11. Remote Sensing Oceanography

Ocean Motion Technologies
Ocean Motion Tech Blog
4 min readApr 5, 2023

Remote sensing oceanography involves the use of satellites and other remote sensing platforms to collect and analyze data on the physical, chemical, and biological properties of the ocean. This data is invaluable to understanding the ocean’s complex processes and how they affect the global climate, coastal ecosystems, and marine resources. There are several key applications of remote sensing oceanography and how they benefit the Blue Economy.

A 1970 illustration of TRW FLTSATCOM communication satellite for data buoys
1970 illustration of TRW FLTSATCOM communication satellite for data buoys; courtesy: Jack Pan COLL.

Monitoring Ocean Climate and Circulation

The ocean plays a crucial role in regulating the Earth’s climate by absorbing and redistributing heat and other gasses (such as carbon dioxide). Remote sensing technologies, such as satellite altimeters, radiometers, and scatterometers, have enabled scientists to monitor global ocean circulation patterns, sea surface temperature, and sea level rise with unprecedented accuracy and spatial coverage. This information is vital for understanding the impacts of climate change on the ocean and for developing adaptive strategies to mitigate these impacts on coastal communities and marine ecosystems.

Remote sensing data also helps in understanding oceanographic processes such as upwelling, which brings nutrient-rich waters to the surface, supporting the growth of phytoplankton and the rest of the marine food web. By monitoring these processes, we can better manage fisheries and offshore aquaculture operations, ensuring the long-term sustainability of these industries.

Mapping Marine Ecosystems & Natural Resource Management

Remote sensing oceanography has revolutionized our ability to map and monitor the health of marine ecosystems. Satellite imagery and airborne remote sensing platforms can provide detailed information on the distribution and abundance of various marine habitats, such as coral reefs, seagrass beds, and mangrove forests. These habitats are essential for supporting biodiversity, providing nursery grounds for commercially important fish species, and protecting coastlines from erosion and storm surges.

By integrating remote sensing data with in-situ observations and advanced modeling techniques, scientists can assess the impacts of human activities and climate change on these ecosystems. This information is crucial for the development of effective marine spatial planning and conservation strategies, which are essential components of the Blue Economy.

An illustration of NASA;s Nimbus 7 satellite with the Coastal Zone Color Scanner
NASA Nimbus 7 satellite with the Coastal Zone Color Scanner (CZCS) — the first modern-day ocean color sensor for oceanographic applications; credit: Caprara 1986, courtesy: Jack Pan COLL.

Case Study: Monitoring and Forecasting Harmful Algal Blooms

Harmful algal blooms (HABs) are a growing concern for the Blue Economy, as they can cause massive fish kills, contaminate seafood with toxins, and disrupt tourism in coastal areas. Remote sensing oceanography has proven to be an invaluable tool for monitoring and forecasting the occurrence of HABs. Satellite sensors, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on board of NASA’s Aqua satellite and the Ocean and Land Colour Instrument (OLCI) on board of ESA’s Sentinel satellite, can detect the presence of HABs by measuring the concentration of chlorophyll-a in the water. By combining remote sensing data with oceanographic models and in-situ measurements, scientists can derive data on what type of phytoplankton is in the water and thus predict the development and distribution of HABs, allowing relevant stakeholders to take timely action to minimize HABs’ impacts on the Blue Economy.

Supporting Offshore Renewable Energy Development

The ocean offers vast potential for renewable energy production, such as offshore wind, wave, and tidal energy. Remote sensing technologies, including satellite-based synthetic aperture radar (SAR) and airborne lidar, can provide critical information on wind, wave, and current patterns, which is essential for selecting suitable sites for offshore renewable energy installations.

Furthermore, remote sensing data can be used to monitor the environmental impacts of these installations, such as changes in seabed morphology and potential effects on marine life. This information is crucial for ensuring the sustainable development of the offshore renewable energy sector, a key component of the Blue Economy.

An illustration of Landsat 1 satellite
USGS Landsat 1 — the first Landsat satellite as part of the Landsat Data Continuity Mission that is still ongoing today (as of this writing in 2023); credit: Caprara 1986, courtesy: Jack Pan COLL.

Remote sensing oceanography has already made significant contributions to our understanding of the ocean and its resources. As technology continues to advance, we can expect even more sophisticated remote sensing platforms and data analysis techniques to emerge, further unlocking the potential of the Blue Economy. By harnessing the power of remote sensing oceanography, we can ensure the sustainable management of our ocean resources, safeguarding their benefits for generations to come.

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The editing of this article was powered by deepsage.ai

References

Caprara, G., 1986. The Complete Encyclopedia of Space Satellites. Portland House.

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