The management and protection of water resources, especially in coastal zones, are increasingly critical in the face of climate change, pollution, and overexploitation. Coastal regions are essential reservoirs of biodiversity and important locations for economic activities and human populations, yet they are highly vulnerable to environmental changes such as sea-level rise, coastal erosion, extreme weather events, hydrological alterations, and pollution. Satellite remote sensing technologies provide powerful tools for monitoring hydrological processes, water quality, and environmental changes in these dynamic regions. This Research Topic invites contributions focusing on the application of advanced satellite remote sensing technologies, such as SWOT, Sentinel-6, and Landsat, in the management of coastal water resources, hydrological processes, and environmental sustainability. We encourage research that explores how these technologies, combined with machine learning techniques, can improve the monitoring of coastal ecosystems, track water quality, and support water resource management in the face of changing environmental conditions.
Effective monitoring of coastal waters is crucial for managing water resources, protecting ecosystems, and ensuring social and ecological sustainability. Satellite missions such as SWOT and Sentinel-6 offer unprecedented capabilities for monitoring water surface elevations, water quality, and coastal dynamics. These missions provide high-resolution data that enable accurate assessment of coastal water systems, from tidal fluctuations to long-term trends in sea level and salinity. Additionally, Sentinel-1 and Sentinel-2 offer valuable information on land surface changes, vegetation cover, and the characteristics of water bodies, further enhancing our ability to monitor coastal areas. The integration of these remote sensing platforms with machine learning models holds the potential to revolutionize coastal zone management by improving the accuracy of predictions and decision-making for biodiversity conservation, sustainable resource use, and climate change adaptation.
This Research Topic seeks to explore how satellite remote sensing technologies can improve the monitoring, management, and protection of coastal water resources and ecosystems. We aim to showcase how SWOT, Sentinel-6, and other advanced satellite systems can be applied to assess and manage the challenges facing coastal zones, such as sea-level rise, pollution, and resource overuse. By integrating these technologies with machine learning approaches, this Research Topic will provide new insights into the application of remote sensing for sustainable water resource management, environmental protection, and climate adaptation in coastal regions. We invite contributions that demonstrate these advancements and their implications for the future of coastal sustainability.
We are particularly interested in studies that use remote sensing and geospatial approaches to address specific challenges in coastal zone management, focusing on the integration of satellite data and modeling approaches to improve water resource monitoring, pollution control, and environmental sustainability in coastal regions.
We welcome authors to submit original research, reviews, and methodology papers that address the following themes:
• The application of SWOT, Sentinel-6, and other multiple satellite missions for monitoring coastal water levels, sea surface height, and hydrological processes.
• Remote sensing for water quality monitoring and pollution monitoring in coastal zones.
• The role of satellite altimetry, radar, and optical data in assessing coastal erosion, habitat degradation, and ecosystem health assessment.
• Machine learning and data fusion techniques for improving coastal water resource management and flood risk prediction.
• Climate change impacts on coastal water resources and the role of remote sensing in adaptation strategies.
The management and protection of water resources, especially in coastal zones, are increasingly critical in the face of climate change, pollution, and overexploitation. Coastal regions are essential reservoirs of biodiversity and important locations for economic activities and human populations, yet they are highly vulnerable to environmental changes such as sea-level rise, coastal erosion, extreme weather events, hydrological alterations, and pollution. Satellite remote sensing technologies provide powerful tools for monitoring hydrological processes, water quality, and environmental changes in these dynamic regions. This Research Topic invites contributions focusing on the application of advanced satellite remote sensing technologies, such as SWOT, Sentinel-6, and Landsat, in the management of coastal water resources, hydrological processes, and environmental sustainability. We encourage research that explores how these technologies, combined with machine learning techniques, can improve the monitoring of coastal ecosystems, track water quality, and support water resource management in the face of changing environmental conditions.
Effective monitoring of coastal waters is crucial for managing water resources, protecting ecosystems, and ensuring social and ecological sustainability. Satellite missions such as SWOT and Sentinel-6 offer unprecedented capabilities for monitoring water surface elevations, water quality, and coastal dynamics. These missions provide high-resolution data that enable accurate assessment of coastal water systems, from tidal fluctuations to long-term trends in sea level and salinity. Additionally, Sentinel-1 and Sentinel-2 offer valuable information on land surface changes, vegetation cover, and the characteristics of water bodies, further enhancing our ability to monitor coastal areas. The integration of these remote sensing platforms with machine learning models holds the potential to revolutionize coastal zone management by improving the accuracy of predictions and decision-making for biodiversity conservation, sustainable resource use, and climate change adaptation.
This Research Topic seeks to explore how satellite remote sensing technologies can improve the monitoring, management, and protection of coastal water resources and ecosystems. We aim to showcase how SWOT, Sentinel-6, and other advanced satellite systems can be applied to assess and manage the challenges facing coastal zones, such as sea-level rise, pollution, and resource overuse. By integrating these technologies with machine learning approaches, this Research Topic will provide new insights into the application of remote sensing for sustainable water resource management, environmental protection, and climate adaptation in coastal regions. We invite contributions that demonstrate these advancements and their implications for the future of coastal sustainability.
We are particularly interested in studies that use remote sensing and geospatial approaches to address specific challenges in coastal zone management, focusing on the integration of satellite data and modeling approaches to improve water resource monitoring, pollution control, and environmental sustainability in coastal regions.
We welcome authors to submit original research, reviews, and methodology papers that address the following themes:
• The application of SWOT, Sentinel-6, and other multiple satellite missions for monitoring coastal water levels, sea surface height, and hydrological processes.
• Remote sensing for water quality monitoring and pollution monitoring in coastal zones.
• The role of satellite altimetry, radar, and optical data in assessing coastal erosion, habitat degradation, and ecosystem health assessment.
• Machine learning and data fusion techniques for improving coastal water resource management and flood risk prediction.
• Climate change impacts on coastal water resources and the role of remote sensing in adaptation strategies.