Research graph
References from A validated <scp>3D</scp> point‐cloud analysis workflow for the creation of seagrass canopy height models. Local targets link to admitted publications; unresolved targets remain external evidence.
Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management
10.1016/j.ecolind.2017.12.029 · 2018 · External reference
Unresolved reference
External reference
The rhizome layer of Posidonia oceanica: An important habitat for Mediterranean brachiopods
10.1007/s12526-019-00968-6 · 2019 · External reference
Dynamics and fate of blue carbon in a mangrove–seagrass seascape: Influence of landscape configuration and land‐use change
10.1007/s10980-021-01216-8 · 2021 · External reference
Satellite images and bathymetric lidar for mapping seagrass meadows: An overview
2024 · External reference
10.18637/jss.v056.i13
10.18637/jss.v056.i13 · External reference
The necromass of the Posidonia oceanica seagrass meadow: Fate, role, ecosystem services and vulnerability
10.1007/s10750-015-2333-y · 2016 · External reference
3D terrestrial lidar data classification of complex natural scenes using a multi‐scale dimensionality criterion: Applications in geomorphology
10.1016/j.isprsjprs.2012.01.006 · 2012 · External reference
Rapid sea level rise causes loss of seagrass meadows
10.1038/s43247-024-01236-7 · 2024 · External reference
Stability and bistability of seagrass ecosystems in shallow coastal lagoons: Role of feedbacks with sediment resuspension and light attenuation
2010 · External reference
Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface‐intensity and drone imagery
10.1080/01431161.2018.1500072 · 2018 · External reference
Role of seagrass physical structure in macrofaunal biodiversity‐ecosystem functioning relationships
10.3354/meps14774 · 2025 · External reference
10.1080/00139157.2013.785864
10.1080/00139157.2013.785864 · External reference
Recent trend reversal for declining European seagrass meadows
10.1038/s41467-019-11340-4 · 2019 · External reference
Sediment dynamics and resuspension processes in a shallow‐water Posidonia oceanica meadow
10.1016/j.margeo.2018.07.006 · 2018 · External reference
Fast and easy method for seagrass monitoring: Application of acoustic telemetry to precision mapping of Posidonia oceanica beds
10.1016/j.marpolbul.2010.10.012 · 2011 · External reference
Discriminating between Posidonia oceanica meadows and sand substratum using multibeam sonar
10.1093/icesjms/fsq130 · 2011 · External reference
The future of seagrass meadows
10.1017/s0376892902000127 · 2002 · External reference
Three‐dimensional digital mapping of ecosystems: A new era in spatial ecology
10.1098/rspb.2019.2383 · 2020 · External reference
3D photogrammetry quantifies growth and external erosion of individual coral colonies and skeletons
10.1038/s41598-017-16408-z · 2017 · External reference
Towards posidonia meadows detection, mapping and automatic recognition using unmanned marine vehicles
10.1016/j.ifacol.2017.08.2504 · 2017 · External reference
Robust characterisation of forest structure from airborne laser scanning—A systematic assessment and sample workflow for ecologists
10.1111/2041-210x.14416 · 2024 · External reference
Influence of the seagrass, Zostera marina L., on current flow
10.1016/0272-7714(82)90046-4 · 1982 · External reference
Flow in seagrass canopies: The influence of patch width
10.1016/j.ecss.2005.09.018 · 2006 · External reference
Unresolved reference
2016 · External reference
Predicting the cumulative effect of multiple disturbances on seagrass connectivity
10.1111/gcb.14127 · 2018 · External reference
Differences among fish assemblages associated with nearshore Posidonia oceanica seagrass beds, rocky–algal reefs and unvegetated sand habitats in the Adriatic Sea
10.1006/ecss.1999.0584 · 2000 · External reference
Blue carbon storage in tropical seagrass meadows relates to carbonate stock dynamics, plant–sediment processes, and landscape context: Insights from the western Indian Ocean
10.1007/s10021-017-0170-8 · 2018 · External reference
10.3354/meps253123
10.3354/meps253123 · External reference
