Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs. - Harri Niska; Jukka-Pekka Skon; Petteri Packalen; Timo Tokola; Matti Maltamo; Mikko Kolehmainen (IEEE Trans. Geosci. Remote. Sens., 2010)

Airborne Laser Scanning for the Site Type Identification of Mature Boreal Forest Stands. - Mikko Vehmas; Kalle Eerikäinen; Jussi Peuhkurinen; Petteri Packalen; Matti Maltamo (Remote. Sens., 2011)

Assessing and modeling moose (Alces alces) habitats with airborne laser scanning data. - Markus Melin; Petteri Packalen; J. Matala; Lauri Mehtätalo; J. Pusenius (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Estimating Tree Height Distribution Using Low-Density ALS Data With and Without Training Data. - Lauri Mehtätalo; Anni Virolainen; Jukka Tuomela; Petteri Packalen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Edge-Tree Correction for Predicting Forest Inventory Attributes Using Area-Based Approach With Airborne Laser Scanning. - Petteri Packalen; Jacob L. Strunk; Juho Pitkänen; Hailemariam Temesgen; Matti Maltamo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Effect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory. - Juha Keränen; Matti Maltamo; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Classification of forest land attributes using multi-source remotely sensed data. - Inka Pippuri; Aki Suvanto; Matti Maltamo; Kari T. Korhonen; Juho Pitkänen; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2016)

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. - Mikael Kukkonen; Matti Maltamo; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model. - Daniela Ali-Sisto; Petteri Packalen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation. - Petri Varvia; Timo Lähivaara; Matti Maltamo; Petteri Packalen; Timo Tokola; Aku Seppänen (IEEE Trans. Geosci. Remote. Sens., 2017)

How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data? - Mikael Kukkonen; Lauri Korhonen; Matti Maltamo; Aki Suvanto; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes? - Janne Heiskanen; Hari Adhikari; Rami Piiroinen; Petteri Packalen; Petri K. E. Pellikka (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition. - Mikko Kukkonen; Matti Maltamo; Lauri Korhonen; Petteri Packalen (IEEE Trans. Geosci. Remote. Sens., 2019)

Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data. - Petri Varvia; Timo Lähivaara; Matti Maltamo; Petteri Packalen; Aku Seppänen (IEEE Trans. Geosci. Remote. Sens., 2019)

A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model. - Daniela Ali-Sisto; Ranjith Gopalakrishnan; Mikko Kukkonen; Pekka Savolainen; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Utility of image point cloud data towards generating enhanced multitemporal multisensor land cover maps. - Ranjith Gopalakrishnan; Aku Seppänen; Mikko Kukkonen; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas. - Ranjith Gopalakrishnan; Daniela Ali-Sisto; Mikko Kukkonen; Pekka Savolainen; Petteri Packalen (Remote. Sens., 2020)

Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories. - Mikko Kukkonen; Matti Maltamo; Lauri Korhonen; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data. - Janne Toivonen; Lauri Korhonen; Mikko Kukkonen; Eetu Kotivuori; Matti Maltamo; Petteri Packalen (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model. - Lauri Mehtätalo; Adil Yazigi; Kasper Kansanen; Petteri Packalen; Timo Lähivaara; Matti Maltamo; Mari Myllymäki; Antti Penttinen (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories. - Janne Räty; Petri Varvia; Lauri Korhonen; Pekka Savolainen; Matti Maltamo; Petteri Packalen (IEEE Trans. Geosci. Remote. Sens., 2022)

Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory. - Fangting Chen; Zhengyang Hou; Svetlana Saarela; Ronald E. McRoberts; Göran Ståhl; Annika Kangas; Petteri Packalen; Bo Li; Qing Xu (Int. J. Appl. Earth Obs. Geoinformation, 2023)

mgpr: An R package for multivariate Gaussian process regression. - Petri Varvia; Janne Räty; Petteri Packalen (SoftwareX, 2023)

Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data. - Mikko Kukkonen; Timo Lähivaara; Petteri Packalen (IEEE Trans. Geosci. Remote. Sens., 2024)

Mitigation of Spatial Effects on an Area-Based Lidar Forest Inventory (2024). - Jacob L. Strunk; Diogo Nepomuceno Cosenza; Francisco Mauro; Hans-Erik Andersen; Sytze de Bruin; Timothy Bryant; Petteri Packalen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)