V. Junttila

发表

Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory

A. Finley, T. Kauranne, J. Bradford, 2013 .

Adaptive algorithm for large scale dtm interpolation from lidar data for forestry applications in steep forested terrain

Almasi S. Maguya, T. Kauranne, V. Junttila, 2013 .

Sparse Bayesian Estimation of Forest Stand Characteristics from Airborne Laser Scanning

Virpi Junttila, Tuomo Kauranne, Matti Maltamo, 2008 .

Airborne Laser Scanning Based Forest Inventory: Comparison of Experimental Results for the Perm Region, Russia and Prior Results from Finland

J. Peuhkurinen, T. Kauranne, V. Junttila, 2017 .

An accurate REDD+ reference level for Terai Arc Landscape, Nepal using LiDAR assisted Multi-source Programme (LAMP)

Petri Latva-Käyrä, Virpi Junttila, Tuomo Kauranne, 2015 .

Large tree diameter distribution modelling using sparse airborne laser scanning data in a subtropical forest in Nepal

J. Vauhkonen, T. Tokola, Fiona Cawkwell, 2017 .

Estimation of forest stand parameters from airborne laser scanning using calibrated plot databases.

Virpi Junttila, Tuomo Kauranne, T. Kauranne, 2010 .

Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data

Virpi Junttila, Tuomo Kauranne, John B. Bradford, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Bayesian principal component regression model with spatial effects for forest inventory variables under small field sample size.

Virpi Junttila, Marko Laine, M. Laine, 2016, 1605.07439.

Sources and sinks of greenhouse gases in the landscape: Approach for spatially explicit estimates.

A. Mäkelä, S. Tuominen, F. Minunno, 2021, The Science of the total environment.

LiDAR-Assisted Multi-Source Program (LAMP) for Measuring Above Ground Biomass and Forest Carbon

Alexander Kolesnikov, Jussi Peuhkurinen, Petri Latva-Käyrä, 2017, Remote. Sens..

Combining Camera Relascope-Measured Field Plots and Multi-Seasonal Landsat 8 Imagery for Enhancing the Forest Inventory of Boreal Forests in Central Russia

Alexander Kolesnikov, Georgy Rybakov, Jussi Peuhkurinen, 2018, Remote. Sens..

Moving Voxel Method for Estimating Canopy Base Height from Airborne Laser Scanner Data

Virpi Junttila, Tuomo Kauranne, Almasi S. Maguya, 2015, Remote. Sens..

Automated, adaptive methods for forest inventory

Virpi Junttila, V. Junttila, 2011 .

Distribution Statistics Preserving Post-Processing Method With Plot Level Uncertainty Analysis for Remotely Sensed Data-Based Forest Inventory Predictions

Virpi Junttila, Tuomo Kauranne, T. Kauranne, 2018, Remote. Sens..

Variance-preserving mosaicing of multiple satellite images for forest parameter estimation: Radiometric normalization

Alexander Kolesnikov, Virpi Junttila, Tuomo Kauranne, 2015 .

Algorithm for Extracting Digital Terrain Models under Forest Canopy from Airborne LiDAR Data

Virpi Junttila, Tuomo Kauranne, Almasi S. Maguya, 2014, Remote. Sens..

Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data

Jaan Praks, Oleg Antropov, Virpi Junttila, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Modelling the regional potential for reaching carbon neutrality in Finland: Sustainable forestry, energy use and biodiversity protection

A. Mäkelä, J. Bäck, M. Pekkonen, 2023, Ambio.

Role of land cover in Finland’s greenhouse gas emissions

F. Minunno, M. Peltoniemi, P. Kortelainen, 2023, Ambio.

Quantification of forest carbon flux and stock uncertainties under climate change and their use in regionally explicit decision making: Case study in Finland

A. Mäkelä, F. Minunno, M. Peltoniemi, 2023, Ambio.

Effect of forest management choices on carbon sequestration and biodiversity at national scale

A. Mäkelä, H. Kujala, F. Minunno, 2023, Ambio.