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Monitoring underwater habitats is a vital part of observing the condition of the environment. The detection and mapping of underwater vegetation, especially seagrass has drawn the attention of the research community as early as the nineteen…

Computer Vision and Pattern Recognition · Computer Science 2019-03-04 Md Moniruzzaman , S. M. Shamsul Islam , Paul Lavery , Mohammed Bennamoun , C. Peng Lam

Seagrass meadows serve as critical carbon sinks, but estimating the amount of carbon they store requires knowledge of the seagrass species present. Underwater and surface vehicles equipped with machine learning algorithms can help to…

Computer Vision and Pattern Recognition · Computer Science 2023-09-07 Scarlett Raine , Ross Marchant , Brano Kusy , Frederic Maire , Tobias Fischer

Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecological data is prohibitive in terms of time and cost, thus…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Scarlett Raine , Ross Marchant , Peyman Moghadam , Frederic Maire , Brett Kettle , Brano Kusy

Tracking the abundance of underwater species is crucial for understanding the effects of climate change on marine ecosystems. Biologists typically monitor underwater sites with echosounders and visualize data as 2D images (echograms); they…

Posidonia oceanica meadows are a species of seagrass highly dependent on rocks for their survival and conservation. In recent years, there has been a concerning global decline in this species, emphasizing the critical need for efficient…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Michele Grimaldi , Nouf Alkaabi , Francesco Ruscio , Sebastian Realpe Rua , Rafael Garcia , Nuno Gracias

Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monitoring populations through image sampling has made data…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Penny Tarling , Mauricio Cantor , Albert Clapés , Sergio Escalera

The deep learning revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. These new methods provide analysis of data from sensors, cameras,…

Marine scientists use remote underwater video recording to survey fish species in their natural habitats. This helps them understand and predict how fish respond to climate change, habitat degradation, and fishing pressure. This information…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Alzayat Saleh , Marcus Sheaves , Mostafa Rahimi Azghadi

Coral reefs support numerous marine organisms and are an important source of coastal protection from storms and floods, representing a major part of marine ecosystems. However coral reefs face increasing threats from pollution, ocean…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Julio Jerison E. Macrohon , Gordon Hung

Marine ecosystems and their fish habitats are becoming increasingly important due to their integral role in providing a valuable food source and conservation outcomes. Due to their remote and difficult to access nature, marine environments…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Alzayat Saleh , Marcus Sheaves , Dean Jerry , Mostafa Rahimi Azghadi

Global climate change plays an essential role in our daily life. Mesoscale ocean eddies have a significant impact on global warming, since they affect the ocean dynamics, the energy as well as the mass transports of ocean circulation. From…

Computer Vision and Pattern Recognition · Computer Science 2018-05-16 Katharina Franz , Ribana Roscher , Andres Milioto , Susanne Wenzel , Jürgen Kusche

Underwater surveys provide long-term data for informing management strategies, monitoring coral reef health, and estimating blue carbon stocks. Advances in broad-scale survey methods, such as robotic underwater vehicles, have increased the…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Scarlett Raine , Frederic Maire , Niko Suenderhauf , Tobias Fischer

African penguins (Spheniscus demersus) are an endangered species. Little is known regarding their underwater hunting strategies and associated predation success rates, yet this is essential for guiding conservation. Modern bio-logging…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Kejia Zhang , Mingyu Yang , Stephen D. J. Lang , Alistair M. McInnes , Richard B. Sherley , Tilo Burghardt

Corals are the primary habitat-building life-form on reefs that support a quarter of the species in the ocean. A coral reef ecosystem usually consists of reefs, each of which is like a tall building in any city. These reef-building corals…

Computer Vision and Pattern Recognition · Computer Science 2022-12-09 Jiageng Zhong , Ming Li , Hanqi Zhang , Jiangying Qin

Drone-based remote sensing combined with AI-driven methodologies has shown great potential for accurate mapping and monitoring of coral reef ecosystems. This study presents a novel multi-scale approach to coral reef monitoring, integrating…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Matteo Contini , Victor Illien , Julien Barde , Sylvain Poulain , Serge Bernard , Alexis Joly , Sylvain Bonhommeau

Detection of oil spills from satellite images is essential for both environmental surveillance and maritime safety. Traditional threshold-based methods frequently encounter performance degradation due to very high false alarm rates caused…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Pavan Kumar Yata , Pediredla Pradeep , Goli Himanish , Swathi M

The synergistic combination of deep learning models and Earth observation promises significant advances to support the sustainable development goals (SDGs). New developments and a plethora of applications are already changing the way…

Machine Learning · Computer Science 2021-12-22 Claudio Persello , Jan Dirk Wegner , Ronny Hänsch , Devis Tuia , Pedram Ghamisi , Mila Koeva , Gustau Camps-Valls

Quantification of forest biomass stocks and their dynamics is important for implementing effective climate change mitigation measures. The knowledge is needed, e.g., for local forest management, studying the processes driving af-, re-, and…

Computer Vision and Pattern Recognition · Computer Science 2023-02-23 Stefan Oehmcke , Lei Li , Katerina Trepekli , Jaime Revenga , Thomas Nord-Larsen , Fabian Gieseke , Christian Igel

Weeds are a significant threat to the agricultural productivity and the environment. The increasing demand for sustainable agriculture has driven innovations in accurate weed control technologies aimed at reducing the reliance on…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Kun Hu , Zhiyong Wang , Guy Coleman , Asher Bender , Tingting Yao , Shan Zeng , Dezhen Song , Arnold Schumann , Michael Walsh

Reliable large-scale data on the state of forests is crucial for monitoring ecosystem health, carbon stock, and the impact of climate change. Current knowledge of tree species distribution relies heavily on manual data collection in the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-09 Hongjin Lin , Matthew Nazari , Derek Zheng
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