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Improving Approaches to Mapping Seagrass within the Great Barrier Reef: From Field to Spaceborne Earth Observation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/lol2.10193openalex-snapshot
Synthesizing 35 years of seagrass spatial data from the Great Barrier Reef World Heritage Area, Queensland, Australia
inferredcites →https://doi.org/10.1002/rse2.98openalex-snapshot
Mapping with confidence; delineating seagrass habitats using Unoccupied Aerial Systems (UAS)
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/bf01867299openalex-snapshot
The factor of scale in ecosystem mapping
inferredcites →https://doi.org/10.1007/s00227-020-03786-8openalex-snapshot
A global review of green turtle diet: sea surface temperature as a potential driver of omnivory levels
inferredcites →https://doi.org/10.1007/s00338-020-01929-3openalex-snapshot
Habitat maps to enhance monitoring and management of the Great Barrier Reef
inferredcites →https://doi.org/10.1007/s13280-018-1115-yopenalex-snapshot
Global challenges for seagrass conservation
inferredcites →https://doi.org/10.1016/0169-2046(87)90042-9openalex-snapshot
Suggested hierarchy of criteria for multi-scale ecosystem mapping
inferredcites →https://doi.org/10.1016/b978-044450891-1/50002-5openalex-snapshot
Global seagrass distribution
inferredcites →https://doi.org/10.1016/j.ecss.2007.02.014openalex-snapshot
Patterns in tropical seagrass photosynthesis in relation to light, depth and habitat
inferredcites →https://doi.org/10.1016/j.ecss.2014.07.020openalex-snapshot
The Great Barrier Reef World Heritage Area seagrasses: Managing this iconic Australian ecosystem resource for the future
inferredcites →https://doi.org/10.1016/j.ecss.2016.12.011openalex-snapshot
Landscape configuration modulates carbon storage in seagrass sediments
inferredcites →https://doi.org/10.1016/j.ecss.2017.11.001openalex-snapshot
Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone
inferredcites →https://doi.org/10.1016/j.jag.2017.12.013openalex-snapshot
Seagrass mapping in Greek territorial waters using Landsat-8 satellite images
inferredcites →https://doi.org/10.1016/j.jag.2018.12.009openalex-snapshot
Potential of Earth Observation (EO) technologies for seagrass ecosystem service assessments
inferredcites →https://doi.org/10.1016/j.marenvres.2018.02.006openalex-snapshot
Living at the margins – The response of deep-water seagrasses to light and temperature renders them susceptible to acute impacts
inferredcites →https://doi.org/10.1016/j.marpolbul.2014.07.019openalex-snapshot
Disturbance influences the invasion of a seagrass into an existing meadow
inferredcites →https://doi.org/10.1016/j.marpolbul.2015.09.032openalex-snapshot
Variability of sedimentary organic carbon in patchy seagrass landscapes
inferredcites →https://doi.org/10.1016/j.marpolbul.2017.09.006openalex-snapshot
Seagrass ecosystem trajectory depends on the relative timescales of resistance, recovery and disturbance
inferredcites →https://doi.org/10.1016/j.marpolbul.2017.11.005openalex-snapshot
Crowdsourcing conservation: The role of citizen science in securing a future for seagrass
inferredcites →https://doi.org/10.1016/j.rse.2014.05.001openalex-snapshot
Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach
inferredcites →https://doi.org/10.1016/j.rse.2018.02.005openalex-snapshot
Coral reef habitat mapping: A combination of object-based image analysis and ecological modelling
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.04.061openalex-snapshot
Unravelling complexity in seagrass systems for management: Australia as a microcosm
inferredcites →https://doi.org/10.1016/s0272-7714(02)00286-xopenalex-snapshot
Sediment deposition and production in SE-Asia seagrass meadows
inferredcites →https://doi.org/10.1017/cbo9781139013277openalex-snapshot
Ecology and Conservation of the Sirenia
inferredcites →https://doi.org/10.1023/a:1017520800568openalex-snapshot
The interaction between water movement, sediment dynamics and submersed macrophytes
inferredcites →https://doi.org/10.1038/ngeo1477openalex-snapshot
Seagrass ecosystems as a globally significant carbon stock
inferredcites →https://doi.org/10.1038/s41598-021-01471-4openalex-snapshot
A spatial analysis of seagrass habitat and community diversity in the Great Barrier Reef World Heritage Area
inferredcites →https://doi.org/10.1038/srep13167openalex-snapshot
