Ville Kankare

Kärhä, Kalle; Kaartinen, Harri; Backas, Joni; Honkanen, Heli; Hyyppä, Juha; Hyyti, Heikki; Kankare, Ville; Kinnunen, Valtteri; Kukko, Antero; Kymäläinen, Heli; Laitinen, Jukka; Evgeny Lopatin; Pohjala, Johannes; Uro, Tiina; Vähä-Konka, Ville; Väätäinen, Kari

(D4 Julkaistu kehittämis- tai tutkimusraportti tai -selvitys )

Remote Sensing of Forests from LiDAR and Radar (2025)

Hyyppä, Juha; Yu, Xiaowei; Karjalainen, Mika; Liang, Xinlian; Jaakkola, Anttoni; Wulder, Mike; Hollaus, Markus; White, Joanne C.; Vastaranta, Mikko; Pyörälä, Jiri; Yrttimaa, Tuomas; Saarinen, Ninni; Taher, Josef; Virtanen, Juho-Pekka; Matikainen, Leena; Wang, Yunsheng; Puttonen, Eetu; Campos, Mariana; Hyyppä, Matti; Karila, Kirsi; Kaartinen, Harri; Vaaja, Matti; Kankare, Ville; Kukko, Antero; Holopainen, Markus; Hyyppä, Hannu; Katoh, Masato; Hyyppä, Eric

(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa)

Assessing the consistency of low vegetation characteristics estimated using harvester, handheld, and drone light detection and ranging (LiDAR) systems (2025)

Silva Fennica

Kafle, Binod; Kankare, Ville; Kaartinen, Harri; Väätäinen, Kari; Hyyti, Heikki; Faitli, Tamas; Hyyppä, Juha; Kukko, Antero; Kärhä, Kalle

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Ville

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Assessing the capabilities of the high-density green wavelength LiDAR point cloud and multibeam sonar data to quantify riverbed topography (2025)

Combined effects of weather extremes and land use on long-term nutrient trends in Aurajoki river basin, South-West Finland (2025)

An integrated approach combining bi-temporal airborne laser scanning and X-ray microdensitometry in assessing wood properties (2025)

Assessing forest structural complexity: insights from alternative laser scanning approaches (2025)

Effects of a mobile LiDAR-based thinning density assistant (TDA) system on harvester operator performance (2025)

Laser scanning of northern river transition zone characteristics – A review (2025)

The combined impacts of land-use and climate changes on nutrient loads in river systems (2025)

Metsäkonetiedon ja -sensoreiden Tiekartta 2035 -visio: IlmoStar-hankkeen tulevaisuusraportti (2025)

Remote Sensing of Forests from LiDAR and Radar (2025)

Assessing the consistency of low vegetation characteristics estimated using harvester, handheld, and drone light detection and ranging (LiDAR) systems (2025)