What is he best known for?
The fields of study he is best known for:
- Statistics
- Remote sensing
- Ecosystem
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.
His most cited work include:
- Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass (562 citations)
- Lidar sampling for large-area forest characterization: A review (380 citations)
- Estimating forest biomass and volume using airborne laser data (350 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Remote sensing (70.75%)
- Lidar (41.51%)
- Canopy (16.98%)
What were the highlights of his more recent work (between 2013-2018)?
- Remote sensing (70.75%)
- Lidar (41.51%)
- Forest inventory (16.04%)
In recent papers he was focusing on the following fields of study:
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.
Between 2013 and 2018, his most popular works were:
- The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation (191 citations)
- Combining satellite lidar, airborne lidar, and ground plots to estimate the amount and distribution of aboveground biomass in the boreal forest of North America1 (49 citations)
- Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations (48 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Remote sensing
- Ecosystem
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.
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