AI Detects Shipwrecks Via Their Environmental Impact

AI Detects Shipwrecks Via Their Environmental Impact

elpais.com

AI Detects Shipwrecks Via Their Environmental Impact

Researchers used AI and satellite imagery to identify shipwrecks indirectly by detecting 'black reefs'—dark discolorations caused by iron from decaying shipwrecks—successfully locating known and unknown wrecks in the Pacific and Indian Oceans, highlighting the environmental impact of these submerged vessels.

Spanish
Spain
TechnologyScienceAiArchaeologyEnvironmental ImpactMarine EnvironmentUnderwater TechnologyShipwrecks
UnescoUniversity Of OxfordUniversity Of SouthamptonGoogle
Michel MaffiotteSabino BerthelotAlexandra Karamitrou
How are artificial intelligence and satellite imagery revolutionizing the discovery and impact assessment of submerged shipwrecks?
Using AI and satellite imagery, researchers located shipwrecks indirectly by identifying their environmental impact, specifically the 'black reef' discoloration caused by iron from decaying ships. This method successfully located known wrecks and even discovered a previously unknown wreck near Kenn Reef, Australia.
What specific environmental changes, detectable via satellite imagery, are indicative of decaying shipwrecks, and how does this relate to the study's findings?
The study combined remote sensing with a convolutional neural network to analyze high-resolution Google Earth images of Pacific and Indian Ocean reefs. The AI successfully identified 'black reefs,' indicating shipwreck presence, even when the wrecks themselves were disintegrated or buried. This technique overcomes challenges posed by unclear underwater imagery.
What are the broader implications of this research for understanding the environmental impact of historical shipwrecks and informing future mitigation strategies?
This AI-powered approach is crucial for locating and monitoring the millions of undiscovered shipwrecks worldwide. The method reveals not only the wreck's location but also its environmental impact, highlighting the ongoing threat of chemical and material release from decaying vessels. Future research should expand this approach to other regions and assess the full scale of this pollution.

Cognitive Concepts

1/5

Framing Bias

The article frames the use of AI in locating shipwrecks positively, emphasizing its potential and success. The environmental consequences of shipwrecks are also highlighted, creating a sense of urgency and importance. The headline (if any) would likely reflect this framing.

1/5

Language Bias

The language used is mostly neutral and objective, employing scientific terminology. There is a descriptive and slightly dramatic tone when discussing the environmental damage caused by shipwrecks, but this seems appropriate given the subject matter. Terms like "enfureció" (became enraged) could be considered slightly loaded, though the context is a direct quote from a historical source.

2/5

Bias by Omission

The article focuses primarily on the use of AI in locating shipwrecks and the environmental impact of these wrecks, potentially omitting other methods of shipwreck discovery or the historical significance of specific wrecks beyond their environmental impact. While it mentions the historical value and the story of the Indomptable, a broader discussion of the historical and archeological importance of shipwrecks is lacking.

Sustainable Development Goals

Life Below Water Negative
Direct Relevance

The article highlights the negative impact of shipwrecks on marine ecosystems. The decomposition of shipwrecks, particularly those containing iron, leads to the creation of "black reefs" due to the release of chemicals and materials. This process harms coral reefs and other marine life. The study uses AI to identify these black reefs as indicators of submerged wrecks and their environmental impact.