D-Index & Metrics Best Publications
Engineering and Technology
Finland
2022
Environmental Sciences
Finland
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 79 Citations 21,114 478 World Ranking 235 National Ranking 1
Environmental Sciences D-index 82 Citations 21,872 468 World Ranking 382 National Ranking 8

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study Juha Hyyppä is best known for:

  • Tree canopy
  • Understory
  • Picea abies

Juha Hyyppä incorporates Optics and Laser in his research. He connects Laser with Laser scanning in his research. Juha Hyyppä integrates several fields in his works, including Laser scanning and Optics. Juha Hyyppä performs multidisciplinary study on Remote sensing and Lidar in his works. Juha Hyyppä integrates several fields in his works, including Lidar and Remote sensing. His Canopy study frequently links to other fields, such as Understory. With his scientific publications, his incorporates both Understory and Tree canopy. His research on Tree canopy often connects related topics like Archaeology. Archaeology and Canopy are commonly linked in his work.

His most cited work include:

  • The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve (194 citations)
  • Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data (163 citations)
  • Application of boat-based laser scanning for river survey (99 citations)

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

Much of his study explores Remote sensing relationship to Change detection. His Change detection study frequently draws connections between adjacent fields such as Remote sensing. His work often combines Optics and Quantum mechanics studies. He merges many fields, such as Quantum mechanics and Optics, in his writings. He performs integrative study on Laser and Lidar in his works. While working in this field, he studies both Lidar and Laser. He brings together Laser scanning and Mobile mapping to produce work in his papers. Juha Hyyppä integrates several fields in his works, including Mobile mapping and Laser scanning. His study in Multispectral image extends to Artificial intelligence with its themes.

Juha Hyyppä most often published in these fields:

  • Remote sensing (77.78%)
  • Optics (77.78%)
  • Laser (72.22%)

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

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.
IEEE Transactions on Geoscience and Remote Sensing (2001)

838 Citations

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)

691 Citations

Laser scanning of forest resources: the nordic experience

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

578 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)

528 Citations

Terrestrial laser scanning in forest inventories

Xinlian Liang;Xinlian Liang;Ville Kankare;Ville Kankare;Juha Hyyppä;Juha Hyyppä;Yunsheng Wang;Yunsheng Wang.
Isprs Journal of Photogrammetry and Remote Sensing (2016)

505 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)

482 Citations

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.
Remote Sensing of Environment (2004)

394 Citations

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

Xiaowei Yu;Juha Hyyppä;Harri Kaartinen;Matti Maltamo.
Remote Sensing of Environment (2004)

372 Citations

Mini-UAV-Borne LIDAR for Fine-Scale Mapping

Yi Lin;J Hyyppä;A Jaakkola.
IEEE Geoscience and Remote Sensing Letters (2011)

363 Citations

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

Xiaowei Yu;Juha Hyyppä;Mikko Vastaranta;Markus Holopainen.
Isprs Journal of Photogrammetry and Remote Sensing (2011)

359 Citations

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