Our People
Professor Mathias (Mat) Disney
Divisional Director Carbon Cycle
Carbon cycle: land, atmosphere and oceans
Research interests
I am interested in vegetation – particularly trees, forests and the carbon cycle. I use EO data such as ground-based and other lidar, to make measurements of forests and carbon as well as to understand radiative transfer in these systems.
Recent publications
The impact of forest canopy structure on modelled photosynthesis. 2024-11-27
DOI: https://doi.org/10.5194/egusphere-egu24-5471
Bitemporal Radiative Transfer Modeling Using Bitemporal 3D-Explicit Forest Reconstruction from Terrestrial Laser Scanning. 2024-09-29
DOI: https://doi.org/10.3390/rs16193639
Detecting selective logging in tropical forests with optical satellite data: an experiment in Peru shows texture at 3 m gives the best results. 2024-07-30
DOI: https://doi.org/10.1002/rse2.414
Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought. 2024-07-10
DOI: https://doi.org/10.1038/s43247-024-01448-x
Tree Surface Area Allometry. 2024-04-28
DOI: https://doi.org/10.1101/2024.04.23.590783
Limitations of estimating branch volume from terrestrial laser scanning. 2024-04
DOI: https://doi.org/10.1007/s10342-023-01651-z
Giant sequoia ( Sequoiadendron giganteum ) in the UK: carbon storage potential and growth rates. 2024-03
DOI: https://doi.org/10.1098/rsos.230603
TLS2trees: A scalable tree segmentation pipeline for TLS data. 2023-12
DOI: https://doi.org/10.1111/2041-210X.14233
Toward a forest biomass reference measurement system for remote sensing applications. 2023-02
DOI: https://doi.org/10.1111/gcb.16497
Analysing individual 3D tree structure using the R package ITSMe. 2023-01
DOI: https://doi.org/10.1111/2041-210X.14026
TLS2trees: a scalable tree segmentation pipeline for TLS data. 2022-12-11
DOI: https://doi.org/10.1101/2022.12.07.518693
Laser scanning reveals potential underestimation of biomass carbon in temperate forest. 2022-10
DOI: https://doi.org/10.1002/2688-8319.12197
Sentinel-1 Shadows Used to Quantify Canopy Loss from Selective Logging in Gabon. 2022-08-27
DOI: https://doi.org/10.3390/rs14174233
Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions. 2022-08
DOI: https://doi.org/10.1111/2041-210X.13906
Implications of 3D Forest Stand Reconstruction Methods for Radiative Transfer Modeling: A Case Study in the Temperate Deciduous Forest. 2022-07-27
DOI: https://doi.org/10.1029/2021JD036175
Gaining insight into the allometric scaling of trees by utilizing 3d reconstructed tree models – a SimpleForest study. 2022-05-05
DOI: https://doi.org/10.1101/2022.05.05.490069
Detecting Tropical Forest Degradation Using Optical Satellite Data: An Experiment in Peru Show Texture at 3 M Gives Best Results. 2022-02-09
DOI: https://doi.org/10.20944/preprints202202.0141.v1
An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas. 2022-01-18
DOI: https://doi.org/10.3390/rs14030452
Terrestrial laser scanning to reconstruct branch architecture from harvested branches. 2021-12
DOI: https://doi.org/10.1111/2041-210X.13709
To What Extent Can UAV Photogrammetry Replicate UAV LiDAR to Determine Forest Structure? A Test in Two Contrasting Tropical Forests. 2021-12
DOI: https://doi.org/10.1029/2021JG006586
An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas. 2021-11-09
DOI: https://doi.org/10.20944/preprints202111.0189.v1
SimpleForest – a comprehensive tool for 3d reconstruction of trees from forest plot point clouds. 2021-07-30
DOI: https://doi.org/10.1101/2021.07.29.454344
New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar. 2021-02
DOI: https://doi.org/10.1098/rsos.201458
Quantifying urban forest structure with open-access remote sensing data sets. 2020-04
DOI: https://doi.org/10.1016/j.ufug.2020.126653
Transpiration from subarctic deciduous woodlands: Environmental controls and contribution to ecosystem evapotranspiration. 2020-04
DOI: https://doi.org/10.1002/eco.2190
3D forest model-assisted validation of the Sentinel-2 SNAP fAPAR product. 2020-03-23
DOI: https://doi.org/10.5194/egusphere-egu2020-7124
Time for a Plant Structural Economics Spectrum. 2020-03-23
DOI: https://doi.org/10.5194/egusphere-egu2020-8670
Theoretical uncertainties for global satellite-derived burned area estimates. 2019-08-23
DOI: https://doi.org/10.5194/bg-16-3147-2019
Innovations in Ground and Airborne Technologies as Reference and for Training and Validation: Terrestrial Laser Scanning (TLS). 2019-07-29
DOI: https://doi.org/10.1007/s10712-019-09527-x
Terrestrial LiDAR: a three‐dimensional revolution in how we look at trees. 2019-06
DOI: https://doi.org/10.1111/nph.15517
Leaf and wood classification framework for terrestrial LiDAR point clouds. 2019-05
DOI: https://doi.org/10.1111/2041-210X.13144
Theoretical uncertainties for global satellite-derived burned area estimates. 2019-04-03
DOI: https://doi.org/10.5194/bg-2019-115
Extracting individual trees from lidar point clouds using treeseg. 2019-03
DOI: https://doi.org/10.1111/2041-210X.13121
Performance of Laser-Based Electronic Devices for Structural Analysis of Amazonian Terra-Firme Forests. 2019-03
DOI: https://www.mdpi.com/2072-4292/11/5/510
Finite element analysis of trees in the wind based on terrestrial laser scanning data. 2019-02
DOI: https://doi.org/10.1016/j.agrformet.2018.11.014
New estimates of leaf angle distribution from terrestrial LiDAR: Comparison with measured and modelled estimates from nine broadleaf tree species. 2019-01
DOI: https://doi.org/10.1016/j.agrformet.2018.10.021
Decoupling Canopy Structure and Leaf Biochemistry: Testing the Utility of Directional Area Scattering Factor (DASF). 2018-11-29
DOI: https://doi.org/10.3390/rs10121911
Detecting Human Presence and Influence on Neotropical Forests with Remote Sensing. 2018-10-05
DOI: https://doi.org/10.3390/rs10101593
Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling. 2018-06
DOI: http://www.mdpi.com/2072-4292/10/6/933
New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning. 2018-04-06
DOI: https://doi.org/10.1098/rsfs.2017.0052
Non-intersecting leaf insertion algorithm for tree structure models. 2018-04-06
DOI: https://doi.org/10.1098/rsfs.2017.0045
The terrestrial laser scanning revolution in forest ecology. 2018-04-06
DOI: https://doi.org/10.1098/rsfs.2018.0001
Weighing trees with lasers: advances, challenges and opportunities. 2018-04-06
DOI: https://doi.org/10.1098/rsfs.2017.0048
Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR. 2018-02
DOI: https://doi.org/10.1111/2041-210X.12904
A New Global fAPAR and LAI Dataset Derived from Optimal Albedo Estimates: Comparison with MODIS Products. 2016-03