What is he best known for?
The fields of study he is best known for:
- Statistics
- Remote sensing
- Ecosystem
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 most cited work include:
- First operational BRDF, albedo nadir reflectance products from MODIS (1631 citations)
- Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (327 citations)
- Hyperspectral remote sensing of foliar nitrogen content. (286 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Remote sensing (58.94%)
- Lidar (28.99%)
- Atmospheric sciences (28.02%)
What were the highlights of his more recent work (between 2018-2021)?
- Atmospheric sciences (28.02%)
- Lidar (28.99%)
- Tree (12.56%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- The Importance of Consistent Global Forest Aboveground Biomass Product Validation (39 citations)
- Leaf and wood classification framework for terrestrial LiDAR point clouds (35 citations)
- Leaf and wood classification framework for terrestrial LiDAR point clouds (35 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Optics
- Ecosystem
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.
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