New feature classes for acoustic habitat mapping—A multibeam echosounder point cloud analysis for mapping submerged aquatic vegetation (SAV)
10.3390/geosciences9050235 · 2019 · External reference
High seagrass diversity and canopy‐height increase associated fish diversity and abundance
10.1007/s00227-009-1184-3 · 2009 · External reference
Unresolved reference
External reference
Does hyperspectral imagery improve satellite‐derived bathymetry? A case study from a Posidonia oceanica‐dominated Mediterranean region
10.3390/rs18010046 · 2025 · External reference
Unresolved reference
2020 · External reference
Use of multibeam sonar to map seagrass beds in Otsuchi Bay on the Sanriku Coast of Japan
10.1016/s0990-7440(03)00045-7 · 2003 · External reference
Elliptic Fourier features of a closed contour
10.1016/0146-664x(82)90034-x · 1982 · External reference
A quick, easy and non‐invasive method to quantify coral growth rates using photogrammetry and 3D model comparisons
10.1111/2041-210x.13388 · 2020 · External reference
10.1016/j.ecolind.2023.110209
10.1016/j.ecolind.2023.110209 · External reference
Effects of mining wastes on a seagrass ecosystem: Metal accumulation and bioavailability, seagrass dynamics and associated community structure
10.1016/j.marenvres.2004.11.002 · 2005 · External reference
3D photogrammetry and deep‐learning deliver accurate estimates of epibenthic biomass
10.1111/2041-210x.14313 · 2024 · External reference
10.3354/meps13338
10.3354/meps13338 · External reference
The global distribution of seagrass meadows
10.1088/1748-9326/ab7d06 · 2020 · External reference
Flat versus hemispherical dome ports in underwater photogrammetry
10.5194/isprs-archives-xlii-2-w3-481-2017 · 2017 · External reference
Interaction between hydrodynamics and seagrass canopy structure: Spatially explicit effects on ammonium uptake rates
10.4319/lo.2008.53.4.1531 · 2008 · External reference
The role of seagrasses in coastal protection in a changing climate
10.1016/j.coastaleng.2013.11.005 · 2014 · External reference
Visualizations with statistical details: The ‘ggstatsplot’ approach
10.21105/joss.03167 · 2021 · External reference
Assessing the EU27 potential to meet the nature restoration law targets
10.1007/s00267-024-02107-9 · 2025 · External reference
An integrated approach for the benthic habitat mapping based on innovative surveying technologies and ecosystem functioning measurements
10.1038/s41598-024-56662-6 · 2024 · External reference
How to evaluate models: Observed vs. predicted or predicted vs. observed?
10.1016/j.ecolmodel.2008.05.006 · 2008 · External reference
Canopy structure at the edge of seagrass affects sea urchin distribution
10.3354/meps10326 · 2013 · External reference
Ground filtering and vegetation mapping using multi‐return terrestrial laser scanning
10.1016/j.isprsjprs.2012.08.003 · 2013 · External reference
10.1007/s00338‐019‐01827‐3
10.1007/s00338‐019‐01827‐3 · External reference
As above, so below: A perspective into the application of land‐forest monitoring methods for the assessment of marine animal forests
10.1111/2041-210x.70242 · 2026 · External reference
Unresolved reference
2015 · External reference
Ultra‐high‐resolution mapping of Posidonia oceanica (L.) Delile meadows through acoustic, optical data and object‐based image classification
10.3390/jmse8090647 · 2020 · External reference
Assessing seagrass restoration actions through a micro‐bathymetry survey approach (Italy, Mediterranean Sea)
10.3390/w14081285 · 2022 · External reference
10.1109/metrosea66681.2025.11245736
10.1109/metrosea66681.2025.11245736 · 2025 · External reference
10.1109/metrosea55331.2022.9950873
10.1109/metrosea55331.2022.9950873 · 2022 · External reference
An enhanced photogrammetric approach for the underwater surveying of the Posidonia meadow structure in the Spiaggia Nera area of Maratea
10.3390/jimaging9060113 · 2023 · External reference
Organic carbon in seagrass sediments is influenced by seagrass canopy complexity, turbidity, wave height, and water depth
10.1002/lno.10262 · 2016 · External reference
