Mathias Disney

Mathias Disney

University College London

H-index: 54

Europe-United Kingdom

About Mathias Disney

Mathias Disney, With an exceptional h-index of 54 and a recent h-index of 46 (since 2020), a distinguished researcher at University College London, specializes in the field of Remote sensing, radiative transfer, terrestrial lidar, biomass, albedo.

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

Limitations of estimating branch volume from terrestrial laser scanning

Consistent patterns of common species across tropical tree communities

Tree Surface Area Allometry

Giant sequoia (Sequoiadendron giganteum) in the UK: carbon storage potential and growth rates

Understanding different dominance patterns in western Amazonian forests

The impact of forest canopy structure on modelled photosynthesis

Analysing individual 3D tree structure using the R package ITSMe

TLS2trees: A scalable tree segmentation pipeline for TLS data

Mathias Disney Information

University

Position

Professor of Remote Sensing

Citations(all)

13144

Citations(since 2020)

7229

Cited By

8681

hIndex(all)

54

hIndex(since 2020)

46

i10Index(all)

119

i10Index(since 2020)

103

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Mathias Disney Skills & Research Interests

Remote sensing

radiative transfer

terrestrial lidar

biomass

albedo

Top articles of Mathias Disney

Title

Journal

Author(s)

Publication Date

Limitations of estimating branch volume from terrestrial laser scanning

European Journal of Forest Research

Christopher Morhart

Zoe Schindler

Julian Frey

Jonathan P Sheppard

Kim Calders

...

2024/1/14

Consistent patterns of common species across tropical tree communities

Nature

Declan LM Cooper

Simon L Lewis

Martin JP Sullivan

Paulo I Prado

Hans Ter Steege

...

2024/1/10

Tree Surface Area Allometry

bioRxiv

Alexander Shenkin

Phil Wilkes

Brian J Enquist

Alvaro Lau Sarmiento

Andrew Burt

...

2024

Giant sequoia (Sequoiadendron giganteum) in the UK: carbon storage potential and growth rates

Royal Society Open Science

Ross Holland

Guilherme Castro

Cecilia Chavana-Bryant

Ron Levy

Justin Moat

...

2024/3/13

Understanding different dominance patterns in western Amazonian forests

Ecology Letters

Laura Matas‐Granados

Frederick C Draper

Luis Cayuela

Julia G de Aledo

Gabriel Arellano

...

2024/1

The impact of forest canopy structure on modelled photosynthesis

Megan Stretton

Tristan Quaife

Phil Wilkes

Mathias Disney

2024/3/7

Analysing individual 3D tree structure using the R package ITSMe

Methods in Ecology and Evolution

Louise Terryn

Kim Calders

Markku Åkerblom

Harm Bartholomeus

Mathias Disney

...

2023/1

TLS2trees: A scalable tree segmentation pipeline for TLS data

Methods in Ecology and Evolution

Phil Wilkes

Mathias Disney

John Armston

Harm Bartholomeus

Lisa Bentley

...

2023/12

TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono-and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and in-situ forest …

Remote Sensing of Environment

Stefano Tebaldini

Mauro Mariotti d'Alessandro

Lars MH Ulander

Patrik Bennet

Anders Gustavsson

...

2023/5/15

Monitoring canopy quality and improving equitable outcomes of urban tree planting using LiDAR and machine learning

Urban Forestry & Urban Greening

John Francis

Mathias Disney

Stephen Law

2023/11/1

Using terrestrial laser scanning to evaluate non-destructive aboveground biomass allometries in diverse Northern California forests

Frontiers in Remote Sensing

Paris Krause

Brieanne Forbes

Alexander Barajas-Ritchie

Matthew Clark

Mathias Disney

...

2023/5/10

Sensitivity of South American tropical forests to an extreme climate anomaly

Abel Monteagudo-Mendoza

Adriane Esquivel-Muelbert

Fernanda Coelho de Souza

Luisa Fernanda Duque

Gerardo Flores Llampazo

...

2023/9/4

Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

Nature

Julia Valentim Tavares

Rafael S Oliveira

Maurizio Mencuccini

Caroline Signori-Müller

Luciano Pereira

...

2023/5/4

Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees

International Journal of Applied Earth Observation and Geoinformation

Yujie Cao

James GC Ball

David A Coomes

Leon Steinmeier

Nikolai Knapp

...

2023/9/1

Toward a forest biomass reference measurement system for remote sensing applications

Nicolas Labrière

Stuart J Davies

Mathias I Disney

Laura I Duncanson

Martin Herold

...

2023/2

Terrestrial Laser Scanning Has Potential to Support Cal/Val Activities of Radar Biomass Estimates

Wouter Van den Broeck

Zane Cooper

Wout Cherlet

Kim Calders

Mathias Disney

...

2023

Comparing dendritic trees with actual trees

arXiv preprint arXiv:2307.01499

Roozbeh Farhoodi

Phil Wilkes

Anirudh M Natarajan

Samantha Esteves

Julie L Lefebvre

...

2023/7/4

Reconstructing the digital twin of forests from a 3D library: Quantifying trade-offs for radiative transfer modeling

Remote Sensing of Environment

Chang Liu

Kim Calders

Niall Origo

Mathias Disney

Félicien Meunier

...

2023/12/1

Comparing remote sensing and field-based approaches to estimate ladder fuels and predict wildfire burn severity

Frontiers in Forests and Global Change

Brieanne Forbes

Sean Reilly

Matthew Clark

Ryan Ferrell

Allison Kelly

...

2022/4/6

Sentinel-1 shadows used to quantify canopy loss from selective logging in Gabon

Remote Sensing

Harry Carstairs

Edward TA Mitchard

Iain McNicol

Chiara Aquino

Eric Chezeaux

...

2022/8/27

See List of Professors in Mathias Disney University(University College London)

Co-Authors

H-index: 143
Yadvinder Malhi

Yadvinder Malhi

University of Oxford

H-index: 97
Alan Strahler

Alan Strahler

Boston University

H-index: 94
Martin Herold

Martin Herold

Wageningen Universiteit

H-index: 87
Crystal Schaaf

Crystal Schaaf

University of Massachusetts Boston

H-index: 63
Jan-Peter Muller

Jan-Peter Muller

University College London

H-index: 50
Philip Lewis

Philip Lewis

University College London

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