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
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
The impact of forest canopy structure on modelled photosynthesis. 2024-03-08
DOI: https://doi.org/10.5194/egusphere-egu24-5471
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