Mikko Vastaranta
Orcid: 0000-0001-6552-9122
According to our database1,
Mikko Vastaranta
authored at least 45 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on id.loc.gov
On csauthors.net:
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
Remote. Sens., 2021
2020
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
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
ISPRS Int. J. Geo Inf., 2015
Proceedings of the Joint Urban Remote Sensing Event, 2015
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
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
Remote. Sens., 2013
Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR.
Remote. Sens., 2013
IEEE Geosci. Remote. Sens. Lett., 2013
2012
IEEE Trans. Geosci. Remote. Sens., 2012
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning.
Remote. Sens., 2012
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
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