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International Conference on Ocean Remote Sensing and Climate Forecasting - (ICORSCF-27)

2nd - 3rd March 2027 , Porto - Portugal

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Call For Papers

The (ICORSCF-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Oceanography, Climatology, Ecology are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Remote sensing applications in oceanography
  • Climate forecasting using ocean data
  • Innovations in ocean remote sensing technology
  • Impact of remote sensing on marine research
  • Data integration for climate forecasting
  • Ocean remote sensing and ecosystem monitoring
  • Role of satellites in climate studies
  • Remote sensing for coastal management
  • Ocean temperature monitoring via remote sensing
  • Future trends in ocean remote sensing
  • Remote sensing and fisheries management
  • Climate variability observed through remote sensing
  • Public policy implications of remote sensing data
  • Remote sensing for marine biodiversity assessment
  • Advancements in satellite oceanography
  • Collaborative efforts in remote sensing research
  • Remote sensing for disaster response planning
  • Ocean color remote sensing and productivity
  • Impact of remote sensing on climate science
  • Challenges in ocean remote sensing applications

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.