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.
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.
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.
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.
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)
Laser scanning of forest resources: the nordic experience
Erik Næsset;Terje Gobakken;Johan Holmgren;Hannu Hyyppä.
Scandinavian Journal of Forest Research (2004)
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)
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)
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)
Comparative testing of single-tree detection algorithms under different types of forest
Jari Vauhkonen;Liviu Ene;Sandeep Gupta;Johannes Heinzel.
Forest inventory: methodology and applications.
Annika Kangas;Matti Maltamo.
Forest inventory: methodology and applications. (2006)
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)
Forestry Applications of Airborne Laser Scanning
Matti Maltamo;Erik Næsset;Jari Vauhkonen.
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)
(Impact Factor: 1.622)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: