Submerged aquatic vegetation: Overview of monitoring techniques used for the identification and determination of spatial distribution in European coastal waters

C Lønborg, A Thomasberger, PAU Stæhr… - Integrated …, 2021 - academic.oup.com
Coastal waters are highly productive and diverse ecosystems, often dominated by marine
submerged aquatic vegetation (SAV) and strongly affected by a range of human pressures …

[HTML][HTML] Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques

MK Noman, SMS Islam, J Abu-Khalaf, SMJ Jalali… - Ecological …, 2023 - Elsevier
Seagrasses provide a wide range of ecosystem services in coastal marine environments.
Despite their ecological and economic importance, these species are declining because of …

[HTML][HTML] Improving approaches to map** seagrass within the Great Barrier Reef: From field to spaceborne earth observation

LJ McKenzie, LA Langlois, CM Roelfsema - Remote Sensing, 2022 - mdpi.com
Seagrass meadows are a key ecosystem of the Great Barrier Reef World Heritage Area,
providing one of the natural heritage attributes underpinning the reef's outstanding universal …

Semi-supervised segmentation for coastal monitoring seagrass using RPA imagery

B Hobley, R Arosio, G French, J Bremner, T Dolphin… - Remote Sensing, 2021 - mdpi.com
Intertidal seagrass plays a vital role in estimating the overall health and dynamics of coastal
environments due to its interaction with tidal changes. However, most seagrass habitats …

BAOS-CNN: A novel deep neuroevolution algorithm for multispecies seagrass detection

MK Noman, SM Shamsul Islam, SM Jafar Jalali… - Plos one, 2024 - journals.plos.org
Deep learning, a subset of machine learning that utilizes neural networks, has seen
significant advancements in recent years. These advancements have led to breakthroughs …

Semantic segmentation of major macroalgae in coastal environments using high-resolution ground imagery and deep learning

J Balado, C Olabarria, J Martínez-Sánchez… - … Journal of Remote …, 2021 - Taylor & Francis
Macroalgae are a fundamental component of coastal ecosystems and play a key role in
sha** community structure and functioning. Macroalgae are currently threatened by …

[HTML][HTML] Autonomous boundary inspection of Posidonia oceanica meadows using an underwater robot

F Ruscio, R Costanzi, N Gracias, J Quintana… - Ocean Engineering, 2023 - Elsevier
Monitoring provides important information for the planning and execution of marine
environment preservation operations. Posidonia oceanica is one of the principal …

Multi-species seagrass detection and classification from underwater images

S Raine, R Marchant, P Moghadam… - 2020 Digital Image …, 2020 - ieeexplore.ieee.org
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 …

Multi-species seagrass detection using semi-supervised learning

MK Noman, SMS Islam, J Abu-Khalaf… - … Conference on Image …, 2021 - ieeexplore.ieee.org
This paper introduces a semi-supervised two-stage framework that leverages a large
collection of unlabelled seagrass data with the guidance of a small amount of labelled …

Deep neural networks based automated extraction of dugong feeding trails from UAV images in the intertidal seagrass beds

C Yamato, K Ichikawa, N Arai, K Tanaka, T Nishiyama… - Plos one, 2021 - journals.plos.org
Dugongs (Dugong dugon) are seagrass specialists distributed in shallow coastal waters in
tropical and subtropical seas. The area and distribution of the dugongs' feeding trails, which …