Petteri Packalen

发表

Edge-Tree Correction for Predicting Forest Inventory Attributes Using Area-Based Approach With Airborne Laser Scanning

Petteri Packalen, Jacob Strunk, Juho Pitkänen, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Automatic segmentation of forest stands using a canopy height model and aerial photography

Annika Kangas, Petteri Packalen, Jukka Mustonen, 2008 .

How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data?

Petteri Packalen, Matti Maltamo, Mikael Kukkonen, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Classification of forest land attributes using multi-source remotely sensed data

Petteri Packalen, Juho Pitkänen, Matti Maltamo, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs

Mikko Kolehmainen, Petteri Packalen, Matti Maltamo, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Dynamic Treatment Units in Forest Management Planning

Petteri Packalen, Timo Pukkala, Tero Heinonen, 2014 .

Assessing and modeling moose (Alces alces) habitats with airborne laser scanning data

Petteri Packalen, Lauri Mehtätalo, Markus Melin, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Airborne Laser Scanning for the Site Type Identification of Mature Boreal Forest Stands

Jussi Peuhkurinen, Petteri Packalen, Matti Maltamo, 2011, Remote. Sens..

Different plot selection strategies for field training data in ALS-assisted forest

Terje Gobakken, Erik Næsset, Petteri Packalen, 2010 .

A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model

Petteri Packalen, Pekka Savolainen, Daniela Ali-Sisto, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Sequential Spatial Point Process Models for Spatio-Temporal Point Processes: A Self-Interactive Model with Application to Forest Tree Data

Petteri Packalen, Antti Penttinen, Matti Maltamo, 2019, 1910.08936.

Nearest neighbor imputation of logwood volumes using bi-temporal ALS, multispectral ALS and aerial images

Petteri Packalen, Matti Maltamo, Janne Räty, 2019, Scandinavian Journal of Forest Research.

Influence of size and shape of forest inventory units on the layout of harvest blocks in numerical forest planning

Petteri Packalen, Timo Pukkala, Adrián Pascual, 2018, European Journal of Forest Research.

Effect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory

Petteri Packalen, Matti Maltamo, Juha Keränen, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Utility of image point cloud data towards generating enhanced multitemporal multisensor land cover maps

Petteri Packalen, Ranjith Gopalakrishnan, Mikko Kukkonen, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition

Petteri Packalen, Matti Maltamo, Lauri Korhonen, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas

Petteri Packalen, Pekka Savolainen, Ranjith Gopalakrishnan, 2020, Remote. Sens..

Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes?

Petteri Packalen, Janne Heiskanen, Petri Pellikka, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Bayesian approach to single-tree detection in airborne laser scanning – use of training data for prior and likelihood modeling

Petteri Packalen, Teemu Luostari, Timo Lähivaara, 2018, Journal of Physics: Conference Series.

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

Liviu Theodor Ene, Terje Gobakken, Erik Næsset, 2011 .

Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data

Petteri Packalen, Matti Maltamo, Timo Lähivaara, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation

Petteri Packalen, Matti Maltamo, Timo Tokola, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Estimating Tree Height Distribution Using Low-Density ALS Data With and Without Training Data

Petteri Packalen, Jukka Tuomela, Lauri Mehtätalo, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model

Petteri Packalen, Daniela Ali-Sisto, P. Packalen, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Prediction error aggregation behaviour for remote sensing augmented forest inventory approaches

Petteri Packalen, Matti Maltamo, Lauri Korhonen, 2021 .

A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories

Petteri Packalen, Matti Maltamo, Pekka Savolainen, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data

Petteri Packalen, Matti Maltamo, Janne Toivonen, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories

Petteri Packalen, Matti Maltamo, Lauri Korhonen, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification

Petteri Packalen, Matti Maltamo, Lauri Mehtätalo, 2021, Remote Sensing of Environment.

The suitability of leaf-off airborne laser scanning data in an area-based forest inventory of coniferous and deciduous trees

Maria Villikka, Petteri Packalen, Matti Maltamo, 2012 .

Preharvest measurement of marked stands using airborne laser scanning

Jussi Peuhkurinen, Petteri Packalen, Juho Pitkänen, 2007 .

Airborne laser scanning-based prediction of coarse woody debris volumes in a conservation area

Petteri Packalen, Matti Maltamo, Kalle Eerikäinen, 2008 .

Predicting Tree Attributes and Quality Characteristics of Scots Pine Using Airborne Laser Scanning Data

Jussi Peuhkurinen, Petteri Packalen, Matti Maltamo, 2009 .

Airborne laser scanning-based decision support for wood procurement planning

Petteri Packalen, Juho Pitkänen, Matti Maltamo, 2014 .

Predicting species-specific basal areas in urban forests using airborne laser scanning and existing stand register data

Petteri Packalen, Matti Maltamo, Inka Pippuri, 2013, European Journal of Forest Research.

Sensitivity of Above-Ground Biomass Estimates to Height-Diameter Modelling in Mixed-Species West African Woodlands

Petteri Packalen, Janne Heiskanen, Ermias Aynekulu, 2016, PloS one.

Gini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure

Petteri Packalen, Matti Maltamo, Ruben Valbuena, 2016 .

Detection of the need for seedling stand tending using high-resolution remote sensing data

Petteri Packalen, Matti Maltamo, Ville Heikkinen, 2013 .

Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover

Petteri Packalen, Markus Melin, Lauri Korhonen, 2017 .

Resolution dependence in an area-based approach to forest inventory with airborne laser scanning

Tuula Packalen, Petteri Packalen, Jacob Strunk, 2019, Remote Sensing of Environment.

Identification of boreal forest stands with high herbaceous plant diversity using airborne laser scanning

Jussi Peuhkurinen, Petteri Packalen, Matti Maltamo, 2009 .

Forest inventories for small areas using drone imagery without in-situ field measurements

Petteri Packalen, Matti Maltamo, Lauri Mehtätalo, 2020 .

Comparison of individual tree detection and canopy height distribution approaches: a case study in Finland.

Petteri Packalen, Juho Pitkänen, Matti Maltamo, 2008 .

Detailed Assessment Using Remote Sensing Techniques

Petteri Packalen, Matti Maltamo, Timo Tokola, 2008 .

Using airborne laser scanning data and digital aerial photographs to estimate growing stock by tree species

Petteri Packalen, P. Packalen, 2009 .

Comparing nearest neighbor configurations in the prediction of species-specific diameter distributions

Petteri Packalen, Matti Maltamo, Janne Räty, 2018, Annals of Forest Science.

Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data

Juha Hyyppä, Xiaowei Yu, Petteri Packalen, 2005 .

Prediction of Forest Attributes with Field Plots, Landsat, and a Sample of Lidar Strips: A Case Study on the Kenai Peninsula, Alaska

Petteri Packalen, Jacob Strunk, Hailemariam Temesgen, 2014 .

Improving species-specific plot volume estimates based on airborne laser scanning and image data using alpha shape metrics and balanced field data

Petteri Packalen, Jari Vauhkonen, Timo Tokola, 2012 .

Identification of Scandinavian Commercial Species of Individual Trees from Airborne Laser Scanning Data Using Alpha Shape Metrics

Petteri Packalen, Matti Maltamo, Jari Vauhkonen, 2009 .

Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data

Petteri Packalen, Matti Maltamo, Lauri Mehtätalo, 2017 .

Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation

Petteri Packalen, Matti Maltamo, Lauri Mehtätalo, 2018 .