Mikko Vastaranta

Orcid: 0000-0001-6552-9122

According to our database1, Mikko Vastaranta authored at least 45 papers between 2009 and 2024.

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Bibliography

2024
Space Probe Retrieval: A LiDAR-Based Augmented Reality Game for Forest Data Collection.
Proceedings of the Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play, 2024

2023
A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings.
Remote. Sens., November, 2023

Evaluating Factors Impacting Fallen Tree Detection from Airborne Laser Scanning Point Clouds.
Remote. Sens., January, 2023

2022
Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests.
Remote. Sens., 2022

Feasibility of Bi-Temporal Airborne Laser Scanning Data in Detecting Species-Specific Individual Tree Crown Growth of Boreal Forests.
Remote. Sens., 2022

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season.
Remote. Sens., 2022

2021
Point clouds from terrestrial laser scanning from crowns of individual Scots pine trees.
Dataset, December, 2021

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications.
Remote. Sens., 2021

2020
Detailed point cloud data on stem size and shape of Scots pine trees.
Dataset, March, 2020

Point cloud data from terrestrial laser scanning for stem volume modelling of Scots pine trees.
Dataset, March, 2020

Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning.
Remote. Sens., 2020

Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands.
Remote. Sens., 2020

Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests.
Remote. Sens., 2020

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands.
ISPRS Int. J. Geo Inf., 2020

2019
Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests.
Remote. Sens., 2019

Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data.
Remote. Sens., 2019

Assessing spectral measures of post-harvest forest recovery with field plot data.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging.
Remote. Sens., 2018

2017
Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning.
Remote. Sens., 2017

Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners.
Remote. Sens., 2017

2015
Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes.
Remote. Sens., 2015

Automation Aspects for the Georeferencing of Photogrammetric Aerial Image Archives in Forested Scenes.
Remote. Sens., 2015

Investigating Bi-Temporal Hyperspectral Lidar Measurements from Declined Trees - Experiences from Laboratory Test.
Remote. Sens., 2015

Intelligent Open Data 3D Maps in a Collaborative Virtual World.
ISPRS Int. J. Geo Inf., 2015

Deriving canopy metrics of urban trees from airborne laser scanning data.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Allocating tree crown pruning with ALS-data - A case study in the city of Helsinki.
Proceedings of the Joint Urban Remote Sensing Event, 2015

2014
TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in Imputation of Forest Aboveground Biomass and Stem Volume.
IEEE Trans. Geosci. Remote. Sens., 2014

Multisource Single-Tree Inventory in the Prediction of Tree Quality Variables and Logging Recoveries.
Remote. Sens., 2014

Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery.
Remote. Sens., 2014

2013
Area-Based Mapping of Defoliation of Scots Pine Stands Using Airborne Scanning LiDAR.
Remote. Sens., 2013

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning.
Remote. Sens., 2013

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data.
Remote. Sens., 2013

Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR.
Remote. Sens., 2013

Classification of Spruce and Pine Trees Using Active Hyperspectral LiDAR.
IEEE Geosci. Remote. Sens. Lett., 2013

2012
Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning.
IEEE Trans. Geosci. Remote. Sens., 2012

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning.
Remote. Sens., 2012

Advances in Forest Inventory Using Airborne Laser Scanning.
Remote. Sens., 2012

SAR radargrammetry and scanning LiDAR in predicting forest canopy height.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Effects of Individual Tree Detection Error Sources on Forest Management Planning Calculations.
Remote. Sens., 2011

The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees.
Proceedings of the Joint Urban Remote Sensing Event, 2011

2010
Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes.
Remote. Sens., 2010

Classification of Defoliated Trees Using Tree-Level Airborne Laser Scanning Data Combined with Aerial Images.
Remote. Sens., 2010

Comparing Accuracy of Airborne Laser Scanning and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables.
Remote. Sens., 2010

2009
Accuracy of High-Resolution Radar Images in the Estimation of Plot-Level Forest Variables.
Proceedings of the Advances in GIScience, 2009


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