Mapping Harmful Algae Blooms: The Potential of Hyperspectral Imaging Technologies

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 608 - 608

Published: Feb. 11, 2025

Harmful algae blooms (HABs) pose critical threats to aquatic ecosystems and human economies, driven by their rapid proliferation, oxygen depletion capacity, toxin release, biodiversity impacts. These blooms, increasingly exacerbated climate change, compromise water quality in both marine freshwater ecosystems, significantly affecting life coastal economies based on fishing tourism while also posing serious risks inland bodies. This article examines the role of hyperspectral imaging (HSI) monitoring HABs. HSI, with its superior spectral resolution, enables precise classification mapping diverse species, emerging as a pivotal tool environmental surveillance. An array HSI techniques, algorithms, deployment platforms are evaluated, analyzing efficacy across varied geographical contexts. Notably, sensor-based studies achieved up 90% accuracy, regression-based chlorophyll-a (Chl-a) estimations frequently reaching coefficients determination (R2) above 0.80. quantitative findings underscore potential for robust HAB diagnostics early warning systems. Furthermore, we explore current limitations future management, highlighting strategic importance addressing growing economic challenges posed paper seeks provide comprehensive insight into HSI’s capabilities, fostering integration global strategies against proliferation.

Language: Английский

---

Exploring coral reef communities in Puerto Rico using Bayesian networks

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102665 - 102665

Published: June 5, 2024

Most coral reef studies focus on scleractinian (stony) corals to indicate condition, but there are other prominent assemblages that play a role in ecosystem structure and function. In Puerto Rico these include fish, gorgonians, sponges. The U.S. Environmental Protection Agency conducted unique surveys of communities across the southern coast included simultaneous measurement all four assemblages. Evaluating results from community perspective demands endpoints for assemblages, so patterns were explored by probabilistic clustering measured variables with Bayesian networks. found have stronger associations within than between taxa, unsupervised learning identified three cross-taxa relationships potential ecological significance. Clusters each assemblage constructed using an expectation-maximization algorithm created factor node jointly characterizing density, size, diversity individuals taxon. clusters characterized variables, taxa examined, such as stony fish variables. Each nodes then used create set meta-factor further summarized aggregate monitoring taxa. Once identified, taxon-specific meta-clusters represent can be examined regional or site-specific basis better understand risk assessment, management delivery services.

Language: Английский

---

The Convergence of AI and animal-inspired robots for ecological conservation

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102950 - 102950

Published: Dec. 1, 2024

Language: Английский

---

Sequential Multimodal Underwater Single-Photon Lidar Adaptive Target Reconstruction Algorithm Based on Spatiotemporal Sequence Fusion

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 295 - 295

Published: Jan. 15, 2025

For the demand for long-range and high-resolution target reconstruction of slow-moving small underwater targets, research on single-photon lidar technology is being carried out. This paper reports sequential multimodal adaptive algorithm based spatiotemporal sequence fusion, which has strong information extraction noise filtering ability can reconstruct depth reflective intensity from complex echo photon time counts spatial pixel relationships. The method consists three steps: data preprocessing, sequence-optimized extreme value inference filtering, collaborative variation strategy image optimization to achieve high-quality in environments. Simulation test results show that outperforms current imaging algorithms, built system achieves lateral distance resolution 5 mm 2.5cm@6AL, respectively. indicates a great advantage sparse counting possesses capability under background light noise. It also provides good solution targets with long-distance high-resolution.

Language: Английский

---

Coral Restoration in the Omics Era: Development of Point‐of‐Care Tools for Monitoring Disease, Reproduction, and Thermal Stress

BioEssays, Journal Year: 2025, Volume and Issue: unknown

Published: April 26, 2025

ABSTRACT Coral reef degradation has captured global attention from governments, conservationists, and researchers, who are making concerted efforts to develop sustainable solutions support resilience in the face of environmental degradation. The goal is empower local community for effective marine resource management. However, one major barriers coral conservation lack timely affordable population‐level health data, which can delay management responses. Although progress been made understanding molecular basis outcomes, more translational work needed cost‐effective, point‐of‐care (POC) diagnostic tools real‐time monitoring. This review assesses current state omics‐based research monitoring, focusing on highlighting key gaps actionable next steps guide implementation effective, field‐ready monitoring disease, reproduction, thermal stress. These advancements be used advance urgent needs promote by communities.

