What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Ecology
His scientific interests lie mostly in Remote sensing, Laser scanning, Tree, Point cloud and Canopy.
His Remote sensing research incorporates themes from Diameter at breast height and Tree measurement.
His Laser scanning research is multidisciplinary, incorporating elements of Change detection and Forest inventory.
Xiaowei Yu has researched Forest inventory in several fields, including Photogrammetry and Feature extraction.
The various areas that Xiaowei Yu examines in his Tree study include Correctness and Spatial analysis.
His Point cloud research includes elements of Terrestrial laser scanning, Assisted GPS and Allometry.
His most cited work include:
- Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests (459 citations)
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (302 citations)
- Automatic detection of harvested trees and determination of forest growth using airborne laser scanning (264 citations)
What are the main themes of his work throughout his whole career to date?
Xiaowei Yu focuses on Remote sensing, Laser scanning, Forest inventory, Point cloud and Tree.
His Remote sensing research includes themes of Diameter at breast height and Taiga.
His studies deal with areas such as Change detection, Canopy, Terrain and Volume as well as Laser scanning.
His work deals with themes such as Image resolution, Basal area, Mean squared error, Statistics and Random forest, which intersect with Forest inventory.
His biological study spans a wide range of topics, including Terrestrial laser scanning, Biomass, Crown and Plot.
His Tree research is multidisciplinary, relying on both Segmentation, Spatial analysis and Urban forest.
He most often published in these fields:
- Remote sensing (73.81%)
- Laser scanning (53.57%)
- Forest inventory (46.43%)
What were the highlights of his more recent work (between 2016-2021)?
- Remote sensing (73.81%)
- Point cloud (41.67%)
- Forest inventory (46.43%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Remote sensing, Point cloud, Forest inventory, Tree and Laser scanning.
The concepts of his Remote sensing study are interwoven with issues in Random forest and Basal area.
His Point cloud study combines topics in areas such as Terrestrial laser scanning, Photogrammetry, Biomass and Aboveground biomass.
Xiaowei Yu combines subjects such as Image resolution, Diameter at breast height, Data collection and Mean squared error with his study of Forest inventory.
His Tree research is multidisciplinary, incorporating elements of Taiga and Plot.
Xiaowei Yu usually deals with Laser scanning and limits it to topics linked to Canopy and Stratification and Urban forest.
Between 2016 and 2021, his most popular works were:
- International benchmarking of terrestrial laser scanning approaches for forest inventories (96 citations)
- Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees (59 citations)
- Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning (56 citations)
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