Six Marine Technologies Harnessing Big Data to Save Marine Ecosystem

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Scientists do not need to dive into the waters anymore but control explorer bots like the Wave Glider SV3 from the convenience of a laboratory. An updated version of SV2, Wave Glider SV3 is an autonomous robot powered by solar energy. This robot dives into the ocean bed with lights, sensors, and tools to sample the deep-blue creatures and environment. During each mission, SV3 leverages ocean energy as propulsion to collect data that last for a year. Both SV2 and SV3 have onboard Wi-Fi and ample storage of data. The SV3 by Liquid Robotics is capable of 90% of the world’s ocean-bed exploration previously unexplored.

Ocean Monitoring Indicators

On the footsteps of observatory initiatives led by NASA and NOAA in the USA, the Copernicus Marine Service has come up with OMIs. Part of the European Union’s Copernicus Programme, these OMIs are data sets spanning over 25 years of oceanic record of climate change, ocean warming, rising water level, and melting ice sheets. This free and open ocean information is useful to track ocean health over the past quarter of a century. The data used here is from satellite imaging of the ocean and sea ice as well as ocean modelling concepts.

The Ocean Cleanup

Remember the video of a turtle with a 6-inch straw stuck in its nose? It was bleeding heavily when a conservationist was trying to pull out the straw. To redeem from many such human-made ocean calamities, a young technologist came up with a solution, The Ocean Cleanup. The answer is an assemblage of long floating barriers that takes advantage of natural ocean forces to collect surface trash such as plastics. The solution does not interfere with the underneath ocean currents to not trap any fish or marine species. Through real-time telemetry to monitor the condition, performance, and trajectory of each system, the company estimates a removal of 90% of ocean plastic by 2040.

EcoCast

EcoCast is a pioneering way of evaluating both conservation objectives and economic profitability. EcoCast is helping U.S. fishery get smarter by directing the fishers to achieve their target while avoiding unwanted bycatch. Daily, EcoCast extracts data from the NOAA CoastWatch program’s satellite imaging of ocean conditions. It then combines it with existing data highlighting target fish populations and endangered species. It is a probability model to locate marine species on a particular day. Such species include the leatherback turtles, blue sharks, California sea lions, and other bycatch species.

WhaleWatch

Researchers from the Oregon State University, the University of Maryland, and NOAA Fisheries have come together to harness satellite observations to develop WhaleWatch. This system signals marine vehicles “hotspots” of endangered blue whales to avoid encountering them. By using many years of tag data to let the whales tell us where they go and under what conditions, WhaleWatch has proven its worth. Every month, NOAA Fisheries post the maps of its West Coast Region on their website. You can also check the Journal of Applied Ecology that describes the development and foundational methodology of the WhaleWatch system.

Deep-Sea Mining Watch

The Benioff Ocean Initiative and SkyTruth came up with the Deep Sea Mining watch web tool. It helps expose immense stretches of the little-known ocean bed considered for resource extraction. Over one million square kilometres have been claimed for deep-sea prospecting. If this goes wrong, can call forth ecological havoc. To avoid such known consequences, ocean scientists collect and share GPS tracks of vessels prospecting the oceans for minerals. They are trying to make information on the delicate under-ocean eco-system known to mining companies that run cutters deep down.

Conclusion

In all the ocean technologies discussed in this article, what you see in common is the pursuit of mining data for informed decision-making. The data size sought by the technologies is massive and insightful enough to propel any scientific movement. With the exponential growth of information technology and advances in ocean observatories, big data seems to be an indispensable resource for marine conservation.

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