWTs, with high and neap tides favouring the occurrence of clearer marine waters. Specific OWT classes emerged as indicators for key environmental processes, including marine water intrusion, freshwater inputs and phytoplankton-rich waters. Time-series analysis revealed a trend of increasing marine waters inside the estuary alongside interannual variability driven by hydro-climatic forcings. Our findings highlight OWT classification as a valuable stand-alone satellite product for water quality monitoring, providing a powerful and scalable tool for estuarine science, policy, and management.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.