Accuracy of unmanned aerial vehicle (UAV) and SfM photogrammetry survey as a function of the number and location of ground control points used
10.3390/rs10101606 · 2018 · External reference
A regional and international framework for evaluating seagrass management and conservation
10.1016/j.marpol.2022.105306 · 2022 · External reference
3D‐reconstruction of a giant Posidonia oceanica beach wrack (banquette): Sizing biomass, carbon and nutrient stocks by combining field data with high‐resolution UAV photogrammetry
10.3389/fmars.2022.903138 · 2022 · External reference
The use of very high resolution images for studying Posidonia oceanica reefs
2020 · External reference
Economic assessment of ecosystem services: Monetary value of seagrass meadows for coastal fisheries
10.1016/j.ocecoaman.2014.04.032 · 2014 · External reference
Positive feedbacks in seagrass ecosystems: Implications for success in conservation and restoration
10.1007/s10021-007-9099-7 · 2007 · External reference
10.3389/fmars.2022.1096594
10.3389/fmars.2022.1096594 · External reference
10.1016/j.jenvman.2021.114262
10.1016/j.jenvman.2021.114262 · External reference
10.1016/j.jenvman.2025.124589
10.1016/j.jenvman.2025.124589 · External reference
Semi‐automated bathymetry using Sentinel‐2 for coastal monitoring in the Western Mediterranean
10.1016/j.jag.2023.103328 · 2023 · External reference
Accelerating loss of seagrasses across the globe threatens coastal ecosystems
10.1073/pnas.0905620106 · 2009 · External reference
Classification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis
10.1016/j.enggeo.2019.105326 · 2019 · External reference
An easy‐to‐use airborne LiDAR data filtering method based on cloth simulation
10.3390/rs8060501 · 2016 · External reference
Organic carbon in seagrass sediments is influenced by seagrass canopy complexity, turbidity, wave height, and water depth
10.1002/lno.10262 · ExternalCitation · doi-reference
Differences among fish assemblages associated with nearshore Posidonia oceanica seagrass beds, rocky–algal reefs and unvegetated sand habitats in the Adriatic Sea
10.1006/ecss.1999.0584 · ExternalCitation · doi-reference
High seagrass diversity and canopy‐height increase associated fish diversity and abundance
10.1007/s00227-009-1184-3 · ExternalCitation · doi-reference
Assessing the EU27 potential to meet the nature restoration law targets
10.1007/s00267-024-02107-9 · ExternalCitation · doi-reference
10.1007/s00338‐019‐01827‐3
10.1007/s00338‐019‐01827‐3 · ExternalCitation · doi-reference
Positive feedbacks in seagrass ecosystems: Implications for success in conservation and restoration
10.1007/s10021-007-9099-7 · ExternalCitation · doi-reference
Blue carbon storage in tropical seagrass meadows relates to carbonate stock dynamics, plant–sediment processes, and landscape context: Insights from the western Indian Ocean
10.1007/s10021-017-0170-8 · ExternalCitation · doi-reference
The necromass of the Posidonia oceanica seagrass meadow: Fate, role, ecosystem services and vulnerability
10.1007/s10750-015-2333-y · ExternalCitation · doi-reference
Dynamics and fate of blue carbon in a mangrove–seagrass seascape: Influence of landscape configuration and land‐use change
10.1007/s10980-021-01216-8 · ExternalCitation · doi-reference
The rhizome layer of Posidonia oceanica: An important habitat for Mediterranean brachiopods
10.1007/s12526-019-00968-6 · ExternalCitation · doi-reference
Elliptic Fourier features of a closed contour
10.1016/0146-664x(82)90034-x · ExternalCitation · doi-reference
Influence of the seagrass, Zostera marina L., on current flow
10.1016/0272-7714(82)90046-4 · ExternalCitation · doi-reference
The role of seagrasses in coastal protection in a changing climate
10.1016/j.coastaleng.2013.11.005 · ExternalCitation · doi-reference
Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management
10.1016/j.ecolind.2017.12.029 · ExternalCitation · doi-reference
10.1016/j.ecolind.2023.110209
10.1016/j.ecolind.2023.110209 · ExternalCitation · doi-reference
How to evaluate models: Observed vs. predicted or predicted vs. observed?
