PETTERI PACKALEN

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Publications

• Kukkonen, M; Kotivuori, E; Maltamo, M; Korhonen, L; Packalen, P. 2021. Volumes by tree species can be predicted using photogrammetric UAS data, Sentinel-2 images and prior field measurements. Silva fennica 55 1: 10360. 2021
• Ruotsalainen, Roope; Pukkala, Timo; Kangas, Annika; Myllymäki, Mari; Packalen, Petteri. 2021. Economic losses in carbon forestry due to errors in inventory data Canadian journal of forest research-revue canadienne de recherche forestiere [2 September 2020]: -. 2021
• Karjalainen, Tomi ; Mehtätalo, Lauri ; Packalen, Petteri ; Gobakken, Terje ; Næsset, Erik ; Maltamo, Matti. 2020. Field calibration of merchantable and sawlog volumes in forest inventories based on airborne laser scanning Canadian journal of forest research-revue canadienne de recherche forestiere 50 12: 1352-1364. 2020
• Packalen, Petteri; Pukkala, Timo; Pascual, Adrián. 2020. Combining spatial and economic criteria intree-level harvest planning Forest ecosystems 7 1: 18. 2020
• Kotivuori, Eetu; Kukkonen, Mikko; Mehtätalo, Lauri; Maltamo, Matti; Korhonen, Lauri; Packalen, Petteri. 2020. Forest inventories for small areas using drone imagery without in-situ field measurements Remote sensing of environment 237: 111404. 2020
• Maltamo, M; Räty, J; Korhonen, L; Kotivuori, E; Kukkonen, M; Peltola, H; Kangas, J; Packalen, P. 2020. Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images European journal of remote sensing [Epub ahead of print 08 Sep 2020]: -. 2020
• Kansanen, Kasper; Packalen, Petteri; Maltamo, Matti; Mehtätalo, Lauri. 2020. Horvitz-Thompson-like estimation with distance-based detection probabilities for circular plot sampling of forests Biometrics [Epub ahead of print 15 June 2020]: 1-13. 2020
• Gopalakrishnan, Ranjith; Packalen, Petteri; Ikonen, Veli-Pekka; Räty, Janne; Venäläinen, Ari; Laapas, Mikko; Pirinen, Pentti; Peltola, Heli. 2020. The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland Annals of forest science 77: 97. 2020
• Gopalakrishnan, Ranjith; Ali-Sisto, Daniela; Kukkonen, Mikko; Savolainen, Pekka; Packalen, Petteri. 2020. Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas Remote sensing 12 12: 1943. 2020
• Díaz-Yáñez, Olalla; Pukkala, Timo; Packalen, Petteri; Lexer, Manfred J; Peltola, Heli. 2020. Multi-objective forestry increases the production of ecosystem services Forestry [Epub ahead of print 21 Nov 2020]: cpaa041. 2020
• Cosenza, Diogo N; Korhonen, Lauri; Maltamo, Matti; Packalen, Petteri; Strunk, Jacob L; Næsset, Erik; Gobakken, Terje; Soares, Paula; Tomé, Margarida. 2020. Comparison of linear regression, k-nearest neighbor, and random forest methods in airborne laser scanning-based prediction of growing stock Forestry [Epub ahead of print 03 Oct 2020]: cpaa034. 2020
• Packalen, Petteri; Strunk, Jacob; Packalen, Tuula; Maltamo, Matti; Mehtätalo, Lauri. 2019. Resolution dependence in an area-based approach to forest inventory with airborne laser scanning Remote sensing of environment 224: 192-201. 2019
• Strunk, Jacob; Packalen, Petteri; Gould, Peter; Gatziolis, Demetrios; Maki, Caleb; Andersen, Hans-Erik; McGaughey, Robert J. 2019. Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry Forests 10 5: 397. 2019
• Strunk, J L; Gould, P J; Packalen, P; Gatziolis, D; Greblowska, D; Maki, C; McGaughey, R J. 2019. Evaluation of Pushbroom DAP relative to Frame Camera DAP and Lidar for Forest Modeling Remote sensing of environment 2020; 237: 111535. 2019
• Räty, Janne; Packalen, Petteri; Maltamo, Matti. 2019. Nearest neighbor imputation of logwood volumes using bi-temporal ALS, multispectral ALS and aerial images Scandinavian journal of forest research 34 6: 469-483. 2019
• Räty, Janne; Packalen, Petteri; Kotivuori, Eetu; Maltamo, Matti. 2019. Fusing diameter distributions predicted by an area-based approach and individual-tree detection in coniferous-dominated forests Canadian journal of forest research-revue canadienne de recherche forestiere 2020; 50: 113-125. 2019
• Ruotsalainen, R; Pukkala, T; Kangas, A; Vauhkonen, J; Tuominen, S; Packalen, P. 2019. The effects of sample plot selection strategy and the number of sample plots on inoptimality losses in forest management planning based on airborne laser scanning data Canadian journal of forest research-revue canadienne de recherche forestiere 49 9: 1135-1146. 2019
• Resolution Dependence in Airborne Laser Scanning Based Forest inventory. Packalen, P., Strunk, J., Packalen, T., Maltamo, M. and Mehtätalo, L. / -. 2019. 2019
• Predicting species-specific diameter distributions in boreal forests using bi-temporal ALS, multispectral ALS, and aerial images. Janne Räty, Petteri Packalen, Matti Maltamo / SIlviLaser 2019. 2019. 2019
