Ville Kankare
Adjunct Professor (docent) | D.Sc. (Agr. & For.)
viveka@utu.fi |
Remote Sensing | Geospatial Technologies | Laser scanning | Point cloud processing | Forest mensuration | Precision Forestry
Digital Waters Flagship (www.digitalwaters.fi)
I have always been eager to explore and observe nature, paired with a lifelong fascination for technology. This passion has shaped my research career over the last decade during which I have built a strong expertise and skill sets in forest mensuration and remote sensing with particular focus on close-range remote sensing technologies such as laser scanning (85+ peer-reviewed publ.).
I currently hold the position of University Research Fellow at the Digital Waters Flagship at University of Turku. My research ambitions focus on investigating how geo-, bio- and hydrodiversities interact in the northern riverine environments, shaping the ecosystem resilience and functionality while providing critical ecosystem services. I am specially interested in how climate change and land-use dynamics alter the interactions through time. My work integrates and develops cutting-edge geospatial technologies and artificial intelligence driven methodologies, creating novel ways to analyze the complex environmental datasets.
- Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees (2017)
- ISPRS Journal of Photogrammetry and Remote Sensing
- Reconstructing Stem Cross Section Shapes From Terrestrial Laser Scanning (2017)
- IEEE Geoscience and Remote Sensing Letters
- Evaluating the Performance of High-Altitude Aerial Image-Based Digital Surface Models in Detecting Individual Tree Crowns in Mature Boreal Forests (2016)
- Forests
- Geometrically explicit description of forest canopy based on 3D triangulations of airborne laser scanning data (2016)
- Remote Sensing of Environment
- Remote Sensing of Forests from Lidar and Radar (2016) LAND RESOURCES MONITORING, MODELING, AND MAPPING WITH REMOTE SENSING Hyyppä, Juha; Karjalainen, Mika; Liang, Xinlian; Jaakkola, Anttoni; Yu, Xiaowei; Wulder, Michael; Hollaus, Markus; White, Joanne C.; Vastaranta, Mikko; Karila, Kirsi; Kaartinen, Harri; Vaaja, Matti; Kankare, Ville; Kukko, Antero; Holopainen, Markus; Hyyppä, Hannu; Katoh, Masato
- Terrestrial laser scanning in forest inventories (2016)
- ISPRS Journal of Photogrammetry and Remote Sensing
- The effect of TLS point cloud sampling on tree detection and diameter measurement accuracy (2016)
- REMOTE SENSING LETTERS
- Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects (2015)
- Forests
- Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes (2015)
- Remote Sensing
- Diameter distribution estimation with laser scanning based multisource single tree inventory (2015)
- ISPRS Journal of Photogrammetry and Remote Sensing
- Monitoring downed coarse woody debris through appearance of canopy gaps in urban boreal forests with bitemporal ALS data (2015)
- Urban Forestry and Urban Greening
- Sparse Density, Leaf-Off Airborne Laser Scanning Data in Aboveground Biomass Component Prediction (2015)
- Forests
- Accuracy in estimation of timber assortments and stem distribution–A comparison of airborne and terrestrial laser scanning techniques (2014)
- ISPRS Journal of Photogrammetry and Remote Sensing
- Automated Stem Curve Measurement Using Terrestrial Laser Scanning (2014)
- IEEE Transactions on Geoscience and Remote Sensing
- Estimation of the Timber Quality of Scots Pine with Terrestrial Laser Scanning (2014)
- Forests
- Mapping of urban roadside trees–A case study in the tree register update process in Helsinki City (2014)
- Urban Forestry and Urban Greening
- Multisource Single-Tree Inventory in the Prediction of Tree Quality Variables and Logging Recoveries (2014)
- Remote Sensing
- Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models (2014)
- Silva Fennica
- Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery (2014)
- Remote Sensing
- TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in Imputation of Forest Aboveground Biomass and Stem Volume (2014)
- IEEE Transactions on Geoscience and Remote Sensing