Dynamics of a deep-water seagrass population on the Great Barrier Reef: annual occurrence and response to a major dredging program
inferredcites →https://doi.org/10.1071/mf9930043openalex-snapshot
Occurrence and fruit and seed biology of Halophila tricostata Greenway (Hydrocharitaceae)
inferredcites →https://doi.org/10.1071/wr9890429openalex-snapshot
Distribution and Abundance of Dugongs in the Northern Great Barrier-Reef Marine Park
inferredcites →https://doi.org/10.1080/00139157.2013.785864openalex-snapshot
Seagrass Meadows, Ecosystem Services, and Sustainability
inferredcites →https://doi.org/10.1088/1748-9326/7/2/024006openalex-snapshot
A comparison of threats, vulnerabilities and management approaches in global seagrass bioregions
inferredcites →https://doi.org/10.1088/1748-9326/7/2/024026openalex-snapshot
Tropical seagrass meadows modify seawater carbon chemistry: implications for coral reefs impacted by ocean acidification
inferredcites →https://doi.org/10.1088/1748-9326/ab7d06openalex-snapshot
The global distribution of seagrass meadows
inferredcites →https://doi.org/10.1109/dicta47822.2019.8946048openalex-snapshot
Faster R-CNN Based Deep Learning for Seagrass Detection from Underwater Digital Images
inferredcites →https://doi.org/10.1109/oceanse.2019.8867064openalex-snapshot
A Closer Look at Seagrass Meadows: Semantic Segmentation for Visual Coverage Estimation
inferredcites →https://doi.org/10.1109/oceanskobe.2018.8559302openalex-snapshot
Looking for Seagrass: Deep Learning for Visual Coverage Estimation
inferredcites →https://doi.org/10.1126/science.aal1956openalex-snapshot
Seagrass ecosystems reduce exposure to bacterial pathogens of humans, fishes, and invertebrates
inferredcites →https://doi.org/10.1136/bmj.b2535openalex-snapshot
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
inferredcites →https://doi.org/10.1146/annurev-marine-010318-095323openalex-snapshot
Unoccupied Aircraft Systems in Marine Science and Conservation
inferredcites →https://doi.org/10.1371/journal.pone.0176630openalex-snapshot
Seagrass blue carbon spatial patterns at the meadow-scale
inferredcites →https://doi.org/10.1371/journal.pone.0255586openalex-snapshot
Deep neural networks based automated extraction of dugong feeding trails from UAV images in the intertidal seagrass beds
inferredcites →https://doi.org/10.1594/pangaea.826368openalex-snapshot
Composite of coastal seagrass meadows in Queensland, Australia - November 1984 to June 2010
inferredcites →https://doi.org/10.18637/jss.v077.i01openalex-snapshot
ranger : A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
inferredcites →https://doi.org/10.1890/120150openalex-snapshot
Lightweight unmanned aerial vehicles will revolutionize spatial ecology
inferredcites →https://doi.org/10.2112/jcoastres-d-15-00005.1openalex-snapshot
Coastal and Environmental Remote Sensing from Unmanned Aerial Vehicles: An Overview
inferredcites →https://doi.org/10.3354/meps08197openalex-snapshot
Spatial distribution of deepwater seagrass in the inter-reef lagoon of the Great Barrier Reef World Heritage Area
inferredcites →https://doi.org/10.3389/fmars.2017.00013openalex-snapshot
Export from Seagrass Meadows Contributes to Marine Carbon Sequestration
inferredcites →https://doi.org/10.3389/fmars.2021.608867openalex-snapshot
Impediments to Understanding Seagrasses’ Response to Global Change
inferredcites →https://doi.org/10.3389/fmars.2021.610397openalex-snapshot
Citizen Science Driven Big Data Collection Requires Improved and Inclusive Societal Engagement
inferredcites →https://doi.org/10.3389/fmars.2021.640338openalex-snapshot
A Novel Method for Using Small Unoccupied Aerial Vehicles to Survey Wildlife Species and Model Their Density Distribution
inferredcites →https://doi.org/10.3390/app10165501openalex-snapshot
Distance and Visual Angle of Line-of-Sight of a Small Drone
inferredcites →https://doi.org/10.3390/drones6010024openalex-snapshot
Demystifying the Differences between Structure-from-MotionSoftware Packages for Pre-Processing Drone Data
inferredcites →https://doi.org/10.3390/jmse7040098openalex-snapshot
Seagrass Resource Assessment Using WorldView-2 Imagery in the Redfish Bay, Texas
inferredcites →https://doi.org/10.3390/rs10040641openalex-snapshot
On the Use of Unmanned Aerial Systems for Environmental Monitoring
inferredcites →https://doi.org/10.3390/rs13214343openalex-snapshot
How Much Shallow Coral Habitat Is There on the Great Barrier Reef?
