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Engineering and Technology
Finland
2026
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Environmental Sciences
Finland
2026

D-Index & Metrics

Engineering and Technology

D-Index
91
Citations
28200
World Ranking
251
National Ranking
2

Environmental Sciences

D-Index
93
Citations
28978
World Ranking
523
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Finland Leader Award
  • 2026 - Research.com Environmental Sciences in Finland Leader Award
  • 2025 - Research.com Engineering and Technology in Finland Leader Award
  • 2025 - Research.com Environmental Sciences in Finland Leader Award
  • 2023 - Research.com Engineering and Technology in Finland Leader Award
  • 2023 - Research.com Environmental Sciences in Finland Leader Award
  • 2022 - Research.com Engineering and Technology in Finland Leader Award
  • 2022 - Research.com Environmental Sciences in Finland Leader Award

Overview

Juha Hyyppä is affiliated with the Finnish Geospatial Research Institute in Finland and has contributed extensively to research in environmental science and engineering. Their work primarily focuses on remote sensing technologies, forest ecology, and geospatial data applications.

Their research spans several main fields of study, including:

  • Environmental Science
  • Engineering

Within these fields, they have engaged deeply with subfields such as:

  • Environmental Engineering
  • Nature and Landscape Conservation
  • Geology
  • Insect Science
  • Ecology

Their main research topics emphasize:

  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • 3D Surveying and Cultural Heritage
  • Forest Ecology and Biodiversity Studies
  • Remote Sensing in Agriculture
  • Indoor and Outdoor Localization Technologies
  • Robotics and Sensor-Based Localization

Juha Hyyppä has published in numerous scientific venues, with frequent contributions to:

  • Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • ISPRS Open Journal of Photogrammetry and Remote Sensing
  • SSRN Electronic Journal
  • The "international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Their recent papers include:

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • 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
  • Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions, 2022, IEEE Geoscience and Remote Sensing Magazine

Throughout their career, Juha Hyyppä has collaborated frequently with several researchers, notably:

  • Antero Kukko
  • Harri Kaartinen
  • Mikko Vastaranta
  • Yuwei Chen
  • Ville Kankare

Best Publications

  • A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners

    J. Hyyppa;O. Kelle;M. Lehikoinen;M. Inkinen

  • 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

  • Laser scanning of forest resources: the nordic experience

    Erik Næsset;Terje Gobakken;Johan Holmgren;Hannu Hyyppä

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

    Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta

  • Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes

    Juha Hyyppä;Hannu Hyyppä;Mikko Inkinen;Marcus Engdahl

  • Remote sensing methods for power line corridor surveys

    Leena Matikainen;Matti Lehtomäki;Eero Ahokas;Juha Hyyppä

  • 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

  • Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions

    Matti Maltamo;Kalle Eerikäinen;Juho Pitkänen;Juha Hyyppä

  • Mini-UAV-Borne LIDAR for Fine-Scale Mapping

    Yi Lin;J Hyyppä;A Jaakkola

  • 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

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark

    Zhen Dong;Fuxun Liang;Bisheng Yang;Yusheng Xu

  • Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest

    Yunsheng Wang;Yunsheng Wang;Matti Lehtomäki;Matti Lehtomäki;Xinlian Liang;Xinlian Liang;Jiri Pyörälä;Jiri Pyörälä;Jiri Pyörälä

  • Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning

    Xinlian Liang;P. Litkey;J. Hyyppa;H. Kaartinen

  • Individual tree biomass estimation using terrestrial laser scanning

    Ville Kankare;Markus Holopainen;Mikko Vastaranta;Eetu Puttonen

  • Tree species classification using airborne LiDAR - effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type

    Ilkka Korpela;Hans Ole Ørka;Matti Maltamo;Timo Tokola

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

    M Maltamo;K Mustonen;J Hyyppä;J Pitkänen

Frequent Co-Authors

Hannu Hyyppä
Hannu Hyyppä Aalto University
Harri Kaartinen
Harri Kaartinen University of Turku
Markus Holopainen
Markus Holopainen University of Helsinki
Antero Kukko
Antero Kukko Aalto University
Mikko Vastaranta
Mikko Vastaranta University of Eastern Finland
Anttoni Jaakkola
Anttoni Jaakkola Finnish Geospatial Research Institute
Xiaowei Yu
Xiaowei Yu Finnish Geospatial Research Institute
Petteri Alho
Petteri Alho University of Turku
Xinlian Liang
Xinlian Liang Finnish Geospatial Research Institute
Eija Honkavaara
Eija Honkavaara Finnish Geospatial Research Institute

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