Session 9: Optical remote sensing in the Northwest Pacific and the Central Indo-Pacific Oceans

About this session

Optical remote sensing has become an indispensable tool for studying oceanographic and coastal processes, offering valuable insights into coastal water quality, primary productivity, marine biodiversity, and climate-driven changes. By leveraging satellite-derived data, researchers can monitor algal blooms, sediment dynamics, coral reef health, fisheries, and coastal pollution, supporting sustainable marine resource management and ecosystem conservation.

The Indo-Pacific and Northwest Pacific Oceans encompass some of the most biologically productive, diverse, and climatically significant regions in the world. Additionally, the adverse pressures on the marine environment are increasing due to rapid industrialization, making the role of optical remote sensing crucial in addressing these challenges.

In addition to traditional ocean color satellite data, a new generation of satellite data—including geostationary satellite data, high-resolution satellite data, and hyperspectral satellite data—has become increasingly available. Furthermore, with advancements in artificial intelligence (AI) technologies, optical remote sensing is becoming an even more powerful and effective tool for monitoring the marine environment.

This session invites contributions on recent research findings in the field of optical remote sensing, including the following topics.

  • Satellite-based monitoring of coastal water quality
  • Detection of harmful algal blooms and phytoplankton species identification
  • Fisheries resource management using ocean remote sensing
  • Climate change monitoring in the marine biosphere
  • Coral reef and marine habitat monitoring
  • Optical remote sensing applications for marine environmental issues

Convenor

Young-Je Park, Korea Institute of Ocean Science and Technology (KIOST) 

Young-Je Park’s research field is ocean color remote sensing, with a recent research focus on leveraging various satellite data to address marine environmental challenges.

He has been involved in several international projects, including Japan’s JAXA ADEOS-II/GLI project, the MERIS application at the Royal Belgian Institute for Natural Sciences (RBINS), and coastal water monitoring using MODIS and high-resolution satellite imagery at CSIRO, Australia.

Since joining KIOST in 2011, his primary research focus has been on the Geostationary Ocean Color Imager (GOCI), an ocean color sensor operating in geostationary orbit, which provides hourly ocean color images during daylight hours over the northeast Asian seas around Korea. He serves as the Principal Investigator (PI) of GOCI application projects, which focus on utilizing GOCI data to address environmental challenges in Korean waters. Additionally, he was actively involved in the development of its successor, GOCI-II, which became operational in space in early 2020, and led an R&D project to develop the ground system for GOCI-II operations.

His international contributions include serving on the organizing committees for PORSEC (Pan Ocean Remote Sensing Conference) 2018 and IOCS 2019, as well as being a member of the IOCCG Executive Committee and co-chair of the IMBeR OCPC Group.

  • Deadline for abstracts: 20 March 2025
  • An example abstract is provided here