inferredcites →https://doi.org/10.3390/rs14030477openalex-snapshot
Using Unoccupied Aerial Vehicles (UAVs) to Map Seagrass Cover from Sentinel-2 Imagery
inferredcites →https://doi.org/10.3390/rs14030609openalex-snapshot
Cloud Processing for Simultaneous Mapping of Seagrass Meadows in Optically Complex and Varied Water
inferredcites →https://doi.org/10.3390/rs71012909openalex-snapshot
Water Quality and River Plume Monitoring in the Great Barrier Reef: An Overview of Methods Based on Ocean Colour Satellite Data
inferredcites →https://doi.org/10.3390/rs8030210openalex-snapshot
Estimating the Exposure of Coral Reefs and Seagrass Meadows to Land-Sourced Contaminants in River Flood Plumes of the Great Barrier Reef: Validating a Simple Satellite Risk Framework with Environmental Data
inferredcites →https://doi.org/10.48048/tis.2021.677openalex-snapshot
Evaluation Methods of Change Detection of Seagrass Beds in the Waters of Pajenekang and Gusung Selayar
inferredcites →https://doi.org/10.5281/zenodo.15965839openalex-snapshot
ECOLOGICAL SURVEYS OF CORAL REEFS
inferredcites →https://doi.org/10.5281/zenodo.16391402openalex-snapshot
THE STRUCTURE AND ECOLOGY OF LOW ISLES AND OTHER REEFS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1111/mms.13021zenodo-depositor-declared
Cryptic marine barriers to gene flow in a vulnerable coastal species, the dugong (Dugong dugon)
inferred← citeshttps://doi.org/10.1002/aqc.70078openalex-snapshot
The Apparent Change in Population Structure of Green Turtles ( Chelonia mydas ) at a Northern Great Barrier Reef Foraging Site Over Three Decades and an Evaluation of Potential Causes
inferred← citeshttps://doi.org/10.1002/aqc.70357openalex-snapshot
A Holistic Framework for the Protection and Management of Seagrass Meadows as Natural Assets of the Sea of Marmara
inferred← citeshttps://doi.org/10.1002/rse2.343openalex-snapshot
The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics using PlanetScope imagery
inferred← citeshttps://doi.org/10.1007/978-3-032-06136-2_34openalex-snapshot
Monitoring and Modeling the Dynamics of Halophila Stipulacea Meadows Using Satellite Imagery and Machine Learning Techniques
inferred← citeshttps://doi.org/10.1007/s13280-022-01811-2openalex-snapshot
Potential of seagrass habitat restorations as nature-based solutions: Practical and scientific implications in Indonesia
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2025.111329openalex-snapshot
Integrating interspecific traits into biophysical models of seagrass dispersal
inferred← citeshttps://doi.org/10.1016/j.ecss.2026.110041openalex-snapshot
Evaluating UAV based monitoring of seagrass meadows: Insights into spatial configuration and temporal change
inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.122246openalex-snapshot
AI-based seagrass morphology measurement
inferred← citeshttps://doi.org/10.1016/j.marenvres.2026.108082openalex-snapshot
DUST: A framework for quantifying dugong-seagrass interactions using low-cost UAVs
inferred← citeshttps://doi.org/10.1016/j.rse.2024.113990openalex-snapshot
Remotely sensed habitat diversity predicts species diversity on coral reefs
inferred← citeshttps://doi.org/10.1016/j.rsma.2025.104423openalex-snapshot
Carbon and nitrogen storage estimation of tropical seagrass meadows on the eastern coast of Sri Lanka
inferred← citeshttps://doi.org/10.1016/j.srs.2025.100243openalex-snapshot
Mapping subtidal seagrass in the turbid Baltic Sea: Rethinking satellite sensor selection using a sensor-agnostic pipeline
inferred← citeshttps://doi.org/10.1029/2024jh000559openalex-snapshot
Comparing Cloud Mask Products for Seagrass Mapping Over Sentinel‐2 Imagery: Toward a First National Seagrass Map for Venezuela
inferred← citeshttps://doi.org/10.1080/15481603.2024.2438838openalex-snapshot
Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach
inferred← citeshttps://doi.org/10.1088/1755-1315/1410/1/012044openalex-snapshot
The comparison of satellite image, UAV and geotagging photos for recognizing seagrass
