2015 - National Institutes of Health Director's Pioneer Award
Mathias Disney mainly focuses on Remote sensing, Canopy, Radiative transfer, Point cloud and Hyperspectral imaging. His Remote sensing study combines topics from a wide range of disciplines, such as Radiation transfer, Vegetation, Reflectivity and Albedo. His work focuses on many connections between Reflectivity and other disciplines, such as Nadir, that overlap with his field of interest in Radiometry and Bidirectional reflectance distribution function.
His Canopy study integrates concerns from other disciplines, such as Range, Betula pubescens and Basal area. His work carried out in the field of Radiative transfer brings together such families of science as Transmittance, Shortwave radiation, Remote sensing application and Scale. His work deals with themes such as Algorithm, Forest inventory, Concordance correlation coefficient and Laser scanning, which intersect with Point cloud.
His main research concerns Remote sensing, Lidar, Atmospheric sciences, Canopy and Vegetation. His Remote sensing research includes elements of Bidirectional reflectance distribution function, Radiative transfer, Earth observation and Leaf area index. His study in Bidirectional reflectance distribution function is interdisciplinary in nature, drawing from both Albedo and Meteorology.
The various areas that Mathias Disney examines in his Lidar study include Tree, Point cloud, Range and Allometry. His Canopy research includes elements of Scattering, Reflectivity, Hyperspectral imaging and Radiometry. His work carried out in the field of Vegetation brings together such families of science as Image resolution, Land cover, Forest ecology, Ecosystem and Scale.
Atmospheric sciences, Lidar, Tree, Remote sensing and Forest ecology are his primary areas of study. His Atmospheric sciences research integrates issues from Wind speed, Tropics, Evapotranspiration and Allometry. In his study, Vegetation and Ecosystem is strongly linked to Biomass, which falls under the umbrella field of Lidar.
He interconnects Statistics, Propagation of uncertainty and Woody plant in the investigation of issues within Tree. The study incorporates disciplines such as Point cloud, Radiative transfer and Spatial heterogeneity in addition to Remote sensing. His Forest ecology research is multidisciplinary, relying on both Eddy covariance, Field and Scale.
Mathias Disney mostly deals with Remote sensing, Lidar, Tree, Point cloud and Forest ecology. His work on Remote sensing as part of his general Remote sensing study is frequently connected to Data quality, thereby bridging the divide between different branches of science. His Lidar research is multidisciplinary, incorporating perspectives in Aboveground biomass and Environmental resource management.
His Tree research focuses on subjects like Scale, which are linked to Biomass, Photogrammetry and Tree structure. His biological study spans a wide range of topics, including Parametric statistics and Tree canopy. His studies in Forest ecology integrate themes in fields like Temperate rainforest and Atmospheric sciences.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
First operational BRDF, albedo nadir reflectance products from MODIS
Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht.
Remote Sensing of Environment (2002)
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen.
Remote Sensing (2013)
Nondestructive estimates of above‐ground biomass using terrestrial laser scanning
Kim Calders;Glenn Newnham;Andrew Burt;Simon Murphy.
Methods in Ecology and Evolution (2015)
Hyperspectral remote sensing of foliar nitrogen content.
Yuri Knyazikhin;Mitchell A. Schull;Pauline Stenberg;Matti Mõttus.
Proceedings of the National Academy of Sciences of the United States of America (2013)
Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models
Jean-Luc Widlowski;Malcolm Taberner;Bernard Pinty;Véronique Bruniquel-Pinel.
Journal of Geophysical Research (2007)
Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence?
J Grace;C Nichol;M Disney;P Lewis.
Global Change Biology (2007)
Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase
B. Pinty;J.-L. Widlowski;M. Taberner;N. Gobron.
Journal of Geophysical Research (2004)
3d modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains
M. Disney;P. Lewis;P. Saich.
Remote Sensing of Environment (2006)
Monte Carlo ray tracing in optical canopy reflectance modelling
M.I. Disney;P. Lewis;P.R.J. North.
Remote Sensing Reviews , 18 (2) pp. 163-196. (2000) (2000)
Canopy spectral invariants for remote sensing and model applications
Dong Huang;Yuri Knyazikhin;Robert Earl Dickinson;Miina Rautiainen.
Remote Sensing of Environment (2007)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: