Mikko Vastaranta mainly investigates Remote sensing, Forest inventory, Point cloud, Laser scanning and Tree. His Remote sensing study combines topics in areas such as Mean squared error, Diameter at breast height and Random forest. He has researched Forest inventory in several fields, including Descriptive statistics, Photogrammetry, Aboveground biomass, Vegetation and Lidar.
His study in Point cloud is interdisciplinary in nature, drawing from both Ecology and Algorithm. His research in Laser scanning intersects with topics in Sample, Field and Scale. His Tree research includes themes of Terrestrial laser scanning and Statistics, Spatial analysis, Plot.
Mikko Vastaranta mainly focuses on Remote sensing, Forest inventory, Lidar, Laser scanning and Tree. His Remote sensing study combines topics from a wide range of disciplines, such as Point cloud and Canopy, Tree canopy. His Point cloud research is multidisciplinary, incorporating elements of Scots pine, Terrestrial laser scanning, Mean squared error, Aboveground biomass and Biomass.
His Forest inventory research focuses on subjects like Basal area, which are linked to Standard deviation. His research in Lidar focuses on subjects like Vegetation, which are connected to Hyperspectral imaging. His study in the field of Tree inventory also crosses realms of Benchmarking.
Remote sensing, Scots pine, Taiga, Forest inventory and Point cloud are his primary areas of study. His Remote sensing study incorporates themes from Tree health, Canopy and Laser scanning. His Scots pine research includes elements of Forest management, Parametrization, Volume and Mean squared error.
His Forest inventory research includes themes of Tree and Basal area.
The Tree study combines topics in areas such as Sample and Statistics.
Point cloud and Pinus
His scientific interests lie mostly in Remote sensing, Forest inventory, Canopy, Lidar and Taiga. His studies deal with areas such as Picea abies, Climate change, Scots pine, Forestry and Laser scanning as well as Remote sensing. His work investigates the relationship between Forest inventory and topics such as Tree that intersect with problems in Soil science.
His Lidar research is multidisciplinary, incorporating perspectives in Tree health, Vegetation and Infestation. His Taiga research integrates issues from Point cloud, Statistics, Pairwise comparison, Sample and Sustainable forest management. His work carried out in the field of Point cloud brings together such families of science as Coarse woody debris, Basal area, Sample, Terrestrial laser scanning and Sample plot.
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Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen.
Remote Sensing (2013)
Terrestrial laser scanning in forest inventories
Xinlian Liang;Xinlian Liang;Ville Kankare;Ville Kankare;Juha Hyyppä;Juha Hyyppä;Yunsheng Wang;Yunsheng Wang.
Isprs Journal of Photogrammetry and Remote Sensing (2016)
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta.
Remote Sensing (2012)
Remote Sensing Technologies for Enhancing Forest Inventories: A Review
Joanne C. White;Nicholas C. Coops;Michael A. Wulder;Mikko Vastaranta.
Canadian Journal of Remote Sensing (2016)
Predicting individual tree attributes from airborne laser point clouds based on the random forests technique
Xiaowei Yu;Juha Hyyppä;Mikko Vastaranta;Markus Holopainen.
Isprs Journal of Photogrammetry and Remote Sensing (2011)
The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning
Joanne C. White;Michael A. Wulder;Mikko Vastaranta;Nicholas C. Coops.
A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach
Joanne C. White;Michael A. Wulder;Andrés Varhola;Mikko Vastaranta.
Forestry Chronicle (2013)
Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning
Xinlian Liang;P. Litkey;J. Hyyppa;H. Kaartinen.
IEEE Transactions on Geoscience and Remote Sensing (2012)
Individual tree biomass estimation using terrestrial laser scanning
Ville Kankare;Markus Holopainen;Mikko Vastaranta;Eetu Puttonen.
Isprs Journal of Photogrammetry and Remote Sensing (2013)
International benchmarking of terrestrial laser scanning approaches for forest inventories
Xinlian Liang;Juha Hyyppä;Harri Kaartinen;Harri Kaartinen;Matti Lehtomäki.
Isprs Journal of Photogrammetry and Remote Sensing (2018)
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