• Korhonen, L; Repola, J; Karjalainen, T; Packalen, P; Maltamo, M. 2019. Laserkeilauspohjaisten puutason sekamallien soveltaminen ja kalibrointi inventointialueiden välillä Metsätieteen aikakauskirja 2019: 1-2. 2019
• Kukkonen, Mikko; Maltamo; Matti; Korhonen, Lauri; Packalen, Petteri. 2019. Comparison of multispectral airborne laser scanning and stereo matching of aerial images as a single sensor solution to forest inventories by tree species Remote sensing of environment 231: 111208. 2019
• Kukkonen, Mikko; Maltamo, Matti; Korhonen, Lauri; Packalen, Petteri. 2019. Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition IEEE transactions on geoscience and remote sensing 57 6: 3462-3471. 2019
• Korhonen, L; Repola, J; Karjalainen, T; Packalen, P; Maltamo, M. 2019. Transferability and calibration of airborne laser scanning based mixed-effects models to estimate the attributes of sawlog-sized Scots pines Silva fennica 53 3: 10179. 2019
• Karjalainen, Tomi; Packalen Petteri; Räty Janne; Maltamo Matti. 2019. Predicting factual sawlog volumes in Scots pine dominated forests using airborne laser scanning data Silva fennica 53 4: 1-17. 2019
• Karjalainen, Tomi; Korhonen, Lauri; Packalen, Petteri; Maltamo, Matti. 2019. The transferability of airborne laser scanning based tree-level models between different inventory areas Canadian journal of forest research-revue canadienne de recherche forestiere 49 3: 228-236. 2019
• Heiskanen, Janne; Adhikari, Hari; Piiroinen, Rami; Packalen, Petteri; Pellikka, Petri KE. 2019. Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes? International journal of applied earth observation and geoinformation 81: 176-185. 2019
• Gopalakrishnan, Ranjith; Seppänen, Aku; Kukkonen, Mikko; Packalen, Petteri. 2019. Utility of Image Point Cloud Data towards Generating Enhanced Multitemporal Multisensor Land Cover Maps International journal of applied earth observation and geoinformation 2020; 86: 1-11. 2019
• Díaz-Yáñez, O; Pukkala, T; Packalen, P; Peltola, H. 2019. Multifunctional comparison of different management strategies in boreal forests Forestry 2020; 93 1: 84-95. 2019
• Ali-Sisto, Daniela; Gopalakrishnan, Ranjith; Kukkonen, Mikko; Savolainen, Pekka; Packalen, Petteri. 2019. A method for vertical adjustment of digital aerial photogrammetry data by using a high-quality digital terrain model International journal of applied earth observation and geoinformation 2020; 84: 101954. 2019
• Pascual, Adrian; Pukkala, Timo; de-Miguel, Sergio; Pesonen, Annukka; Packalen, Petteri. 2018. Influence of timber harvesting costs on the layout of cuttings and economic return in forest planning based on dynamic treatment units. Forest Systems 27 1: e001. 2018
• Varvia, Petri; Lähivaara, Timo; Maltamo, Matti; Packalen, Petteri; Seppanen, Aku. 2018. Gaussian Process Regression for Forest Attribute Estimation From Airborne Laser Scanning Data IEEE transactions on geoscience and remote sensing 2019; 57 6: 3361-3369. 2018
• Räty, Janne; Packalen, Petteri; Maltamo, Matti. 2018. Comparing nearest neighbor configurations in the prediction of species-specific diameter distributions Annals of forest science 75 1: 26. 2018
• Pascual, Adrián; Pukkala, Timo; de Miguel, Sergio; Pesonen, Annukka; Packalen, Petteri. 2018. Influence of size and shape of forest inventory units on the layout of harvest blocks in numerical forest planning European journal of forest research 2019; 138 1: 111-123. 2018
• Mononen, L; Auvinen, AP; Packalen, P; Virkkala, R; Valbuena, R; Bohlin, I; Valkama, J; Vihervaara, P. 2018. Usability of citizen science observations together with airborne laser scanning data in determining the habitat preferences of forest birds FOREST ECOLOGY AND MANAGEMENT 430: 498-508. 2018
• Bayesian approach to single-tree detection in airborne laser scanning - use of training data for prior and likelihood modeling. Luostari, Teemu; Lähivaara, Timo; Packalen, Petteri; Seppänen, Aku. Journal of Physics: Conference Series. 2018. 2018
• Kukkonen, Mikael; Korhonen, Lauri; Maltamo, Matti; Suvanto, Aki; Packalen, Petteri. 2018. How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data? International journal of applied earth observation and geoinformation 72: 91-98. 2018
• Kotivuori, Eetu; Maltamo, Matti; Korhonen, Lauri; Packalen, Petteri. 2018. Calibration of nationwide airborne laser scanning based stem volume models. Remote Sensing of Environment 210: 179-192. 2018
• Hou, Zhenyang; McRoberts, Ronald E; Ståhl, Göran; Packalen, Petteri; Greenberg, Jonathan A; Xu, Qing. 2018. How much can natural resource inventory benefit from finer resolution auxiliary data?. Remote Sensing of Environment 209: 31-40. 2018
