Petteri Packalen

25 papers Journal 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mitigation of Spatial Effects on an Area-Based Lidar Forest Inventory (2024). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jacob L. Strunk, Diogo Nepomuceno Cosenza, Francisco Mauro, Hans-Erik Andersen, Sytze de Bruin, Timothy Bryant, Petteri Packalen
2024	J	`jnl`	Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data. IEEE Trans. Geosci. Remote. Sens. Mikko Kukkonen, Timo Lähivaara, Petteri Packalen
2023	J	`jnl`	Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory. Int. J. Appl. Earth Obs. Geoinformation Fangting Chen, Zhengyang Hou, Svetlana Saarela, Ronald E. McRoberts, Göran Ståhl, Annika Kangas, Petteri Packalen, Bo Li, Qing Xu
2023	J	`jnl`	mgpr: An R package for multivariate Gaussian process regression. SoftwareX Petri Varvia, Janne Räty, Petteri Packalen
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`	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
2020	J	`jnl`	A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model. Int. J. Appl. Earth Obs. Geoinformation Daniela Ali-Sisto, Ranjith Gopalakrishnan, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen
2020	J	`jnl`	Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas. Remote. Sens. Ranjith Gopalakrishnan, Daniela Ali-Sisto, Mikko Kukkonen, Pekka Savolainen, Petteri Packalen
2020	J	`jnl`	Utility of image point cloud data towards generating enhanced multitemporal multisensor land cover maps. Int. J. Appl. Earth Obs. Geoinformation Ranjith Gopalakrishnan, Aku Seppänen, Mikko Kukkonen, Petteri Packalen
2019	J	`jnl`	Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes? Int. J. Appl. Earth Obs. Geoinformation Janne Heiskanen, Hari Adhikari, Rami Piiroinen, Petteri Packalen, Petri K. E. Pellikka
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`	Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Daniela Ali-Sisto, 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
2015	J	`jnl`	Estimating Tree Height Distribution Using Low-Density ALS Data With and Without Training Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lauri Mehtätalo, Anni Virolainen, Jukka Tuomela, Petteri Packalen
2013	J	`jnl`	Assessing and modeling moose (Alces alces) habitats with airborne laser scanning data. Int. J. Appl. Earth Obs. Geoinformation Markus Melin, Petteri Packalen, J. Matala, Lauri Mehtätalo, J. Pusenius
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