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 46 Citations 8,794 159 World Ranking 2445 National Ranking 39

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Ecology
  • Artificial intelligence

His main research concerns Laser scanning, Remote sensing, Forest inventory, Basal area and Scots pine. His Laser scanning research incorporates elements of Ecology, Taiga, Dead wood and Variables. Matti Maltamo combines subjects such as Canopy, Tree canopy and Forestry with his study of Remote sensing.

Matti Maltamo has included themes like Mean squared error, Sampling and Cartography in his Forest inventory study. The various areas that Matti Maltamo examines in his Basal area study include Statistics, Weibull distribution, Botany and Square meter. His studies in Scots pine integrate themes in fields like Forest management, Picea abies, Woody plant and Deciduous.

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)
  • Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions (275 citations)

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

Matti Maltamo mainly focuses on Laser scanning, Remote sensing, Statistics, Forest inventory and Forestry. The Laser scanning study combines topics in areas such as Tree, Crown, Tree species and Scots pine. The study incorporates disciplines such as Point cloud, Canopy and Taiga in addition to Remote sensing.

His Statistics study combines topics in areas such as Ecology and Basal area. His studies deal with areas such as Cartography, Sampling, Imputation and Pulpwood as well as Forest inventory. His Forestry research is multidisciplinary, relying on both Boreal and Forest ecology.

He most often published in these fields:

  • Laser scanning (37.72%)
  • Remote sensing (34.65%)
  • Statistics (28.95%)

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

  • Remote sensing (34.65%)
  • Laser scanning (37.72%)
  • Statistics (28.95%)

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

Matti Maltamo spends much of his time researching Remote sensing, Laser scanning, Statistics, Tree and Lidar. His Remote sensing research integrates issues from Forest inventory, Tree species and Taiga. His Laser scanning study incorporates themes from Calibration, Forest structure and k-nearest neighbors algorithm.

His Statistics study frequently draws connections to adjacent fields such as Basal area. His Tree research is multidisciplinary, incorporating perspectives in Crown and Understory. His Lidar research focuses on Aerial image and how it connects with Picea abies and Linear discriminant analysis.

Between 2017 and 2021, his most popular works were:

  • Remote sensing and forest inventories in Nordic countries – roadmap for the future (50 citations)
  • Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition (18 citations)
  • Comparison of multispectral airborne laser scanning and stereo matching of aerial images as a single sensor solution to forest inventories by tree species (16 citations)

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

  • Statistics
  • Ecology
  • Artificial intelligence

Remote sensing, Laser scanning, Tree, Forest inventory and Lidar are his primary areas of study. Matti Maltamo interconnects Ecology, Margin of error and k-nearest neighbors algorithm in the investigation of issues within Laser scanning. His work in Tree addresses subjects such as Mean squared error, which are connected to disciplines such as Matching.

His Forest inventory research entails a greater understanding of Forest management. His Lidar research focuses on Multispectral image and how it relates to Tree species, Stereo matching, Picea abies, Scots pine and Linear discriminant analysis. His research integrates issues of Understory, Deciduous and Basal area, Quadratic mean diameter in his study of Statistics.

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

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

Matti Maltamo;K. Eerikäinen;Juho Pitkänen;Juha Hyyppä.
Remote Sensing of Environment (2004)

379 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)

360 Citations

Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index

Lauri Korhonen;Ilkka Korpela;Janne Heiskanen;Matti Maltamo.
Remote Sensing of Environment (2011)

342 Citations

Comparative testing of single-tree detection algorithms under different types of forest

Jari Vauhkonen;Liviu Ene;Sandeep Gupta;Johannes Heinzel.
Forestry (2012)

322 Citations

Forest inventory: methodology and applications.

Annika Kangas;Matti Maltamo.
Forest inventory: methodology and applications. (2006)

306 Citations

The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs

Petteri Packalén;Matti Maltamo.
Remote Sensing of Environment (2007)

287 Citations

Forestry Applications of Airborne Laser Scanning

Matti Maltamo;Erik Næsset;Jari Vauhkonen.
(2014)

270 Citations

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

M Maltamo;K Mustonen;J Hyyppä;J Pitkänen.
Canadian Journal of Forest Research (2004)

263 Citations

Editorial Boards

Silva Fennica
(Impact Factor: 1.622)

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Matti Maltamo

Juha Hyyppä

Juha Hyyppä

Finnish Geospatial Research Institute

Publications: 130

Erik Næsset

Erik Næsset

Norwegian University of Life Sciences

Publications: 112

Markus Holopainen

Markus Holopainen

University of Helsinki

Publications: 109

Mikko Vastaranta

Mikko Vastaranta

University of Eastern Finland

Publications: 103

Terje Gobakken

Terje Gobakken

Norwegian University of Life Sciences

Publications: 96

Nicholas C. Coops

Nicholas C. Coops

University of British Columbia

Publications: 85

Michael A. Wulder

Michael A. Wulder

Natural Resources Canada

Publications: 64

Hannu Hyyppä

Hannu Hyyppä

Aalto University

Publications: 56

Joanne C. White

Joanne C. White

Natural Resources Canada

Publications: 50

Xiaowei Yu

Xiaowei Yu

Finnish Geospatial Research Institute

Publications: 47

Marco Heurich

Marco Heurich

University of Freiburg

Publications: 44

Harri Kaartinen

Harri Kaartinen

University of Turku

Publications: 43

Timo Pukkala

Timo Pukkala

University of Eastern Finland

Publications: 42

Ronald E. McRoberts

Ronald E. McRoberts

University of Florence

Publications: 37

Andrew T. Hudak

Andrew T. Hudak

US Forest Service

Publications: 34

Norbert Pfeifer

Norbert Pfeifer

TU Wien

Publications: 33

Something went wrong. Please try again later.