• Multispectral airborne LiDAR data in the prediction of boreal tree species using area-based methods. Kukkonen M., Maltamo M., Korhonen L., Packalen P. / Conference Program. 2018. 2018
• Maltamo M, Mehtätalo L, Valbuena R, Vauhkonen J, Packalen P. 2017. Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation. Forestry 2018; 91 1: 121-131. 2017
• Valbuena Rubén, Maltamo Matti, Mehtätalo Lauri, Packalen Petteri. 2017. Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data. Remote Sensing of Environment 194: 437-446. 2017
• Strunk Jacob L, Gould Peter J, Packalen Petteri, Poudel Krishna P, Andersen Hans-Erik, Temesgen Hailemariam. 2017. An Examination of Diameter Density Prediction with k-NN and Airborne Lidar. Forests 8 11: 444. 2017
• Melin M, Korhonen L, Kukkonen M, Packalen P. 2017. Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover. ISPRS Journal of Photogrammetry and Remote Sensing 129: 77-85. 2017
• Maltamo Matti, Mehtätalo Lauri, Valbuena Ruben, Vauhkonen Jari, Packalen Petteri. 2017. Predicting Single Tree Species Diameter Distribution by Airborne Laser Scanning Using Different Modeling Alternatives. In: Claudio Muñoz Riveros, Paulina Javiera Vidal Páez, Waldo Antonio Pérez Martínez, Pablo Christian Cruz Johnson, Markus Frederick Keusch, Jesús Torralba Pérez (ed.) , Proceedings Book 7th edition of the International Scientific Conference ForestSAT 2016. Universidad Mayor. s. 67-68. 2017
• Korhonen L, Hadi, Packalen P, Rautiainen M. 2017. Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index. Remote Sensing of Environment 195: 259-274. 2017
• Kukkonen M, Maltamo M, Packalen P. 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. International Journal of Applied Earth Observation and Geoinformation 60 August: 11-21. 2017
• Juha Keränen, Matti Maltamo, Petteri Packalen. 2017. Effect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory. In: Claudio Muñoz Riveros, Paulina Javiera Vidal Páez, Waldo Antonio Pérez Martínez, Pablo Christian Cruz Johnson, Markus Frederick Keusch, Jesús Torralba Pérez (ed.) , Proceedings Book 7th edition of the International Scientific Conference ForestSAT 2016. Universidad Mayor. s. 131-131. 2017
• Hou Zhengyang, Xu Qing, McRoberts Ronald E, Greenberg Jonathan A, Liu Jinxiu, Heiskanen Janne, Pitkänen Sari, Packalen Petteri. 2017. Effects of temporally external auxiliary data on model-based inference. Remote Sensing of Environment 198: 150-159. 2017
• Heiskanen Janne, Liu Jinxiu, Valbuena Ruben, Aynekulu Ermias, Packalen Petteri, Pellikka Petri. 2017. Remote sensing approach for spatial planning of land management interventions in West African savannas. Journal of Arid Environments 140: 29-41. 2017
• Ali-Sisto Daniela, Packalen Petteri. 2017. Comparison of 3D point clouds from aerial stereo images and lidar for forest change detection. In: Honkavaara E, Hu K, Karantzalos B, Liang X, Müller R, Nocerino E, Pölönen I, Rönnholm P (ed.) , The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. International Society of Photogrammetry and Remote Sensing. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3. s. 1-5. 2017
• Valbuena R, Maltamo M, Packalen P. 2016. Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods. Revista de teledeteccìon 45 Special issue: 15-25. 2016
• Varvia Petri, Lähivaara Timo, Maltamo Matti, Packalen Petteri, Tokola Timo, Seppänen Aku. 2016. Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2017; 55 3: 1671-1681. 2016
• Valbuena Rubén, Maltamo Matti, Packalen Petteri. 2016. Classification of multilayered forest development classes from low-density national airborne lidar datasets. Forestry 89 4: 392-401. 2016
• Valbuena Rubén, Heiskanen Janne, Aynekulu Ermias, Pitkänen Sari, Packalen Petteri. 2016. Sensitivity of Above-Ground Biomass Estimates to Height-Diameter Modelling in Mixed-Species West African Woodlands. PLOS ONE [ONLINE] 11 7: 1-24. 2016
• Kotivuori E, Korhonen L, Packalen P. 2016. Nationwide airborne laser scanning based models for volume, biomass and dominant height in Finland. SILVA FENNICA 50 4: 1567. 2016
• Melin Markus, Heiskanen Janne, Packalen Petteri, Valbuena Ruben. 2016. Inventory of biomass and forest resources. In: Mononen Kirsi, Pitkänen Sari (ed.) Sustainable fuelwood management. Itä-Suomen yliopisto. s. 27-64. 2016
• Melin M, Mehtätalo L, Miettinen J, Tossavainen S, Packalen P. 2016. Forest structure as a determinant of grouse brood occurrence - An analysis linking LiDAR data with presence/absence field data. FOREST ECOLOGY AND MANAGEMENT 380: 202-211. 2016
• Kotivuori Eetu, Korhonen Lauri, Packalen Petteri. 2016. Suomen valtakunnalliset laserkeilauspohjaiset puuston tilavuus-, biomassa- ja valtapituusmallit. Metsätieteen aikakauskirja 3-4/2016: 205-207. 2016
