Water is an important resource for life on Earth, and the future availability of clean water is an important issue for mankind. The importance of water is highlighted by the United Nations Sustainable Development Goals (SDGs) and to achieve water-related SDGs, a water management framework is needed to conserve and ensure the future availability of clean water. However, it is not easy to monitor and manage all the aquatic systems since traditional methods are based on water sampling and laboratory analysis or on the deployment of sensors. Because of these limitations, to ensure availability, conservation, and sustainable management of water, remote sensing technologies have been used to improve aquatic systems monitoring.
This Research Topic aims to capture the current development of remote sensing applications for the monitoring of water quality. Due to the increasing interests of the scientific community, managers and policymakers in the use of remote sensing technology to monitor water quality, this Topic is proposed to gather the state-of-the-art research in this field. This includes the development of new remote sensing algorithms for atmospheric correction and for water quality parameters, the performance evaluation of analysis-ready data (ARD) and the development of new multi and hyperspectral sensors which could be used for water quality monitoring.
Topics can include but are not limited to:
- Future multi and hyperspectral missions which could be used for monitoring water quality;
- Development of remote sensing algorithms for the estimation of water quality variables such as phytoplankton pigments, colored dissolved organic matter, non-algal particles, sediments, turbidity, water clarity or higher-level products such as primary productivity, nutrients, trophic indices and others;
- Development of novel atmospheric corrections approaches for the retrieval of aquatic reflectance, especially for the reduction of effects like sun glint and land adjacency;
- Development of remote sensing algorithms for water quality estimation in shallow waters environments;
- Assessment of Water Quality related Analysis Ready Products (ARD);
- Evaluation of the uncertainties of existing water quality Earth Observation products;
- Current and future challenges in water quality remote sensing.
Water is an important resource for life on Earth, and the future availability of clean water is an important issue for mankind. The importance of water is highlighted by the United Nations Sustainable Development Goals (SDGs) and to achieve water-related SDGs, a water management framework is needed to conserve and ensure the future availability of clean water. However, it is not easy to monitor and manage all the aquatic systems since traditional methods are based on water sampling and laboratory analysis or on the deployment of sensors. Because of these limitations, to ensure availability, conservation, and sustainable management of water, remote sensing technologies have been used to improve aquatic systems monitoring.
This Research Topic aims to capture the current development of remote sensing applications for the monitoring of water quality. Due to the increasing interests of the scientific community, managers and policymakers in the use of remote sensing technology to monitor water quality, this Topic is proposed to gather the state-of-the-art research in this field. This includes the development of new remote sensing algorithms for atmospheric correction and for water quality parameters, the performance evaluation of analysis-ready data (ARD) and the development of new multi and hyperspectral sensors which could be used for water quality monitoring.
Topics can include but are not limited to:
- Future multi and hyperspectral missions which could be used for monitoring water quality;
- Development of remote sensing algorithms for the estimation of water quality variables such as phytoplankton pigments, colored dissolved organic matter, non-algal particles, sediments, turbidity, water clarity or higher-level products such as primary productivity, nutrients, trophic indices and others;
- Development of novel atmospheric corrections approaches for the retrieval of aquatic reflectance, especially for the reduction of effects like sun glint and land adjacency;
- Development of remote sensing algorithms for water quality estimation in shallow waters environments;
- Assessment of Water Quality related Analysis Ready Products (ARD);
- Evaluation of the uncertainties of existing water quality Earth Observation products;
- Current and future challenges in water quality remote sensing.