Tutkijaopettaja Virpi Junttila

E-mail: Virpi.Junttila@lut.fi

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

Projects as Principal Investigator
LUMA EKSP-tiedetoiminta (01/01/2018 - 31/12/2019)
LUMA Google-tiedevierailut (01/08/2016 - 31/12/2017)

Publications
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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
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
Variance-preserving mosaicing of multiple satellite images for forest parameter estimation: Radiometric normalization
(2015)
A1 Journal article (refereed), original research
Eivazi Anna, Kolesnikov Alexander, Junttila Virpi, et al.
ISPRS Journal of Photogrammetry and Remote Sensing


Last updated on 2019-09-01 at 08:49