World’s Coral Reefs Expand: 64,000 Sq Km Discovered Using Machine Learning

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Machine learning has played a crucial role in uncovering previously unknown coral reefs, according to a report by Mitchell Lyons, a postdoctoral research fellow, and Stuart Phinn, a Professor of Geography, both from The University of Queensland. Researchers have discovered an additional 64,000 square kilometers of coral reefs, expanding the total size of shallow reefs on Earth to approximately 348,000 square kilometers. This groundbreaking finding has been made possible through the use of machine learning techniques, along with snorkels and high-resolution satellite imagery.

By analyzing the satellite data, which can capture reefs as deep as 30 meters, and combining it with direct observations, the researchers were able to identify vast areas of previously unrecorded reefs. Not only did they utilize machine learning to create new maps of coral reef locations worldwide, but they also relied on these models to make accurate predictions during the mapping process. It is important to note that without direct observational data, confirming the existence of these reefs remains challenging.

The discovery of these hidden coral reefs is a significant advancement in understanding and conserving coral reef ecosystems, which are increasingly threatened by climate change. The accurate mapping of coral reefs helps researchers gain a better understanding of the potential impacts and conservation efforts required.

With this newfound knowledge, scientists and policymakers can develop targeted strategies to protect and preserve these fragile ecosystems. By combining the power of machine learning, satellite imagery, and direct observations, researchers can continue to explore and map the world’s coral reefs, ultimately contributing to their conservation.

The study conducted by Lyons and Phinn highlights the critical role that technology, such as machine learning, plays in advancing our understanding of the natural world. As climate change continues to pose challenges to coral reefs, it is through these innovative approaches that we can hope to protect and conserve these vital ecosystems for future generations.

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Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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