Matti Maltamo

Orcid: 0000-0002-9904-3371

According to our database1, Matti Maltamo authored at least 18 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
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., 2024

2022
A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories.
IEEE Trans. Geosci. Remote. Sens., 2022

Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Detection of European Aspen (Populus tremula L.) Based on an Unmanned Aerial Vehicle Approach in Boreal Forests.
Remote. Sens., 2021

Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2019
Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2019

Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data?
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation.
IEEE Trans. Geosci. Remote. Sens., 2017

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, 2017

2016
Classification of forest land attributes using multi-source remotely sensed data.
Int. J. Appl. Earth Obs. Geoinformation, 2016

Effect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
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., 2015

2014
Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2014

2012
Bayesian approach to tree detection with airborne laser scanning.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Airborne Laser Scanning for the Site Type Identification of Mature Boreal Forest Stands.
Remote. Sens., 2011

2010
Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs.
IEEE Trans. Geosci. Remote. Sens., 2010


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