H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 38 Citations 7,067 137 World Ranking 2778 National Ranking 15
Environmental Sciences D-index 41 Citations 7,667 138 World Ranking 3103 National Ranking 48

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

His main research concerns Remote sensing, Laser scanning, Point cloud, Forest inventory and Digital elevation model. His Remote sensing study combines topics from a wide range of disciplines, such as Radar, Biomass and Mean squared error. His studies deal with areas such as Change detection, Feature extraction, Terrain and Mobile mapping as well as Laser scanning.

His Point cloud research includes elements of Image resolution and Histogram. In his study, Laser data, Interferometric synthetic aperture radar and Synthetic aperture radar is strongly linked to Basal area, which falls under the umbrella field of Forest inventory. His work deals with themes such as Vegetation, Artificial intelligence and Computer vision, which intersect with Lidar.

His most cited work include:

  • Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests (459 citations)
  • Laser scanning of forest resources: the nordic experience (404 citations)
  • Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes (348 citations)

What are the main themes of his work throughout his whole career to date?

Hannu Hyyppä spends much of his time researching Remote sensing, Laser scanning, Point cloud, Forest inventory and Artificial intelligence. Hannu Hyyppä usually deals with Remote sensing and limits it to topics linked to Terrain and Elevation. His research in Laser scanning tackles topics such as Mobile mapping which are related to areas like Inertial measurement unit.

Hannu Hyyppä interconnects Terrestrial laser scanning and Luminance in the investigation of issues within Point cloud. His Terrestrial laser scanning study deals with Intensity intersecting with Wavelength. Hannu Hyyppä has researched Forest inventory in several fields, including Basal area, Imaging spectrometer, Synthetic aperture radar, GNSS applications and Radar.

He most often published in these fields:

  • Remote sensing (49.30%)
  • Laser scanning (42.96%)
  • Point cloud (20.77%)

What were the highlights of his more recent work (between 2016-2021)?

  • Point cloud (20.77%)
  • Remote sensing (49.30%)
  • Laser scanning (42.96%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Point cloud, Remote sensing, Laser scanning, Luminance and Photogrammetry. His research in Point cloud intersects with topics in Architecture, Core and Database. His study in Remote sensing focuses on Multispectral image in particular.

He does research in Laser scanning, focusing on Terrestrial laser scanning specifically. His work in Luminance covers topics such as Road surface which are related to areas like Mobile laser scanning and Drone. His Photogrammetry research includes elements of Image quality, 3D reconstruction, Content creation, 3D modeling and Use case.

Between 2016 and 2021, his most popular works were:

  • Autonomous Collection of Forest Field Reference—The Outlook and a First Step with UAV Laser Scanning (44 citations)
  • The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies. (26 citations)
  • The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies. (26 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Computer vision

Hannu Hyyppä mainly investigates Point cloud, Lidar, Computer vision, Artificial intelligence and Terrestrial laser scanning. Hannu Hyyppä combines subjects such as Forest inventory and Laser scanning with his study of Point cloud. His work in Forest inventory addresses issues such as Reference data, which are connected to fields such as Forestry.

In his research, Remote sensing is intimately related to Tree canopy, which falls under the overarching field of Laser scanning. His Lidar study incorporates themes from Tree health, Infestation, Picea abies, Climate change and Water content. His work on Mobile mapping as part of general Computer vision research is frequently linked to Simultaneous localization and mapping, bridging the gap between disciplines.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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.
International Journal of Remote Sensing (2008)

633 Citations

Laser scanning of forest resources: the nordic experience

Erik Næsset;Terje Gobakken;Johan Holmgren;Hannu Hyyppä.
Scandinavian Journal of Forest Research (2004)

548 Citations

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

Juha Hyyppä;Hannu Hyyppä;Mikko Inkinen;Marcus Engdahl.
decision support systems (2000)

506 Citations

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

Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta.
Remote Sensing (2012)

430 Citations

Algorithms and methods of airborne laser-scanning for forest measurements

Juha Hyyppä;Hannu Hyyppä;Paula Litkey;Xiaowei Yu.
(2004)

230 Citations

Individual tree biomass estimation using terrestrial laser scanning

Ville Kankare;Markus Holopainen;Mikko Vastaranta;Eetu Puttonen.
Isprs Journal of Photogrammetry and Remote Sensing (2013)

219 Citations

Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping

Anttoni Jaakkola;Juha Hyyppä;Hannu Hyyppä;Antero Kukko.
Sensors (2008)

209 Citations

Airborne laser scanning and digital stereo imagery measures of forest structure: comparative results and implications to forest mapping and inventory update

Mikko Vastaranta;Michael A. Wulder;Joanne C. White;Anssi Pekkarinen.
Canadian Journal of Remote Sensing (2013)

178 Citations

Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography

Claude Flener;Matti Vaaja;Anttoni Jaakkola;Anssi Krooks.
Remote Sensing (2013)

176 Citations

Advances in Forest Inventory Using Airborne Laser Scanning

Juha Hyyppä;Xiaowei Yu;Hannu Hyyppä;Mikko Vastaranta.
Remote Sensing (2012)

162 Citations

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Juha Hyyppä

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