His primary areas of study are Remote sensing, Lidar, Forest inventory, Tree canopy and Canopy. His biological study spans a wide range of topics, including Artificial neural network and Plant cover, Vegetation. His work carried out in the field of Lidar brings together such families of science as Regression analysis, Meteorology, Sensor fusion and Profiling.
The Forest inventory study combines topics in areas such as Tundra, Shuttle Radar Topography Mission, Digital elevation model, Forest resource and Taiga. Ross Nelson has included themes like Stratification, Timber volume, Biomass and Laser data in his Tree canopy study. His work in Canopy covers topics such as Atmospheric sciences which are related to areas like Atmospheric radiative transfer codes, Understory, Backscatter and Advanced very-high-resolution radiometer.
Remote sensing, Lidar, Canopy, Forest inventory and Vegetation are his primary areas of study. He is studying Satellite imagery, which is a component of Remote sensing. The concepts of his Lidar study are interwoven with issues in Mean squared error, Estimator, Meteorology and Remote sensing.
His work carried out in the field of Canopy brings together such families of science as Hydrology, Biomass and Transect. His research integrates issues of Profiling, Ground truth, Digital elevation model and Taiga in his study of Forest inventory. His work in Vegetation addresses issues such as Tropics, which are connected to fields such as Secondary forest and Forest management.
The scientist’s investigation covers issues in Remote sensing, Lidar, Forest inventory, Estimator and Photon counting. In his research on the topic of Remote sensing, Econometrics is strongly related with Mean squared error. His study in Lidar is interdisciplinary in nature, drawing from both Forest management, Canopy, Aboveground biomass and Taiga.
His work deals with themes such as Empirical modelling, Boreal and Vegetation, which intersect with Taiga. His Forest inventory study integrates concerns from other disciplines, such as Spatial ecology, Sample size determination, Remote sensing and Scale. He interconnects Limiting factor, Heteroscedasticity, Unit-weighted regression and Tree canopy in the investigation of issues within Estimator.
His primary scientific interests are in Lidar, Remote sensing, Estimator, Spline interpolation and Linear regression. His studies in Lidar integrate themes in fields like Biomass, Forest management, Statistical inference, Tropics and Sampling. Ross Nelson integrates Remote sensing and Estimation in his research.
His Estimator research incorporates themes from Forest inventory, Forestry, Taiga and Atmospheric sciences. His Spline interpolation study overlaps with Terrain, Background noise, Photon counting, Canopy and Mean squared error. His Linear regression research integrates issues from Aboveground biomass and Temperate climate.
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.
Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass
Sorin C Popescu;Randolph H Wynne;Ross F Nelson.
Canadian Journal of Remote Sensing (2003)
Lidar sampling for large-area forest characterization: A review
Michael A. Wulder;Joanne C. White;Ross F. Nelson;Erik Næsset.
Remote Sensing of Environment (2012)
Estimating forest biomass and volume using airborne laser data
Ross Nelson;William Krabill;John Tonelli.
Remote Sensing of Environment (1988)
Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size
Sorin C Popescu;Randolph H Wynne;Ross F Nelson.
Computers and Electronics in Agriculture (2002)
The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation
Thorsten Markus;Tom Neumann;Anthony Martino;Waleed Abdalati.
Remote Sensing of Environment (2017)
Lidar remote sensing of forest biomass : A scale-invariant estimation approach using airborne lasers
Kaiguang Zhao;Sorin Popescu;Ross Nelson.
Remote Sensing of Environment (2009)
Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec.
Jonathan Boudreau;Ross F. Nelson;Hank A. Margolis;André Beaudoin.
Remote Sensing of Environment (2008)
Remote sensing of vegetation 3-D structure for biodiversity and habitat: Review and implications for lidar and radar spaceborne missions
K. M. Bergen;S. J. Goetz;R. O. Dubayah;G. M. Henebry.
Journal of Geophysical Research (2009)
Determining forest canopy characteristics using airborne laser data
Ross Nelson;William Krabill;Gordon MacLean.
Remote Sensing of Environment (1984)
Directional Reflectance Distributions of a Hardwood and Pine Forest Canopy
Daniel S. Kimes;W. Wayne Newcomb;Ross F. Nelson;John B. Schutt.
IEEE Transactions on Geoscience and Remote Sensing (1986)
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: