What is he best known for?
The fields of study he is best known for:
- Ecology
- Botany
- Agriculture
The scientist’s investigation covers issues in Pinus radiata, Ecology, Botany, Animal science and Radiata.
His Pinus radiata research is multidisciplinary, incorporating perspectives in Edaphic, Forestry and Woody plant.
In his research, General Circulation Model is intimately related to Dothistroma septosporum, which falls under the overarching field of Ecology.
His work on Thigmomorphogenesis and Stomatal conductance as part of general Botany research is often related to Mean diameter and Phosphorus, thus linking different fields of science.
His Animal science research is multidisciplinary, incorporating elements of Photosynthesis and Chlorophyll.
His Invasive species research incorporates elements of Subtropics and Introduced species.
His most cited work include:
- Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak (120 citations)
- The hosts and potential geographic range of Dothistroma needle blight (91 citations)
- The effects of genotype and spacing on Pinus radiata [D. Don] corewood stiffness in an 11-year old experiment (85 citations)
What are the main themes of his work throughout his whole career to date?
Michael S. Watt focuses on Pinus radiata, Ecology, Botany, Agronomy and Forestry.
His Pinus radiata research includes elements of Woody plant and Animal science.
Many of his studies on Ecology apply to Canker as well.
Michael S. Watt has researched Botany in several fields, including Horticulture and Water content.
His work carried out in the field of Agronomy brings together such families of science as Cytisus scoparius and Broom.
His Forestry research incorporates themes from Lidar, Vegetation and Spatial variability.
He most often published in these fields:
- Pinus radiata (42.94%)
- Ecology (24.86%)
- Botany (23.16%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (13.56%)
- Random forest (5.65%)
- Mean squared error (5.65%)
In recent papers he was focusing on the following fields of study:
Michael S. Watt mainly focuses on Remote sensing, Random forest, Mean squared error, Partial least squares regression and Statistics.
Michael S. Watt interconnects Point cloud and Basal area in the investigation of issues within Remote sensing.
His research in Random forest intersects with topics in Range and Blight.
Michael S. Watt works mostly in the field of Mean squared error, limiting it down to concerns involving Range and, occasionally, Generalized linear model and Elastic net regularization.
His Statistics study combines topics from a wide range of disciplines, such as Ensemble forecasting, Pinaceae and Pinus radiata.
Michael S. Watt integrates Pinus radiata with Phosphorus in his study.
Between 2017 and 2021, his most popular works were:
- UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health (35 citations)
- Comparison of high-density LiDAR and satellite photogrammetry for forest inventory (27 citations)
- Phenotyping Whole Forests Will Help to Track Genetic Performance. (26 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Botany
- Agriculture
His primary areas of investigation include Remote sensing, Lidar, Basal area, Photogrammetry and Multispectral image.
His research on Lidar often connects related areas such as Random forest.
His study in Random forest is interdisciplinary in nature, drawing from both Mean squared error, Voxel and Range.
His work deals with themes such as Point cloud, Forest inventory and Satellite imagery, which intersect with Basal area.
His research integrates issues of Canopy, Tree canopy, Leaf area index, Partial least squares regression and Site index in his study of Satellite imagery.
The various areas that Michael S. Watt examines in his Multispectral image study include Lidar data and Forest health.
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