• Keränen Juha, Maltamo Matti, Packalen Petteri. 2016. Effect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 52: 349-360. 2016
• Ali-Sisto Daniela, Packalen Petteri. 2016. Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2017; 10 3: 1197-1206. 2016
• Varvia Petri, Lähivaara Timo, Maltamo Matti, Packalén Petteri, Tokola Timo, Seppänen Aku. 2015. Uncertainty quantification in ALS-based species-specific growing stock volume estimation. In: S. Durrieu, and C. Véga (ed.) Proceedings of SilviLaser 2015, 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems, September 28-30, 2015 - La Grande Motte, France. s. 134-136. 2015
• Valbuena Ruben, Eerikäinen Kalle, Packalen Petteri, Maltamo Matti. 2015. Gini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure. ECOLOGICAL INDICATORS 60 (2016): 574-585. 2015
• Pippuri Inka, Suvanto Aki, Maltamo Matti, Korhonen Kari T, Pitkänen Juho, Packalen Petteri. 2015. Classification of forest land attributes using multi-source remotely sensed data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 2016; 44: 11-22. 2015
• Petteri Packalen, Jacob Strunk, Juho Pitkänen, Hailemariam Temesgen and Matti Maltamo.. 2015. Edge-tree correction improves the performance of area-based approach with airborne laser scanning. In: S. Durrieu and C. Véga (ed.) , Proceedings of SilviLaser 2015. SFPT, IGN, IRSTEA. s. 140-141. 2015
• Melin M, Matala J, Mehtätalo L, Suvanto A, Packalen P. 2015. Detecting moose (Alces alces) browsing damage in young boreal forests from airborne laser scanning data. CANADIAN JOURNAL OF FOREST RESEARCH 2016; 46 1: 10-19. 2015
• Packalen Petteri, Strunk Jacob L, Pitkänen Juho A, Temesgen Hailemariam, Maltamo Matti. 2015. Edge-Tree Correction for Predicting Forest Inventory Attributes Using Area-Based Approach With Airborne Laser Scanning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 3: 1274-1280. 2015
• Melin M, Matala J, Mehtätalo L, Pusenius J, Packalen P. 2015. Ecological dimensions of airborne laser scanning - Analyzing the role of forest structure in moose habitat use within a year. Remote Sensing of Environment 173 (2016): 238-247. 2015
• Mehtätalo Lauri, Virolainen Anni, Tuomela Jukka, Packalen Petteri. 2015. Estimating Tree Height Distribution Using Low-Density ALS Data With and Without Training Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 4: 1432-1441. 2015
• Keränen Juha, Peuhkurinen Jussi, Packalen Petteri, Maltamo Matti. 2015. Effect of minimum diameter at breast hight and standing dead wood field measurements on the accuracy of ALS-based forest inventory. CANADIAN JOURNAL OF FOREST RESEARCH 45 10: 1280-1288. 2015
• Eric Bastos Görgens, Petteri Packalen, André Gracioso Peres da Silva, Clayton Alcarde Alvares, Otavio Camargo Campoe, José Luiz Stape, Luiz Carlos Estraviz Rodriguez. 2015. Stand volume models based on stable metrics as from multiple ALS acquisitions in Eucalyptus plantations. Annals of Forest Science 72 4: 489-498. 2015
• Vihervaara Petteri, Mononen Laura, Auvinen Ari-Pekka, Virkkala Raimo, Lü Aihe, Pippuri Inka, Packalen Petteri, Valbuena Ruben,Valkama Jari. 2014. How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale. Landscape Ecology online first 12/2014: 16 p.. 2014
• Strunk Jacob, Temesgen Hailemarian, Andersen Hans-Erik, Packalen Petteri. 2014. Prediction of forest attributes with field plots, landsat and a sample of lidar strips: A case study on the Kenai Peninsula, Alaska. Photogrammetric Engineering and Remote Sensing 80 2: 143-150. 2014
• Valbuena R, Vauhkonen J, Packalen P, Pitkänen J, Maltamo M. 2014. Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves. ISPRS Journal of Photogrammetry and Remote Sensing 95: 23-33. 2014
• Valbuena R., Packalen P., Tokola, T., Maltamo, M.. 2014. Canonical correlation analysis for interpreting airborne laser scanning metrics along the Lorenz curve of tree size inequality. Baltic Forestry 20 2: 326-332. 2014
• Pukkala Timo, Packalén Petteri, Heinonen T. 2014. Dynamic Treatment Units in Forest Management Planning: Borges, J.G., Diaz-Balteiro, L., McDill, M.E., Rodriguez, L.C.E, The Management of Industrial Forest Plantations. Managing Forest Ecosystems 33. 373-392. 2014
• Maltamo,M., Packalen, P.. 2014. Species specific management inventory in Finland: Maltamo, M., Naesset, E., Vauhkonen, J., Forestry Applications of Airborne Laser Scanning - concepts and case studies. Managing Forest Ecosystems 27. 241-252. 2014
• Jari Vauhkonen, Petteri Packalen, Jukka Malinen, Juho Pitkänen & Matti Maltamo. 2014. Airborne laser scanning-based decision support for wood procurement planning. SCANDINAVIAN JOURNAL OF FOREST RESEARCH 29 Supplement 1: 132-143. 2014
