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New Technologies for Monitoring Coastal Ecosystem Dynamics.

Kyle C Cavanaugh1, Tom W Bell2, Karen E Aerni3

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New technologies enhance coastal ecosystem monitoring, integrating satellite data, drones, sensors, and AI. Despite advances, significant gaps remain in observing these vital ecosystems under climate change pressures.

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Area of Science:

  • Marine Biology
  • Environmental Science
  • Remote Sensing Technology

Background:

  • Coastal ecosystems face increasing pressures from climate change and human activities.
  • Recent technological advancements allow for more frequent and extensive observations of these environments.
  • Understanding these changes is critical for effective coastal management.

Purpose of the Study:

  • To synthesize recent literature on emerging technologies for coastal ecosystem monitoring.
  • To highlight the role of artificial intelligence and deep learning in data analysis.
  • To identify critical gaps in current monitoring capabilities.

Main Methods:

  • Review of scientific literature on advanced monitoring technologies.
  • Inclusion of satellite monitoring, drones (aerial and underwater), in situ sensor networks, fiber optic systems, and community science observatories.
  • Discussion of artificial intelligence and deep learning applications in data processing.

Main Results:

  • Emerging technologies significantly expand the scope and frequency of coastal ecosystem observations.
  • Artificial intelligence and deep learning are crucial for extracting insights from large datasets.
  • Despite progress, substantial monitoring gaps persist.

Conclusions:

  • Technological advancements are revolutionizing coastal ecosystem monitoring.
  • Addressing current monitoring gaps is essential for managing coastal ecosystems amidst global change.
  • Integrated approaches combining diverse technologies are key for future research and management.