Language: Английский

---

Integrated underwater imaging framework and review

Journal of Ocean Engineering and Marine Energy, Journal Year: 2025, Volume and Issue: unknown

Published: June 3, 2025

Language: Английский

---

RapidBenthos: Automated segmentation and multi‐view classification of coral reef communities from photogrammetric reconstruction

Methods in Ecology and Evolution, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 26, 2024

Abstract Underwater photogrammetry is routinely used to monitor large areas of complex and heterogeneous ecosystems, such as coral reefs. However, deriving data on benthic components (i.e. sand, rubble, algae) from products has remained challenging due the highly time‐consuming process manual extraction. We developed a machine learning approach quantify community composition in reefs orthomosaics, which requires no delineation for training or implementation. The current study presents RapidBenthos, an automated workflow that segments classifies large‐area images. Our pipeline (1) uses pre‐trained segmentation model, eliminating need manually generated fine‐scale segmented data, (2) resulting multiple views using underlying survey images, allowing classification fine taxonomic levels. Within test photomosaic built reef area 40 m −2 , model automatically detected 43 different classes. Validation resulted overall accuracy 0.96 0.87, when compared digitised replica. RapidBenthos was 195 times faster than classification. Additional validation 524 Acropora colonies 11 additional plots 0.92 0.88 coarser ‘ Acropora’ group. capability extract unprecedented level photomosaics other environments, sustainably scale photogrammetric monitoring technique both replicate extent, consequently can lead new research questions more informed ecosystem management.

Language: Английский

---

Optical design and development of an underwater dual-channel microlens array integral field snapshot hyperspectral imager

Applied Optics, Journal Year: 2024, Volume and Issue: 63(21), P. 5768 - 5768

Published: July 3, 2024

Compared to push-scan hyperspectral imagers, snapshot imagers offer an advantage by minimizing sensitivity attitude jitter in underwater mobile platforms. Here we present the optical design and development of microlens array integral field imager. The system comprises a panchromatic imaging channel with high spatial resolution spectral lower resolution. Through fusion high-resolution images low-resolution images, achieve images. Both share common front objective, featuring 25 mm focal length wide 36° view angle. Utilizing prism dispersion, spans band range from 465 700 nm less than 10 nm. Specialized algorithms for image reconstruction have been developed. experimental results across diverse scenes confirm exemplary performance system, positioning it as robust solution imaging.

Language: Английский

---

Marine Ecosystem Monitoring: Applying Remote Sensing and AI to Track and Predict Coral Reef Health

Remote Sensing in Earth Systems Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Language: Английский

---

Coral reefs in transition: Temporal photoquadrat analyses and validation of underwater hyperspectral imaging for resource-efficient monitoring in Guam

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(3), P. e0299523 - e0299523

Published: March 19, 2024

The island of Guam in the west Pacific has seen a significant decrease coral cover since 2013. Lafac Bay, marine protected area northeast Guam, served as reference site for benthic communities typical forereefs on windward side island. staghorn Acropora abrotanoides is dominant and characteristic ecosystem engineer forereef exposed shorelines. Photoquadrat surveys were conducted 2015, 2017, 2019, diver-operated hyperspectral imager (i.e., DiveRay) was used to survey same transects 2019. Machine learning algorithms develop an automated pipeline assess 10 biotic abiotic categories 2019 based imagery. scleractinian corals did not differ between 2015 2017 despite being subjected series environmental disturbances these years. Surveys documented almost complete decline habitat-defining (a practically disappearance from about 10% cover), (~75%) other corals, increase (~55%) combined bare substrate, turf algae, cyanobacteria. drastic change community composition suggests that reef at Bay transitioning algae-dominated community. However, capacity this recover previous transition could be reversed, making excellent candidate long-term monitoring. Community analyses showed no difference automatically classified estimates derived scans those photoquadrats. These findings suggest underwater imagers can efficient effective tools fast, frequent, accurate monitoring dynamic communities.

Language: Английский

---