• Melin Markus, Matala Juho, Mehtätalo Lauri, Tiilikainen Raisa, Tikkanen Olli-Pekka, Maltamo Matti, Pusenius Jyrki, Packalen Petteri. 2014. Moose (Alces alces) reacts to high summer temperatures by utilizing thermal shelters in boreal forests - an analysis based on airborne laser scanning of the canopy structure at moose locations. GLOBAL CHANGE BIOLOGY 20 4: 1115-1125. 2014
• Packalen P, Vauhkonen J, Kallio E, Peuhkurinen J, Pitkänen J, Pippuri I, Strunk J, Maltamo M. 2013. Predicting the spatial pattern of trees by airborne laser scanning. International Journal of Remote Sensing 34 14: 5154-5165. 2013
• Valbuena R, Maltamo M, Martín-Fernández S, Packalen P, Pascual C, Nabuurs GJ. 2013. Patterns of Covariance between Airborne Laser Scanning Metrics and Lorenz Curve Descriptors of Tree Size Inequality.. Canadian Journal of Remote Sensing 39 S1: 18-31. 2013
• Pippuri Inka, Maltamo Matti, Packalen Petteri, Mäkitalo Juha. 2013. Predicting species-specific basal areas in urban forests using airborne laser scanning and existing stand register data. EUROPEAN JOURNAL OF FOREST RESEARCH 132 5-6: 999-1012. 2013
• Valbuena Ruben, Packalen Petteri, Mehtätalo Lauri, Garcia-Abril Antonio, Maltamo Matti. 2013. Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning. CANADIAN JOURNAL OF FOREST RESEARCH 43 11: 1063-1074. 2013
• Melin Markus, Packalen Petteri, Matala Juho, Mehtätalo Lauri, Pusenius Jyrki. 2013. Assessing and modeling moose (Alces alces) habitats with Airborne laser scanning data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 23: 389-396. 2013
• Korhonen L, Pippuri I, Packalén P, Heikkinen V, Maltamo M, Heikkilä J. 2013. Taimikonhoitotarpeen määrittäminen korkean resoluution kaukokartoitusaineistojen avulla. Metsätieteen aikakauskirja 2013 2: 193. 2013
• Korhonen L, Pippuri I, Packalén P, Heikkinen V, Maltamo M, Heikkilä J. 2013. Detection of the need for seedling stand tending using high-resolution remote sensing data. SILVA FENNICA 47 2: 952. 2013
• Härkönen S, Tokola T, Packalén P, Korhonen L, Mäkelä A. 2013. Predicting forest growth based on airborne LiDAR data, climate data and simplified process-based model. CANADIAN JOURNAL OF FOREST RESEARCH 43 4: 364-374. 2013
• Inka Pippuri, Eveliina Kallio, Matti Maltamo, Heli Peltola ja Petteri Packelén. 2012. Exploring horizontal area-based metrics to discriminate the spatial pattern of trees and need for first thinning using airborne laser scanning Forestry 85(2): 305-314. 2012
• Maltamo Matti, Mehtätalo Lauri, Vauhkonen Jari, Packalén Petteri. 2012. Predicting and calibrating tree attributes by means of airborne laser scanning and field measurements. CANADIAN JOURNAL OF FOREST RESEARCH 42: 1896-1907. 2012
• Packalén P, Temesgen H, Maltamo M. 2012. Variable Selection Strategies for Nearest Neighbor Imputation in Remote Sensing Based Forest Inventory. Canadian Journal of Remote Sensing 38 5: 1-13. 2012
• Valbuena Ruben, Packalén Petteri , Martin-Fernandez Susana, Maltamo Matti. 2012. Diversity and Equitability Ordering Profiles Applied to the Study of Forest Structure. FOREST ECOLOGY AND MANAGEMENT 276: 185-195. 2012
• Vauhkonen, J. Ene, L., Gupta, S., Heinzel, J., Holmgren, J., Pitkänen, J., Solberg, S., Wang, Y., Weinacker, H., Hauglin, K.M., Lien, V., Packalén, P., Gobakken, T., Koch, B., Næsset, E., Tokola, T. and Maltamo, M.. 2012. Comparative testing of single-tree detection algorithms. Forestry 85: 27-40. 2012
• Vauhkonen, J., Seppänen, A., Packalén, P., Tokola, T.. 2012. Improving species-specific plot volume estimates based on airborne laser scanning and image data using alpha shape metrics and balanced field data. Remote Sensing of Environment 124: 534-541. 2012
• Villikka, M., Packalén, P. and Maltamo, M. 2012. The suitability of leaf-off airborne laser scanner data for forest inventory. SILVA FENNICA 46: 99-110. 2012
• Packalén, P., Vauhkonen, J., Kallio, E., Peuhkurinen, J., Pitkänen, J., Pippuri, I. and Maltamo, M.. 2011. Comparison of the spatial pattern of trees obtained by ALS based forest inventory techniques: -, Silvilaser 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems. 8. 2011
• Vehmas, M., Eerikäinen, K., Peuhkurinen, J., Packalén, P. and Maltamo, M. 2011. Airborne laser scanning for the site type identification of mature boreal forest stands Remote Sensing 3: 100-116. 2011
• Vehmas M., Packalén, P., Maltamo, M., and Eerikäinen, K.. 2011. Using airborne laser scanning data for detecting canopy gaps and their understory type in mature boreal forest Annals of Forest Science 68: 825-835. 2011
• Pippuri I., Kallio E., Maltamo M., Packalén P. and Peltola Heli.. 2011. Exploring horizontal area-based metrics to discriminate the spatial pattern of trees using ALS: -, Silvilaser 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems. 8. 2011
