World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
10707
World Ranking
4038
National Ranking
29

Environmental Sciences

D-Index
53
Citations
11333
World Ranking
4220
National Ranking
68

Overview

Xiaowei Yu is affiliated with the Finnish Geospatial Research Institute in Finland and focuses on research primarily related to environmental science and agricultural and biological sciences. Their work spans several subfields, including environmental engineering, nature and landscape conservation, insect science, geology, and ecology.

The main topics of Xiaowei Yu's research cover remote sensing and LiDAR applications, forest ecology and management, forest ecology and biodiversity studies, 3D surveying and cultural heritage, remote sensing in agriculture, plant water relations and carbon dynamics, and smart agriculture and AI.

Frequent publication venues where Xiaowei Yu's work appears include:

  • Remote Sensing
  • ISPRS Open Journal of Photogrammetry and Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Science of Remote Sensing
  • Forest Ecosystems

Xiaowei Yu collaborates frequently with several researchers, including Juha Hyyppä, Antero Kukko, Harri Kaartinen, Eric Hyyppä, and Teemu Hakala.

Recent papers authored or coauthored by Xiaowei Yu include:

  • Under-canopy UAV laser scanning for accurate forest field measurements, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Accurate derivation of stem curve and volume using backpack mobile laser scanning, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests, 2020, Remote Sensing
  • Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation, 2021, Forest Ecosystems
  • Direct and automatic measurements of stem curve and volume using a high-resolution airborne laser scanning system, 2022, Science of Remote Sensing

Best Publications

  • Terrestrial laser scanning in forest inventories

    Xinlian Liang;Xinlian Liang;Ville Kankare;Ville Kankare;Juha Hyyppä;Juha Hyyppä;Yunsheng Wang;Yunsheng Wang

  • Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests

    J. Hyyppä;H. Hyyppä;D. Leckie;F. Gougeon

  • An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

    Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta

  • International benchmarking of terrestrial laser scanning approaches for forest inventories

    Xinlian Liang;Juha Hyyppä;Harri Kaartinen;Harri Kaartinen;Matti Lehtomäki

  • Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

    Olli Nevalainen;Eija Honkavaara;Sakari Tuominen;Niko Viljanen

  • Predicting individual tree attributes from airborne laser point clouds based on the random forests technique

    Xiaowei Yu;Juha Hyyppä;Mikko Vastaranta;Markus Holopainen

  • Automatic detection of harvested trees and determination of forest growth using airborne laser scanning

    Xiaowei Yu;Juha Hyyppä;Harri Kaartinen;Matti Maltamo

  • A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements

    Anttoni Jaakkola;Juha Hyyppä;Antero Kukko;Xiaowei Yu

  • Individual tree biomass estimation using terrestrial laser scanning

    Ville Kankare;Markus Holopainen;Mikko Vastaranta;Eetu Puttonen

  • The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve

    M Maltamo;K Mustonen;J Hyyppä;J Pitkänen

  • Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data

    M. Maltamo;P. Packalén;X. Yu;K. Eerikäinen

  • Automated Stem Curve Measurement Using Terrestrial Laser Scanning

    Xinlian Liang;Ville Kankare;Xiaowei Yu;Juha Hyyppa

  • Algorithms and methods of airborne laser-scanning for forest measurements

    Juha Hyyppä;Hannu Hyyppä;Paula Litkey;Xiaowei Yu

  • Advances in Forest Inventory Using Airborne Laser Scanning

    Juha Hyyppä;Xiaowei Yu;Hannu Hyyppä;Mikko Vastaranta

  • International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning

    Yunsheng Wang;Juha Hyyppa;Xinlian Liang;Harri Kaartinen

  • Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data

    Xiaowei Yu;Juha Hyyppä;Antero Kukko;Matti Maltamo

  • Comparison of area-based and individual tree-based methods for predicting plot-level forest attributes.

    Xiaowei Yu;Juha Hyyppä;Markus Holopainen;Mikko Vastaranta

  • Under-canopy UAV laser scanning for accurate forest field measurements

    Eric Hyyppä;Juha Hyyppä;Juha Hyyppä;Teemu Hakala;Antero Kukko;Antero Kukko

  • Accurate derivation of stem curve and volume using backpack mobile laser scanning

    Eric Hyyppä;Antero Kukko;Antero Kukko;Risto Kaijaluoto;Joanne C. White

  • The Use of a Mobile Laser Scanning System for Mapping Large Forest Plots

    Xinlian Liang;Juha Hyyppa;Antero Kukko;Harri Kaartinen

  • Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests

    Eric Hyyppä;Xiaowei Yu;Harri Kaartinen;Teemu Hakala

  • Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables

    Kimmo Nurminen;Mika Karjalainen;Xiaowei Yu;Juha Hyyppä

  • Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees

    Ninni Saarinen;Ninni Saarinen;Ville Kankare;Ville Kankare;Mikko Vastaranta;Mikko Vastaranta;Ville Luoma;Ville Luoma

Frequent Co-Authors

Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Markus Holopainen
Markus Holopainen University of Helsinki
Mikko Vastaranta
Mikko Vastaranta University of Eastern Finland
Harri Kaartinen
Harri Kaartinen University of Turku
Hannu Hyyppä
Hannu Hyyppä Aalto University
Xinlian Liang
Xinlian Liang Finnish Geospatial Research Institute
Antero Kukko
Antero Kukko Aalto University
Anttoni Jaakkola
Anttoni Jaakkola Finnish Geospatial Research Institute
Matti Maltamo
Matti Maltamo University of Eastern Finland
Eija Honkavaara
Eija Honkavaara Finnish Geospatial Research Institute

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