From Remote Sensing to Artificial Intelligence in Coral Reef Monitoring

Machines, Journal Year: 2024, Volume and Issue: 12(10), P. 693 - 693

Published: Oct. 1, 2024

This review comprehensively covers the development of viable unmanned underwater vehicles based on their technical capabilities, in particular those designed to conduct research exploration ecosystems and address environmental issues through analysis coral reef vulnerability. The most important elements be obtained are situ data samples for characterization, supported by molecular biomarkers marine ecology indicators. following aspects considered this study: first, geographic distribution reefs study biological approaches detection evaluate vulnerability detailed; then, technologies currently available briefly described, ranging from large-scale capture local-scale directly region, taking advantage remote sensing systems assisted aerial technologies, vehicles, artificial intelligence mapping, monitoring, management as well characterization vulnerability; this, existing vehicle generally explained, including a categorical description an updated highlighted list innovative robust that have been used applications; capabilities such throughout missions they subjected presented bibliographic references; finally, promotes multidisciplinary work integrate developments associated knowledge areas order obtain synergies face challenges related massive scale degradation worldwide.

Language: Английский

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Coral reef thermal microclimates mapped from the International Space Station

Coral Reefs, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Abstract Satellite sea surface temperature (SST) is critical for describing marine environments. Traditional SST data, such as those provided by the Group High Resolution Sea Surface Temperature (GHRSST) program, are valuable, but have a relatively coarse spatial resolution mapping coral reef thermal Hence, fine from orbit would be of great utility to research community and speed pathway an increased understanding how, when, where stress afflicts individual reefs. Such data support adaptive management, especially so design protected areas. Flying aboard International Space Station, NASA ECOsystem Spaceborne Thermal Radiometer Experiment on Station (ECOSTRESS) instrument may already fill this niche with 204 times finer than GHRSST. To evaluate ECOSTRESS over environments, we deployed 21 loggers three years across two sites in Red Sea. We compared retrievals both GHRSST resolution, experimental, ECOSTRESS, in-situ logger dataset. While orbital platforms correlated strongly recordings, only its 70-m pixels, could construct microclimate maps capturing dynamic fluctuations experienced our studied contend that represents significant advancement capability monitor heat reefs orbit.

Language: Английский

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Harnessing Multiscale Topographic Environmental Variables for Regional Coral Species Distribution Models

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Effective biodiversity conservation requires knowledge of species' distributions across large areas, yet prevalence data for marine sessile species is scarce, with traditional variables often unavailable at appropriate temporal and spatial resolutions. As organism generally depend on terrain heterogeneity, topographic derived from digital elevation models (DEMs) can be useful proxies in ecological modelling, given Here, we use three reef‐building Acropora coral the Great Barrier Reef, Australia, a case study to (1) assess high‐resolution bathymetry DEM sources accuracy, (2) harness their regional distribution (SDMs), (3) develop transferable framework produce, select integrate multi‐resolution into models. For this, obtained processed distinct bathymetric depth that treat as DEMs, which are available GBR extent: (i) Allen Coral Atlas (ACA) 10 m, (ii) DeepReef 30 m (iii) 100 m. We generalised DEMs multiple nested resolutions (15 m–120 m) same eight SDM sensitivity source resolution. The ACA shared similar vertical accuracies, each producing relevant SDMs. Slope vector ruggedness measure (VRM), capturing hydrodynamic movement shelter or exposure, were most SDMs all species. Interestingly, finest resolution not always accurate SDMs, optimal between 15 60 depending variable type Using provided nuanced insights multiscale drivers distributions. Drawing this study, provide practical facilitate adoption better‐informed management planning.

Language: Английский

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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

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Remotely Sensed Spectral Variability Predicts Reef Fish Diversity

Published: Jan. 1, 2024

Language: Английский

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Remotely sensed spectral variability predicts reef fish diversity

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112823 - 112823

Published: Nov. 20, 2024

Language: Английский

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