inferred← citeshttps://doi.org/10.1093/biosci/biaf199openalex-snapshot
Measuring and Reporting on Seagrass as an Essential Ocean Variable for Science and Management
inferred← citeshttps://doi.org/10.1109/icares67579.2025.11371514openalex-snapshot
Non-Destructive Seagrass Aboveground Carbon Stock Mapping Based on The Relationship with Percent Cover and Remote Sensing Reflectance
inferred← citeshttps://doi.org/10.1109/oceans55160.2024.10753804openalex-snapshot
Towards Transformer-Based Semantic Segmentation of Seagrass in the Baltic Sea with High-Resolution Satellite Images
inferred← citeshttps://doi.org/10.1594/pangaea.946604openalex-snapshot
Seagrass meadows derived from field to spaceborne earth observation at Yule Point, a coastal habitat in the Cairns section of the Great Barrier Reef, October 2017 to July 2020
inferred← citeshttps://doi.org/10.1594/pangaea.946605openalex-snapshot
Seagrass meadows derived from field to spaceborne earth observation at Green Island (Wunyami), a reef habitat in the Cairns section of the Great Barrier Reef, November 2020
inferred← citeshttps://doi.org/10.1594/pangaea.946606openalex-snapshot
Seagrass meadows derived from field to spaceborne earth observation at Midge Point, a coastal habitat in the central section of the Great Barrier Reef, September/October 2017
inferred← citeshttps://doi.org/10.29244/coj.v9i1.61813openalex-snapshot
Temporal Assessment of Seagrass Degradation on Singkep and Lingga Islands, Riau Islands Province, Indonesia (2016-2020)
inferred← citeshttps://doi.org/10.3389/fmars.2023.1197695openalex-snapshot
Subtidal seagrass detector: development of a deep learning seagrass detection and classification model for seagrass presence and density in diverse habitats from underwater photoquadrats
inferred← citeshttps://doi.org/10.3389/fmars.2025.1570277openalex-snapshot
Selecting the best habitat mapping technique: a comparative assessment for fisheries management in Exmouth Gulf
inferred← citeshttps://doi.org/10.3390/atmos17030227openalex-snapshot
Vegetation Responses to Climate Extremes Across China: Lagged Effects and Dominant Drivers Revealed by Long-Term kNDVI Observations
inferred← citeshttps://doi.org/10.3390/rs14153572openalex-snapshot
A Blueprint for the Estimation of Seagrass Carbon Stock Using Remote Sensing-Enabled Proxies
inferred← citeshttps://doi.org/10.3390/rs15030834openalex-snapshot
A Seagrass Mapping Toolbox for South Pacific Environments
inferred← citeshttps://doi.org/10.3390/rs15092321openalex-snapshot
Application of Deep Learning for Classification of Intertidal Eelgrass from Drone-Acquired Imagery
inferred← citeshttps://doi.org/10.3390/rs15102505openalex-snapshot
Special Issue Overview: Advances in Remote Sensing and Mapping for Integrated Studies of Reef Ecosystems in Oceania (Great Barrier Reef and Beyond)
inferred← citeshttps://doi.org/10.3390/rs15153765openalex-snapshot
Quantifying the Potential Contribution of Submerged Aquatic Vegetation to Coastal Carbon Capture in a Delta System from Field and Landsat 8/9-Operational Land Imager (OLI) Data with Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/rs15194695openalex-snapshot
Bibliometric Analysis of Spatial Technology for World Heritage: Application, Trend and Potential Paths
inferred← citeshttps://doi.org/10.3390/rs16071165openalex-snapshot
Quantifying Seagrass Density Using Sentinel-2 Data and Machine Learning
inferred← citeshttps://doi.org/10.3390/rs17142518openalex-snapshot
Eye in the Sky for Sub-Tidal Seagrass Mapping: Leveraging Unsupervised Domain Adaptation with SegFormer for Multi-Source and Multi-Resolution Aerial Imagery
inferred← citeshttps://doi.org/10.3390/rs17152559openalex-snapshot
Remote Sensing Evidence of Blue Carbon Stock Increase and Attribution of Its Drivers in Coastal China
inferred← citeshttps://doi.org/10.3390/rs18152643openalex-snapshot
Radiometric Sensitivity Requirements for Detecting Live Coral and Seagrass Cover Using Spaceborne Imaging Spectroscopy
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