• Maltamo, M., Bollandsås, O.M., Næsset, E., Gobakken, T. and Packalén, P.. 2011. Different plot selection strategies for field training data in ALS-assisted forest inventory Forestry 84: 23-31. 2011
• Packalén, P., Mehtätalo, L. and Maltamo, M.. 2011. ALS-based estimation of plot volume and site index in a eucalyptus plantation with a nonlinear mixed-effect model that accounts for the clone effect Annals of Forest Science 68: 1085-1092. 2011
• Packalén, P., Heinonen, T., Pukkala, T., Vauhkonen, J. and Maltamo, M. 2011. Dynamic treatment units in Eucalyptus plantations Forest Science 57: 416-426. 2011
• Maltamo, M., Packalén, P., Kallio, E., Kangas, J., Uuttera, J., and Heikkilä, J.. 2011. Airborne laser scanning based stand level management inventory in Finland: -, Silvilaser 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems. 9. 2011
• Jari Vauhkonen, Lauri Mehtätalo, and Petteri Packalén. 2011. Combining tree height samples produced by airborne laser scanning and stand management records to estimate plot volume in Eucalyptus plantations CANADIAN JOURNAL OF FOREST RESEARCH 41 8: 1649-1658. 2011
• Jari Vauhkonen, Petteri Packalén & Juho Pitkänen. 2011. Airborne laser scanning-based stem volume imputation in a managed, boreal forest area: a comparison of estimation units: -, SilviLaser 2011 - 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems. 9. 2011
• Zonate Matheus, Rodriguez Luiz Carlos Estraviz and Packalén Petteri. 2010. Estimação de parâmetros biométricos de plantios clonais de eucalipto no sul da Bahia: uma aplicação da tecnologia laser aerotransportada Scientia Forestalis 38 86: 225-235. 2010
• Vauhkonen, Jari; Ene, Liviu; Gupta, Sandeep; Heinzel, Johannes; Holmgren, Johan; Pitkänen, Juho; Solberg, Svein; Wang, Yunsheng; Weinacker, Holger; Hauglin, Knut Marius; Lien, Vegard; Packalén, Petteri; Gobakken, Terje; Koch, Barbara; Næsset, Erik; Tokola, Timo; Maltamo, Matti. 2010. Comparative testing of single-tree detection algorithms: -, Silvilaser 2010, the 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems. 11 p.. 2010
• Pesonen Annukka, Kangas Annika, Maltamo Matti and Packalén Petteri. 2010. Different sources of auxiliary information in coarse woody debris inventory. FOREST ECOLOGY AND MANAGEMENT 259: 1890-1899. 2010
• Packalén Petteri, Mehtätalo Lauri and Maltamo Matti. 2010. ALS based estimation of plot volume and site index in a Eucalyptus plantation with a nonlinear mixed effect model that accounts for the clone effect.: xxx, Proceedings of Silvilaser 2010. Freiburg, Germany, September 14-17, 2010.. xxx. 2010
• Niska H, Packalén P, Skön J-P, Tokola T, Maltamo M & Kolehmainen M. 2010. Neural networks for the prediction of species-specific stem volumes using airborne laser scanning and aerial photographs. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 48 3: 1076-1085. 2010
• Jari Vauhkonen, Timo Tokola, Matti Maltamo & Petteri Packalén. 2010. Applied 3D texture features in ALS-based forest inventory. EUROPEAN JOURNAL OF FOREST RESEARCH 129 5: 803-811. 2010
• Eerikäinen Hanna, Packalén Petteri, Maltamo Matti, Mäkitalo Juha. 2010. Ruissalon tammien visuaalinen tulkinta stereokuvalta. Metsätieteen aikakauskirja 2/2010 2/2010: 129-142. 2010
• Vehmas, Mikko; Pesonen, Annukka; Packalén, Petteri ja Maltamo, Matti. 2009. Use of airborne laser scanning data in assessing various ecologically important habitats in natural stage boreal forests.. In: (ed.) , Finnish Conference of Environmental Science, May 14-15, Lahti, Finland. ss. 27. 2009
• Vehmas, Mikko; Packalén, Petteri ja Maltamo, Matti. 2009. Assessing deadwood existence in canopy gaps by using ALS data., SilviLaser 2009, October 14-16, College Station, Texas USA. 137-144. 2009
• Vehmas, Mikko; Eerikäinen, Kalle; Peuhkurinen, Jussi; Packalén, Petteri ja Maltamo, Matti. 2009. Identification of boreal forest stands with high herbaceous plant diversity using airborne laser scanning.. Forest Ecology and Management 257: 46-53. 2009
• Vauhkonen, Jari; Tokola, Timo; Packalén, Petteri; Maltamo, Matti. 2009. Identification of Scandinavian Commercial Species of Individual Trees from Airborne Laser Scanning Data Using Alpha Shape Metrics. Forest Science 55 1: 37-47. 2009
• Packalén, Petteri, Suvanto, Aki, and Maltamo, Matti. 2009. A two stage method to estimate species-specific growing stock by combining ALS data and aerial photographs of known orientation parameters Photogrammetric Engineering & Remote Sensing 75 12: 1451¿1460. 2009
• Pesonen, A., Packalén, P., Maltamo, M. and Kangas, A. 2009.. 2009. Different sources of auxiliary information in coarse woody debris inventory.: Popescu, S., Nelson, R., Zhao, K. and Neuenschwander, A., Proceedings of SilviLaser 2009, 9th international conference on lidar applications for assessing forest ecosystems. 342-351. 2009
