Tutkijaopettaja Virpi Junttila

E-mail: Virpi.Junttila@lut.fi Mobile phone: +358 50 323 8926 CV: Uploaded on: 01/03/2019

Current Organisation

Computational and Process Engineering (Superior organisation: LUT School of Engineering Science)

Research Areas

Ecological Modelling Mathematics Modelling and Simulation Statistics, Probability and Uncertainty

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Projects as Principal Investigator

LUMA Tiedeluokka (01/03/2020 - 31/12/2022) Funder: Other Finnish LUMA EKSP-tiedetoiminta (01/01/2018 - 31/12/2019) Funder: Other Finnish LUMA Google-tiedevierailut (01/08/2016 - 31/12/2017) Funder: Other International

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Publications

1 of 2

Combining Camera Relascope-Measured Field Plots and Multi-Seasonal Landsat 8 Imagery for Enhancing the Forest Inventory of Boreal Forests in Central Russia (2018) A1 Journal article (refereed), original research Rybakov Georgy, Peuhkurinen Jussi, Latva-Käyrä Petri, et al. Remote Sensing Distribution Statistics Preserving Post-Processing Method With Plot Level Uncertainty Analysis for Remotely Sensed Data-Based Forest Inventory Predictions (2018) A1 Journal article (refereed), original research Junttila Virpi, Kauranne Tuomo Remote Sensing Tropical forest tree height and above ground biomass mapping in Nepal using TanDEM-X and ALOS PALSAR data (2018) A4 Conference proceedings Antropov Oleg, Rauste Yrjö, Tegel Katri, et al. IEEE International Geoscience and Remote Sensing Symposium proceedings 2018 IEEE International Geoscience and Remote Sensing Symposium IGARSS 2018 Airborne Laser Scanning Based Forest Inventory: Comparison of Experimental Results for the Perm Region, Russia and Prior Results from Finland (2017) A1 Journal article (refereed), original research Kauranne Tuomo, Pyankov Sergey, Junttila Virpi, et al. Forests Bayesian principal component regression model with spatial effects for forest inventory variables under small field sample size (2017) A1 Journal article (refereed), original research Junttila Virpi, Laine Marko Remote Sensing of Environment Large tree diameter distribution modelling using sparse airborne laser scanning data in a subtropical forest in Nepal (2017) A1 Journal article (refereed), original research Rana Parvez, Vauhkonen Jari, Junttila Virpi, et al. ISPRS Journal of Photogrammetry and Remote Sensing LiDAR-Assisted Multi-source Processes (LAMP) for Measuring Above Ground Biomass and Forest Carbon (2017) A1 Journal article (refereed), original research Kauranne Tuomo, Joshi Anup, Gautam Basanta, et al. Remote Sensing Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data (2015) A1 Journal article (refereed), original research Junttila Virpi, Kauranne Tuomo, Finley Andrew O., et al. IEEE Transactions on Geoscience and Remote Sensing Moving Voxel Method for Estimating Canopy Base Height from Airborne Laser Scanner Data (2015) A1 Journal article (refereed), original research Maguya Almasi S., Tegel Katri, Junttila Virpi, et al. Remote Sensing Robustness of model-based high-resolution prediction of forest biomass against different field plot designs (2015) A1 Journal article (refereed), original research Junttila Virpi, Gautam Basanta, Karky Bhaskar Singh, et al. Carbon Balance and Management

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Last updated on 2019-01-03 at 04:02

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