Matti Maltamo

18 papers C 1Journal 17
YearRankTypeTitle / Venue / Authors
2024 J jnl
Comparison of Semi-Physical and Empirical Models in the Estimation of Boreal Forest Leaf Area Index and Clumping With Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens.
Shaohui Zhang, Lauri Korhonen, Mait Lang, Jan Pisek, Gaston M. Diaz, Ilkka Korpela, Zhongyu Xia, Hanna Haapala, Matti Maltamo
2022 J jnl
A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories.
IEEE Trans. Geosci. Remote. Sens.
Janne Räty, Petri Varvia, Lauri Korhonen, Pekka Savolainen, Matti Maltamo, Petteri Packalen
2022 J jnl
Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model.
Int. J. Appl. Earth Obs. Geoinformation
Lauri Mehtätalo, Adil Yazigi, Kasper Kansanen, Petteri Packalen, Timo Lähivaara, Matti Maltamo, Mari Myllymäki, Antti Penttinen
2021 J jnl
Detection of European Aspen (Populus tremula L.) Based on an Unmanned Aerial Vehicle Approach in Boreal Forests.
Remote. Sens.
Anton Kuzmin, Lauri Korhonen, Sonja Kivinen, Pekka Hurskainen, Pasi Korpelainen, Topi Tanhuanpää, Matti Maltamo, Petteri Vihervaara, Timo Kumpula
2021 J jnl
Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories.
Int. J. Appl. Earth Obs. Geoinformation
Mikko Kukkonen, Matti Maltamo, Lauri Korhonen, Petteri Packalen
2021 J jnl
Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data.
Int. J. Appl. Earth Obs. Geoinformation
Janne Toivonen, Lauri Korhonen, Mikko Kukkonen, Eetu Kotivuori, Matti Maltamo, Petteri Packalen
2019 J jnl
Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens.
Petri Varvia, Timo Lähivaara, Matti Maltamo, Petteri Packalen, Aku Seppänen
2019 J jnl
Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition.
IEEE Trans. Geosci. Remote. Sens.
Mikko Kukkonen, Matti Maltamo, Lauri Korhonen, Petteri Packalen
2018 J jnl
How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data?
Int. J. Appl. Earth Obs. Geoinformation
Mikael Kukkonen, Lauri Korhonen, Matti Maltamo, Aki Suvanto, Petteri Packalen
2017 J jnl
Image matching as a data source for forest inventory - Comparison of Semi-Global Matching and Next-Generation Automatic Terrain Extraction algorithms in a typical managed boreal forest environment.
Int. J. Appl. Earth Obs. Geoinformation
Mikael Kukkonen, Matti Maltamo, Petteri Packalen
2017 J jnl
Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation.
IEEE Trans. Geosci. Remote. Sens.
Petri Varvia, Timo Lähivaara, Matti Maltamo, Petteri Packalen, Timo Tokola, Aku Seppänen
2016 J jnl
Classification of forest land attributes using multi-source remotely sensed data.
Int. J. Appl. Earth Obs. Geoinformation
Inka Pippuri, Aki Suvanto, Matti Maltamo, Kari T. Korhonen, Juho Pitkänen, Petteri Packalen
2016 J jnl
Effect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory.
Int. J. Appl. Earth Obs. Geoinformation
Juha Keränen, Matti Maltamo, Petteri Packalen
2015 J jnl
Edge-Tree Correction for Predicting Forest Inventory Attributes Using Area-Based Approach With Airborne Laser Scanning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Petteri Packalen, Jacob L. Strunk, Juho Pitkänen, Hailemariam Temesgen, Matti Maltamo
2014 J jnl
Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens.
Timo Lähivaara, Aku Seppänen, Jari P. Kaipio, Jari Vauhkonen, Lauri Korhonen, Timo Tokola, Matti Maltamo
2012 C conf
Bayesian approach to tree detection with airborne laser scanning.
IGARSS
Timo Lähivaara, Aku Seppänen, Jari P. Kaipio, Jari Vauhkonen, Lauri Korhonen, Timo Tokola, Matti Maltamo
2011 J jnl
Airborne Laser Scanning for the Site Type Identification of Mature Boreal Forest Stands.
Remote. Sens.
Mikko Vehmas, Kalle Eerikäinen, Jussi Peuhkurinen, Petteri Packalen, Matti Maltamo
2010 J jnl
Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs.
IEEE Trans. Geosci. Remote. Sens.
Harri Niska, Jukka-Pekka Skon, Petteri Packalen, Timo Tokola, Matti Maltamo, Mikko Kolehmainen