About the Journal

The Remote Sensing for Sustainable Oceans (RSSO) aims to publish high-quality research that drives innovation in remote sensing applications for marine and coastal environments and has a direct impact on ocean sustainability. The journal welcomes original research articles, review articles, methodological articles, and short communications in the following areas:

  1. Advancements in Marine Remote Sensing Technology: Including the development and application of new algorithms, tools, and methods.
  2. Oceanographic Data Acquisition and Processing: Involving the acquisition, processing, and analysis of oceanographic data.
  3. Coastal and Marine Environment Monitoring: Monitoring of coastal changes, marine pollution, and ecological monitoring.
  4. Polar Glacier Remote Sensing: Remote sensing monitoring of polar glaciers and sea ice and their response to global climate change.
  5. Coral Reef Ecosystem Studies: Remote sensing assessment and conservation of coral reef health.
  6. Marine Biodiversity Assessment: Marine biodiversity assessment using remote sensing technology.
  7. Satellite-Based Ocean Monitoring: Satellite monitoring of sea surface temperature, salinity, currents, etc.
  8. Marine Health Monitoring:Remote sensing assessment of marine health, including ocean acidification and hypoxia.
  9. Sustainable Marine Ecology:Research on how remote sensing technologies support the sustainability of marine ecosystems.
  10. Coastal Fisheries and Shipping Industries: Applications of remote sensing technology in fishery resource management and shipping safety.
  11. Sea Surface Temperature Mapping:Remote sensing monitoring of sea surface temperature and its impact on marine ecosystems.
  12. Artificial Intelligence in Marine Remote Sensing: The application of AI technology in marine remote sensing, including image recognition and data processing.
  13. Machine Learning Applications in Oceanography:The application of machine learning technology in oceanography, including pattern recognition and predictive modeling.
  14. Big Data Analytics for Marine Science:The application of big data analysis in ocean science, particularly in the processing and interpretation of remote sensing data.
  15. Oceanographic Modeling and Simulation: Oceanographic modeling and simulation studies integrated with remote sensing data, including the impacts of climate change on the oceans.