D-Index & Metrics Best Publications

D-Index & Metrics

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
Environmental Sciences D-index 39 Citations 7,463 161 World Ranking 3422 National Ranking 54

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Statistics
  • Artificial intelligence

His primary scientific interests are in Remote sensing, Point cloud, Forest inventory, Laser scanning and Tree. His Remote sensing research incorporates themes from Mean squared error, Diameter at breast height and Random forest. He has researched Point cloud in several fields, including Biomass, Allometry and Scots pine.

Markus Holopainen works mostly in the field of Forest inventory, limiting it down to concerns involving Basal area and, occasionally, Laser data and Digital elevation model. The various areas that Markus Holopainen examines in his Laser scanning study include Sample, Field and Scale. His studies in Tree integrate themes in fields like Terrestrial laser scanning and Statistics, Spatial analysis, Plot.

His most cited work include:

  • Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (327 citations)
  • An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (302 citations)
  • Terrestrial laser scanning in forest inventories (276 citations)

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

The scientist’s investigation covers issues in Remote sensing, Forest inventory, Lidar, Laser scanning and Tree. His biological study spans a wide range of topics, including Terrestrial laser scanning, Point cloud, Canopy and Basal area. His biological study deals with issues like Digital elevation model, which deal with fields such as Synthetic aperture radar.

His study looks at the intersection of Lidar and topics like Forestry with Infestation. His Laser scanning research is multidisciplinary, relying on both Cartography and Change detection. The concepts of his Tree study are interwoven with issues in Diameter at breast height, Random forest, Crown and Plot.

He most often published in these fields:

  • Remote sensing (63.06%)
  • Forest inventory (38.74%)
  • Lidar (34.23%)

What were the highlights of his more recent work (between 2017-2021)?

  • Remote sensing (63.06%)
  • Point cloud (29.28%)
  • Scots pine (17.57%)

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

Remote sensing, Point cloud, Scots pine, Lidar and Terrestrial laser scanning are his primary areas of study. The study incorporates disciplines such as Canopy, Random forest and Laser scanning in addition to Remote sensing. His studies deal with areas such as Change detection and Aerial imagery as well as Laser scanning.

His Point cloud research includes themes of Basal area, Tree, Forest inventory, Statistics and Aboveground biomass. His work carried out in the field of Tree brings together such families of science as Plot and Taiga. His biological study spans a wide range of topics, including Physical geography and Urban forest.

Between 2017 and 2021, his most popular works were:

  • International benchmarking of terrestrial laser scanning approaches for forest inventories (96 citations)
  • International benchmarking of terrestrial laser scanning approaches for forest inventories (96 citations)
  • Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft (63 citations)

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

  • Statistics
  • Ecology
  • Artificial intelligence

Markus Holopainen spends much of his time researching Remote sensing, Point cloud, Lidar, Terrestrial laser scanning and Tree. The concepts of his Remote sensing study are interwoven with issues in Picea abies and Biodiversity. His Point cloud research focuses on subjects like Statistics, which are linked to Scots pine, Whorl and Point density.

The study incorporates disciplines such as Tree health, Canopy and Laser scanning in addition to Lidar. His Tree research is multidisciplinary, incorporating elements of Forest inventory and Plot. His research investigates the connection between Forest inventory and topics such as Taiga that intersect with problems in Sustainable forest management, Sample and Pairwise comparison.

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

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

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen.
Remote Sensing (2013)

421 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)

380 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)

325 Citations

Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level

Roope Näsi;Eija Honkavaara;Päivi Marja Emilia Lyytikäinen-Saarenmaa;Minna Blomqvist.
Remote Sensing (2015)

246 Citations

Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning

Xinlian Liang;P. Litkey;J. Hyyppa;H. Kaartinen.
IEEE Transactions on Geoscience and Remote Sensing (2012)

232 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

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

Automated Stem Curve Measurement Using Terrestrial Laser Scanning

Xinlian Liang;Ville Kankare;Xiaowei Yu;Juha Hyyppa.
IEEE Transactions on Geoscience and Remote Sensing (2014)

170 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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Best Scientists Citing Markus Holopainen

Juha Hyyppä

Juha Hyyppä

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Erik Næsset

Erik Næsset

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Terje Gobakken

Terje Gobakken

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University of Eastern Finland

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Xinlian Liang

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Mathias Disney

Mathias Disney

University College London

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Antero Kukko

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Aalto University

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Harri Kaartinen

Harri Kaartinen

University of Turku

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Kim Calders

Kim Calders

Ghent University

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Eija Honkavaara

Eija Honkavaara

Finnish Geospatial Research Institute

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Marco Heurich

Marco Heurich

University of Freiburg

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Michael A. Wulder

Natural Resources Canada

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Norbert Pfeifer

Norbert Pfeifer

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Joanne C. White

Joanne C. White

Natural Resources Canada

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