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Characterization of Intertidal Vegetation on European Coasts Using Multi-Scale Remote Sensing in Response to Natural and Anthropogenic Pressures

Characterization of Intertidal Vegetation on European Coasts Using Multi-Scale Remote Sensing in Response to Natural and Anthropogenic Pressures

Manuscript of my thesis

Distribution of the marine invasive alien species Gracilaria vermiculophylla through remote sensing at its first described European site

Distribution of the marine invasive alien species Gracilaria vermiculophylla through remote sensing at its first described European site

Applying and Updating DISCOV to map invasive species.

Under Review in Journal of Environmental Management

Effect of Marine and Atmospheric Heatwaves on Reflectance and Pigment Composition of Intertidal Zostera noltei

Effect of Marine and Atmospheric Heatwaves on Reflectance and Pigment Composition of Intertidal Zostera noltei

Experimental and in situ measurment of heatwaves effect on seagrasses

Under Review in Remote Sensing of Environment

CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space

CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space

A new algorithm to assess Chlorophyll-a concentration in the Arctic Ocean

Zoffoli et al. 2025

Variability of Kappaphycus alvarezii cultivation in South-Sulawesi (Indonesia) related to the monsoon shift: Water quality, growth and colour quantification

Variability of Kappaphycus alvarezii cultivation in South-Sulawesi (Indonesia) related to the monsoon shift: Water quality, growth and colour quantification

Links between wet monsoon conditions in South Sulawesi, improved Kappaphycus alvarezii growth, and higher ice-ice disease risk

Barillé et al. 2025

Discriminating Seagrasses From Green Macroalgae in European Intertidal areas using high resolution multispectral drone imagery

Discriminating Seagrasses From Green Macroalgae in European Intertidal areas using high resolution multispectral drone imagery

Developpment of a neural network classifier for intertidal vegetation mapping: DISCOV

Oiry et al. 2024

Mapping intertidal microphytobenthic biomass with very high-resolution remote sensing imagery in an estuarine system

Mapping intertidal microphytobenthic biomass with very high-resolution remote sensing imagery in an estuarine system

Estimation of microphytobenthos biomass from drone remote sensing

Roman et al. 2024

Intertidal seagrass extent from Sentinel-2 time-series show distinct trajectories in Western Europe

Intertidal seagrass extent from Sentinel-2 time-series show distinct trajectories in Western Europe

AI-powered satellite tracking reveals Europe’s shifting seagrass meadows!

Davies et al. 2024

A sentinel watching over inter-tidal seagrass phenology across Western Europe and North Africa

A sentinel watching over inter-tidal seagrass phenology across Western Europe and North Africa

Neural network model tracks seasonal patterns of seagrass across Europe and North Africa!

Davies et al. 2024

Precision aquaculture drone mapping of the spatial distribution of Kappaphycus alvareezi biomass and carrageenan

Precision aquaculture drone mapping of the spatial distribution of Kappaphycus alvareezi biomass and carrageenan

Drone-based multispectral mapping offers precise insights into Kappaphycus seaweed biomass and carrageenan production across cultivation cycles.

Nurdin et al. 2023

Mapping intertidal oyster farms using unmanned aerial vehicles (UAV) high-resolution multispectral data

Mapping intertidal oyster farms using unmanned aerial vehicles (UAV) high-resolution multispectral data

Drone-based mapping accurately monitors intertidal oyster farms, tracking oyster table structure and mesh sizes across altitudes.

Roman et al . 2023

Multi- and hyperspectral classification of soft-bottom intertidal vegetation using a spectral library for coastal biodiversity remote sensing

Multi- and hyperspectral classification of soft-bottom intertidal vegetation using a spectral library for coastal biodiversity remote sensing

Spectral classification with multispectral and hyperspectral data accurately maps intertidal vegetation types, aiding coastal biodiversity monitoring.

Davies et al. 2023

Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades

Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades

Decades of satellite data reveal a unique, mutually beneficial relationship between Brent geese and intertidal seagrass meadows, highlighting the importance of conservation for both species.

Zoffoli et al. 2022

A Machine-Learning Approach to Intertidal Mudflat Mapping Combining Multispectral Reflectance and Geomorphology from UAV-Based Monitoring

A Machine-Learning Approach to Intertidal Mudflat Mapping Combining Multispectral Reflectance and Geomorphology from UAV-Based Monitoring

Machine learning and UAV mapping enhance accuracy in identifying intertidal mudflat vegetation and habitats, offering a powerful tool for monitoring coastal ecosystems

Brunier et al. 2022

Topographic Analysis of Intertidal Polychaete Reefs (Sabellaria alveolata) at a Very High Spatial Resolution

Topographic Analysis of Intertidal Polychaete Reefs (Sabellaria alveolata) at a Very High Spatial Resolution

High-resolution drone mapping reveals the topographic complexity of Sabellaria alveolata reefs, highlighting their role in biodiversity and coastal protection.
Brunier et al. 2022

Decadal increase in the ecological status of a North-Atlantic intertidal seagrass meadow observed with multi-mission satellite time-series

Decadal increase in the ecological status of a North-Atlantic intertidal seagrass meadow observed with multi-mission satellite time-series

Decades of satellite data show recovery trends in seagrass meadows, highlighting remote sensing as a key tool for long-term ecosystem monitoring.

Zoffoli et al. 2021

Microphytobenthos spatio-temporal dynamics across an intertidal gradient using Random Forest classification and Sentinel-2 imagery

Microphytobenthos spatio-temporal dynamics across an intertidal gradient using Random Forest classification and Sentinel-2 imagery

High-resolution Sentinel-2 imagery and Random Forest classification reveal intricate seasonal dynamics of microphytobenthos in intertidal zones, enhancing understanding of coastal ecosystem patterns and productivity.

Haro et al. 2021

Using sentinel-2 satellite imagery to develop microphytobenthos-based water quality indices in estuaries

Using sentinel-2 satellite imagery to develop microphytobenthos-based water quality indices in estuaries

Satellite-based microphytobenthos mapping offers a new, scalable bioindicator for estuarine water quality in French coastal zones, leveraging Sentinel-2 imagery to reveal nutrient-related trends in intertidal ecosystems

Oiry & Barillé, 2021

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