• Maltamo, Matti, Peuhkurinen, Jussi, Malinen, Jukka, Vauhkonen, Jari, Packalén, Petteri ja Tokola, Timo. 2009. Predicting tree attributes and quality characteristics of Scots pine using airborne laser scanning data Silva Fennica 43: 507-521. 2009
• Packalén Petteri. 2009. Using airborne laser scanning data and digital aerial photographs to estimate growing stock by tree species. 2009
• Maltamo, Matti, Peuhkurinen, Jussi, Malinen, Jukka, Vauhkonen, Jari, Packalén, Petteri ja Tokola, Timo. 2009. Männyn puu- ja laatutunnusten ennustaminen laserkeilauksella, Metsätieteen Aikakauskirja 4/2009. 409-410. 2009
• Maltamo, Matti, Packalén, Petteri, Suvanto, Aki, Korhonen, Kari Tapani, Mehtätalo, Lauri ja Hyvönen, Pekka. 2009. Combining ALS and NFI training data for forest management planning -a Case Study in Kuortane, Western Finland. European Journal of Forest Research 128: 305-317. 2009
• Maltamo, Matti, Naesset, Erik, Bollandsås, Ole Martin, Gobakken, Terje ja Packalén, Petteri. 2009. Non-parametric estimation of diameter distributions by using ALS data Scandinavian Journal of Forest Research 24: 541-553. 2009
• Maltamo, Matti, Bollandsås, Ole Martin, Næsset, Erik, Gobakken, Terje ja Packalén, Petteri. 2009. Different sampling strategies for field training plots in ALS inventory: Popescu, S., Nelson, R., Zhao, K. ja Neuenschwander, A., Proceedings of SilviLaser 2009, 9th international conference on lidar applications for assessing forest ecosystems. 193-201. 2009
• Mustonen, Jukka; Packalén, Petteri and Kangas, Annika. 2009. Automatic Segmentation of Forest Stands Using Canopy Height Model and Aerial Photograph. Scandinavian Journal of Forest Research 23 6: 534-545. 2009
• Packalén, Petteri, Maltamo, Matti and Tokola, Timo. 2008. Detailed Assessment Using Remote Sensing Techniques: von Gadow, Klaus and Pukkala, Timo, Designing Green Landscapes.Springer. Managing Forest Ecosystems. 53-77. 2008
• Vehmas, Mikko; Eerikäinen, Kalle; Peuhkurinen, Jussi; Packalén, Petteri ja Maltamo, Matti. 2008. Airborne laser scanning for the identification of boreal forest site types, Silvilaser 2008. 58-65. 2008
• Raita Säynäjoki, Petteri Packalén, Matti Maltamo, Mikko Vehmas ja Kalle Eerikäinen. 2008. Detection of aspens using high resolution aerial laser scanning data and digital aerial images. Sensors 8: 5038-5055. 2008
• Pesonen Annukka, Maltamo Matti, Petteri Packalén, Leino Olli. 2008. The comparison of airborne laser scanning-based probability layers as auxiliary information for assessing coarse woody debris, Silvilaser 2008. 526-535. 2008
• Pesonen Annukka, Maltamo Matti, Eerikäinen Kalle & Packalén Petteri. 2008. Airborne laser scanning-based prediction of coarse woody debris volumes in a conservation area. Forest Ecology and Management 255: 3288-3296. 2008
• Packalén, Petteri; Pitkänen, Juho and Maltamo, Matti. 2008. Comparison of individual tree detection and canopy height distribution approaches: a case study in Finland: Hill, Ross; Suárez, Juan and Rosette, Jackie, Silvilaser 2008. 22-29. 2008
• Tokola Timo, Maltamo Matti, Kotamaa Eveliina, Packalén Petteri ja Kurttila Mikko. 2008. Integration of ALS based bioenergy inventory data and optimal bucking for stand level decision making: Hahn A., Knoke T. ja Schneider, T., Lifo2008 ¿Linking Forest Inventory and optimization¿ an international conference of the IUFRO units 4.02.00 and 4.04.00. 41. 2008
• Packalén, Petteri and Maltamo, Matti. 2008. The estimation of species-specific diameter distributions using airborne laser scanning and aerial photographs. Canadian Journal of Forest Research 38: 1750-1760. 2008
• Matti Närhi, Matti Maltamo, Petteri Packalén, Heli Peltola ja Janne Soimasuo. 2008. Kuusen taimikoiden inventointi ja taimikonhoidon kiireellisyyden määrittäminen laserkeilauksen ja metsäsuunnitelmatietojen avulla. Metsätieteen aikakauskirja 1/2008: 5-15. 2008
• Matti Maltamo, Petteri Packalén, Janne Uuttera, Esa Äröla, Juho Heikkilä. 2008. Laserkeilaustulkinnan hyödyntäminen metsäsuunnittelun tietolähteenä. Metsätieteen aikakauskirja 4/2008: 304-309. 2008
• Matti Maltamo, Jussi Peuhkurinen, Jukka Malinen, Jari Vauhkonen, Petteri Packalén ja Timo Tokola. 2008. Predicting tree level quality characteristics of Scots pine using airborne laser scanning data, IUFRO Working Party 5.01.04 Wood Quality Modelling. Connection between Forest Resources and Wood Quality: Modelling Approaches and Simulation Software. 81. 2008
• Korhonen Lauri, Peuhkurinen Jussi, Malinen Jukka, Suvanto Aki, Maltamo Matti, Packalen Petteri and Kangas Jyrki. 2008. The use of airborne laser scanning to estimate sawlog volumes. Forestry: An International Journal of Forest Research 84 4: 499-510. 2008