10.1016/j.ecolmodel.2008.05.006 · ExternalCitation · doi-reference
Flow in seagrass canopies: The influence of patch width
10.1016/j.ecss.2005.09.018 · ExternalCitation · doi-reference
Classification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis
10.1016/j.enggeo.2019.105326 · ExternalCitation · doi-reference
Towards posidonia meadows detection, mapping and automatic recognition using unmanned marine vehicles
10.1016/j.ifacol.2017.08.2504 · ExternalCitation · doi-reference
3D terrestrial lidar data classification of complex natural scenes using a multi‐scale dimensionality criterion: Applications in geomorphology
10.1016/j.isprsjprs.2012.01.006 · ExternalCitation · doi-reference
Ground filtering and vegetation mapping using multi‐return terrestrial laser scanning
10.1016/j.isprsjprs.2012.08.003 · ExternalCitation · doi-reference
Semi‐automated bathymetry using Sentinel‐2 for coastal monitoring in the Western Mediterranean
10.1016/j.jag.2023.103328 · ExternalCitation · doi-reference
10.1016/j.jenvman.2021.114262
10.1016/j.jenvman.2021.114262 · ExternalCitation · doi-reference
10.1016/j.jenvman.2025.124589
10.1016/j.jenvman.2025.124589 · ExternalCitation · doi-reference
Effects of mining wastes on a seagrass ecosystem: Metal accumulation and bioavailability, seagrass dynamics and associated community structure
10.1016/j.marenvres.2004.11.002 · ExternalCitation · doi-reference
Sediment dynamics and resuspension processes in a shallow‐water Posidonia oceanica meadow
10.1016/j.margeo.2018.07.006 · ExternalCitation · doi-reference
A regional and international framework for evaluating seagrass management and conservation
10.1016/j.marpol.2022.105306 · ExternalCitation · doi-reference
Fast and easy method for seagrass monitoring: Application of acoustic telemetry to precision mapping of Posidonia oceanica beds
10.1016/j.marpolbul.2010.10.012 · ExternalCitation · doi-reference
Economic assessment of ecosystem services: Monetary value of seagrass meadows for coastal fisheries
10.1016/j.ocecoaman.2014.04.032 · ExternalCitation · doi-reference
Use of multibeam sonar to map seagrass beds in Otsuchi Bay on the Sanriku Coast of Japan
10.1016/s0990-7440(03)00045-7 · ExternalCitation · doi-reference
The future of seagrass meadows
10.1017/s0376892902000127 · ExternalCitation · doi-reference
Recent trend reversal for declining European seagrass meadows
10.1038/s41467-019-11340-4 · ExternalCitation · doi-reference
3D photogrammetry quantifies growth and external erosion of individual coral colonies and skeletons
10.1038/s41598-017-16408-z · ExternalCitation · doi-reference
An integrated approach for the benthic habitat mapping based on innovative surveying technologies and ecosystem functioning measurements
10.1038/s41598-024-56662-6 · ExternalCitation · doi-reference
Rapid sea level rise causes loss of seagrass meadows
10.1038/s43247-024-01236-7 · ExternalCitation · doi-reference
Accelerating loss of seagrasses across the globe threatens coastal ecosystems
10.1073/pnas.0905620106 · ExternalCitation · doi-reference
10.1080/00139157.2013.785864
10.1080/00139157.2013.785864 · ExternalCitation · doi-reference
Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface‐intensity and drone imagery
10.1080/01431161.2018.1500072 · ExternalCitation · doi-reference
The global distribution of seagrass meadows
10.1088/1748-9326/ab7d06 · ExternalCitation · doi-reference
Discriminating between Posidonia oceanica meadows and sand substratum using multibeam sonar
10.1093/icesjms/fsq130 · ExternalCitation · doi-reference
Three‐dimensional digital mapping of ecosystems: A new era in spatial ecology
