Hasil Pencarian - Tauri Arumäe

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  1. 1
    Estimation of canopy cover in dense mixed-species forests using airborne lidar data

    Estimation of canopy cover in dense mixed-species forests using airborne lidar data oleh Tauri Arumäe, Mait Lang

    Diterbitkan 2018-01-01
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  2. 2
    Thinning- and tree-growth-caused changes in canopy cover and stand height and their estimation using low-density bitemporal airborne lidar measurements – a case study in hemi-boreal forests

    Thinning- and tree-growth-caused changes in canopy cover and stand height and their estimation using low-density bitemporal airborne lidar measurements – a case study in hemi-borea... oleh Tauri Arumäe, Mait Lang, Diana Laarmann

    Diterbitkan 2020-01-01
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  3. 3
    Planning of Commercial Thinnings Using Machine Learning and Airborne Lidar Data

    Planning of Commercial Thinnings Using Machine Learning and Airborne Lidar Data oleh Tauri Arumäe, Mait Lang, Allan Sims, Diana Laarmann

    Diterbitkan 2022-01-01
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  4. 4
    Interferometric SAR Coherence Models for Characterization of Hemiboreal Forests Using TanDEM-X Data

    Interferometric SAR Coherence Models for Characterization of Hemiboreal Forests Using TanDEM-X Data oleh Aire Olesk, Jaan Praks, Oleg Antropov, Karlis Zalite, Tauri Arumäe, Kaupo Voormansik

    Diterbitkan 2016-08-01
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  5. 5
    SooSim, a landscape model for assessing mire habitat degradation and restoration

    SooSim, a landscape model for assessing mire habitat degradation and restoration oleh Asko Lõhmus, Raido Kont, Triin Kaasiku, Marko Kohv, Tauri Arumäe, Ants Kaasik

    Diterbitkan 2024-11-01
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  6. 6
    An Evaluation of the Effects of UAS Flight Parameters on Digital Aerial Photogrammetry Processing and Dense-Cloud Production Quality in a Scots Pine Forest

    An Evaluation of the Effects of UAS Flight Parameters on Digital Aerial Photogrammetry Processing and Dense-Cloud Production Quality in a Scots Pine Forest oleh Raul Sampaio de Lima, Mait Lang, Niall G. Burnside, Miguel Villoslada Peciña, Tauri Arumäe, Diana Laarmann, Raymond D. Ward, Ants Vain, Kalev Sepp

    Diterbitkan 2021-03-01
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