• Jussi Peuhkurinen, Matti Maltamo, Lauri Vesa, and Petteri Packalén. 2008. Estimation of Forest Stand Characteristics Using Spectral Histograms Derived from an Ikonos Satellite Image. Photogrammetric Engineering & Remote Sensing 74 11: 1335¿1341. 2008
• Jari Vauhkonen, Timo Tokola, Petteri Packalén, Matti Maltamo. 2008. Applied 3D texture features in ALS based forest inventory. In: (ed.) , LIFO2008 - "Linking Forest Inventory and Optimization" - an international conference of the IUFRO units 4.02.00 and 4.04.00. ss. 44. 2008
• Jari Vauhkonen, Timo Tokola, Matti Maltamo, and Petteri Packalén. 2008. Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data. Canadian Journal of Remote Sensing 34 Suppl. 2: S441-S459. 2008
• Villikka Maria;Maltamo Matti;Packalén Petteri;Vehmas Mikko;Hyyppä Juha. 2007. Alternatives for predicting tree-level stem volume of Norway spruce using airborne laser scanner data. Photogrammetric Journal of Finland 20 2: 33-42. 2007
• Peuhkurinen, Jussi; Maltamo, Matti; Malinen, Jukka; Pitkänen, Juho; Packalén, Petteri. 2007. Preharvest Measurement of Marked Stands Using Airborne Laser Scanning. Forest Science 53 6: 653-661. 2007
• Peuhkurinen Jussi;Maltamo Matti;Malinen Jukka;Pitkänen Juho;Packalén Petteri. 2007. Preharvest measurement of marked stands using airborne laser scanning. Forest Science 53: 653-661. 2007
• Packalén Petteri & Maltamo Matti. 2007. The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs. Remote Sensing of Environment 109 3: 328-341. 2007
• Mehtätalo Lauri;Maltamo Matti;Packalén Petteri. 2007. Recovering plot-specific diameter distribution and height-diameter curve using ALS based stand characteristics: Rönnholm Petri;Hyyppä Hannu;Hyyppä Juha, Proceedings of ISPRS Workshop Laser Scanning 2007 and Silvilaser 2007 , September 12-14, 2007, Finland. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 288-293. 2007
• Maltamo Matti;Suvanto Aki;Packalén Petteri. 2007. Comparison of basal area and stem frequency diameter distribution modelling using airborne laser scanner data and calibration estimation Forest Ecology and Management 247: 26-34. 2007
• Maltamo Matti;Packalén Petteri;Peuhkurinen Jussi;Suvanto Aki;Pesonen Annukka;Hyyppä Juha. 2007. Experiences and possibilities of ALS based forest inventory in Finland: Rönnholm Petri;Hyyppä Hannu;Hyyppä Juha, Proceedings of ISPRS Workshop Laser Scanning 2007 and Silvilaser 2007 , September 12-14, 2007, Finland. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 270-279. 2007
• Maltamo Matti;Korhonen Kari Tapani;Packalén Petteri;Mehtätalo Lauri;Suvanto Aki. 2007. A test on the usability of truncated angle count sample plots as ground truth in airborne laser scanning based forest inventory.. Forestry: An International Journal of Forest Research 80: 73-81. 2007
• Maltamo Matti;Eerikäinen Kalle;Packalén Petteri;Hyyppä Juha. 2006. Estimation of stem volume using laser scanning based canopy height metrics. Forestry: An International Journal of Forest Research 79: 217-229. 2006
• Maltamo Matti;Hyyppä Juha;Eerikäinen Kalle;Packalén Petteri;Vehmas Mikko;Kouki Jari. 2006. Metsikön vertikaalisen rakenteen tutkiminen 3D-kaukokartoituksen avulla: Horne Paula;Koskela Terhi;Kuusinen;Mikko;Otsamo Antti;Syrjänen Kimmo, METSON jäljillä - Etelä-Suomen metsien monimuotoisuusohjelman tutkimusraportti. 247-249. 2006
• Maltamo Matti;Malinen Jukka;Packalén Petteri;Suvanto Aki;Kangas Jyrki. 2006. Non-parametric estimation of stem volume using laser scanning, aerial photography and stand register data. Canadian Journal of Forest Research 36: 426-436. 2006
• Packalén Petteri;Maltamo Matti. 2006. Combined use of ALS data and aerial photographs for predicting stand volume by tree species, Proceedings of the international concerence Silvilaser 2006. November 7-10,2006. Ehime Prefectual Convention Hall Matsuyama, Japan. 136-141. 2006
• Petteri Packalén & Matti Maltamo. 2006. Predicting the plot volume by tree species using airborne laser scanning and aerial photographs Forest Science 56 6: 611-622. 2006
• Petteri Packalén;Timo Tokola;Juhani Saastamoinen & Matti Maltamo. 2006. Use of a superresolution method in interpretation of forests from multiple NOAA/AVHRR images. International Journal of Remote Sensing 27 23-24: 5341-5357. 2006
• Maltamo Matti;Packalén Petteri;Yu Xiaowei;Eerikäinen Kalle;Hyyppä. Juha & Pitkänen Juho. 2005. Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data. Forest Ecology and Management 216: 41-50. 2005
• Suvanto Aki;Maltamo Matti;Packalén Petteri & Kangas Jyrki. 2005. Kuviokohtaisten puustotunnusten ennustaminen laserkeilauksella. Metsätieteen aikakauskirja 4/2005: 413-428. 2005
• Evaluation of the suitability of the ICP data set for forest biodiversity monitoring. Final Report.. Packalén Petteri;Maltamo Matti. 2002 2002