10.1098/rspb.2019.2383 · ExternalCitation · doi-reference
10.1109/metrosea55331.2022.9950873
10.1109/metrosea55331.2022.9950873 · ExternalCitation · doi-reference
10.1109/metrosea66681.2025.11245736
10.1109/metrosea66681.2025.11245736 · ExternalCitation · doi-reference
A quick, easy and non‐invasive method to quantify coral growth rates using photogrammetry and 3D model comparisons
10.1111/2041-210x.13388 · ExternalCitation · doi-reference
3D photogrammetry and deep‐learning deliver accurate estimates of epibenthic biomass
10.1111/2041-210x.14313 · ExternalCitation · doi-reference
Robust characterisation of forest structure from airborne laser scanning—A systematic assessment and sample workflow for ecologists
10.1111/2041-210x.14416 · ExternalCitation · doi-reference
As above, so below: A perspective into the application of land‐forest monitoring methods for the assessment of marine animal forests
10.1111/2041-210x.70242 · ExternalCitation · doi-reference
Predicting the cumulative effect of multiple disturbances on seagrass connectivity
10.1111/gcb.14127 · ExternalCitation · doi-reference
10.18637/jss.v056.i13
10.18637/jss.v056.i13 · ExternalCitation · doi-reference
Visualizations with statistical details: The ‘ggstatsplot’ approach
10.21105/joss.03167 · ExternalCitation · doi-reference
Canopy structure at the edge of seagrass affects sea urchin distribution
10.3354/meps10326 · ExternalCitation · doi-reference
10.3354/meps13338
10.3354/meps13338 · ExternalCitation · doi-reference
Role of seagrass physical structure in macrofaunal biodiversity‐ecosystem functioning relationships
10.3354/meps14774 · ExternalCitation · doi-reference
10.3354/meps253123
10.3354/meps253123 · ExternalCitation · doi-reference
10.3389/fmars.2022.1096594
10.3389/fmars.2022.1096594 · ExternalCitation · doi-reference
3D‐reconstruction of a giant Posidonia oceanica beach wrack (banquette): Sizing biomass, carbon and nutrient stocks by combining field data with high‐resolution UAV photogrammetry
10.3389/fmars.2022.903138 · ExternalCitation · doi-reference
New feature classes for acoustic habitat mapping—A multibeam echosounder point cloud analysis for mapping submerged aquatic vegetation (SAV)
10.3390/geosciences9050235 · ExternalCitation · doi-reference
An enhanced photogrammetric approach for the underwater surveying of the Posidonia meadow structure in the Spiaggia Nera area of Maratea
10.3390/jimaging9060113 · ExternalCitation · doi-reference
Ultra‐high‐resolution mapping of Posidonia oceanica (L.) Delile meadows through acoustic, optical data and object‐based image classification
10.3390/jmse8090647 · ExternalCitation · doi-reference
Accuracy of unmanned aerial vehicle (UAV) and SfM photogrammetry survey as a function of the number and location of ground control points used
10.3390/rs10101606 · ExternalCitation · doi-reference
Does hyperspectral imagery improve satellite‐derived bathymetry? A case study from a Posidonia oceanica‐dominated Mediterranean region
10.3390/rs18010046 · ExternalCitation · doi-reference
An easy‐to‐use airborne LiDAR data filtering method based on cloth simulation
10.3390/rs8060501 · ExternalCitation · doi-reference
Assessing seagrass restoration actions through a micro‐bathymetry survey approach (Italy, Mediterranean Sea)
10.3390/w14081285 · ExternalCitation · doi-reference
Interaction between hydrodynamics and seagrass canopy structure: Spatially explicit effects on ammonium uptake rates
10.4319/lo.2008.53.4.1531 · ExternalCitation · doi-reference
Flat versus hemispherical dome ports in underwater photogrammetry
10.5194/isprs-archives-xlii-2-w3-481-2017 · ExternalCitation · doi-reference
