Patrice Carbonneau

Patrice Carbonneau

Durham University

H-index: 32

Europe-United Kingdom

About Patrice Carbonneau

Patrice Carbonneau, With an exceptional h-index of 32 and a recent h-index of 23 (since 2020), a distinguished researcher at Durham University, specializes in the field of Rivers, Remote Sensing, Image Processing, Fluvial Ecology and Geomprphology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Monitoring river morphology with Sentinel 2 data: limitations and opportunities across scales

An AI approach to operationalise global daily PlanetScope satellite imagery for river water masking

Global mapping of river sediment bars

Quantifying the impact of spatiotemporal resolution on the interpretation of fluvial geomorphic feature dynamics from Sentinel 2 imagery: An application on a braided river …

Seasonal variations of river and lake water surface areas at global scale.

Mapping riverbed sediment size from Sentinel‐2 satellite data

Comparison of deep learning methods for colorizing historical aerial imagery

Seasonal monitoring of river and lake water surface areas at global scale with deep learning

Patrice Carbonneau Information

University

Position

___

Citations(all)

4972

Citations(since 2020)

2548

Cited By

3599

hIndex(all)

32

hIndex(since 2020)

23

i10Index(all)

44

i10Index(since 2020)

34

Email

University Profile Page

Durham University

Google Scholar

View Google Scholar Profile

Patrice Carbonneau Skills & Research Interests

Rivers

Remote Sensing

Image Processing

Fluvial Ecology and Geomprphology

Top articles of Patrice Carbonneau

Title

Journal

Author(s)

Publication Date

Monitoring river morphology with Sentinel 2 data: limitations and opportunities across scales

Elisa Bozzolan

Simone Bizzi

Andrea Brenna

Nicola Surian

Patrice Carbonneau

2024/3/7

An AI approach to operationalise global daily PlanetScope satellite imagery for river water masking

Remote Sensing of Environment

Samuel J Valman

Doreen S Boyd

Patrice E Carbonneau

Matthew F Johnson

Stephen J Dugdale

2024/2/1

Global mapping of river sediment bars

Earth Surface Processes and Landforms

Patrice E Carbonneau

Simone Bizzi

2024/1

Quantifying the impact of spatiotemporal resolution on the interpretation of fluvial geomorphic feature dynamics from Sentinel 2 imagery: An application on a braided river …

Water Resources Research

Elisa Bozzolan

Andrea Brenna

Nicola Surian

Patrice Carbonneau

Simone Bizzi

2023/12

Seasonal variations of river and lake water surface areas at global scale.

Patrice Carbonneau

Simone Bizzi

2022/11/21

Mapping riverbed sediment size from Sentinel‐2 satellite data

Earth Surface Processes and Landforms

Giulia Marchetti

Simone Bizzi

Barbara Belletti

Barbara Lastoria

Francesco Comiti

...

2022/8

Comparison of deep learning methods for colorizing historical aerial imagery

EGU General Assembly Conference Abstracts

Shimon Tanaka

Hitoshi Miyamoto

Ryusei Ishii

Patrice Carbonneau

2022/5

Seasonal monitoring of river and lake water surface areas at global scale with deep learning

Patrice Carbonneau

Simone Bizzi

2022/11/28

Colorisation of archival aerial imagery using deep learning

EGU General Assembly Conference Abstracts

Ryusei Ishii

Patrice Carbonneau

Hitoshi Miyamoto

2021/4

Image classification of marine-terminating outlet glaciers in Greenland using deep learning methods

The Cryosphere

Melanie Marochov

Chris R Stokes

Patrice E Carbonneau

2021/11/1

Machine learning-based grain size mapping from satellite images

EGU General Assembly Conference Abstracts

Giulia Marchetti

Simone Bizzi

Barbara Belletti

Barbara Lastoria

Stefano Mariani

...

2021/4

UAV‐based training for fully fuzzy classification of Sentinel‐2 fluvial scenes

Earth surface processes and landforms

Patrice E Carbonneau

Barbara Belletti

Marco Micotti

B Lastoria

M Casaioli

...

2020/10

Automated image classification of outlet glaciers in Greenland using deep learning

EGU General Assembly Conference Abstracts

Melanie Marochov

Patrice Carbonneau

Chris Stokes

2020/5

Adopting deep learning methods for airborne RGB fluvial scene classification.

Remote Sensing of Environment

Patrice E Carbonneau

Stephen J Dugdale

Toby P Breckon

James T Dietrich

Mark A Fonstad

...

2020/12/15

Remotely sensed rivers in the Anthropocene: State of the art and prospects

Hervé Piégay

Fanny Arnaud

Barbara Belletti

Mélanie Bertrand

Simone Bizzi

...

2020/1

See List of Professors in Patrice Carbonneau University(Durham University)