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  1. 1.
    0571798 - ÚVGZ 2024 RIV CZ cze J - Journal Article
    Novotný, Jan - Navrátilová, Barbora - Hanuš, Jan - Brovkina, Olga
    Hodnocení lesní nadzemní biomasy pomocí dat leteckého laserového skenování.
    [Estimation of forest aboveground biomass using airborne remote sensingliser scanning data.]
    Lesnická práce. Roč. 102, č. 3 (2023), s. 38-41. ISSN 0322-9254. E-ISSN 1212-8449
    R&D Projects: GA MZe(CZ) QK1910150
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : aerial laser scanning * biomass of forest cover * forestry * wood mass
    OECD category: Forestry
    Method of publishing: Limited access
    https://preview.digiport.digitania.eu/1784/546167/4
    Permanent Link: https://hdl.handle.net/11104/0342700
    FileDownloadSizeCommentaryVersionAccess
    Lesnická práce.pdf41.3 MBPublisher’s postprintrequire
     
     
  2. 2.
    0560448 - ÚVGZ 2023 RIV NL eng J - Journal Article
    Brovkina, Olga - Navrátilová, Barbora - Novotný, Jan - Albert, J. - Slezák, Lukáš - Cienciala, E.
    Influences of vegetation, model, and data parameters on forest aboveground biomass assessment using an area-based approach.
    Ecological Informatics. Roč. 70, SEP (2022), č. článku 101754. ISSN 1574-9541. E-ISSN 1878-0512
    R&D Projects: GA MZe(CZ) QK1910150
    Institutional support: RVO:86652079
    Keywords : Airborne laser scanning * Machine learning * Model score * Mixed forest * Central Europe
    OECD category: Environmental and geological engineering, geotechnics
    Impact factor: 5.1, year: 2022
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S1574954122002047?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0333376
     
     
  3. 3.
    0544858 - ÚVGZ 2022 RIV NL eng J - Journal Article
    Novotný, Jan - Navrátilová, Barbora - Albert, J. - Cienciala, E. - Fajmon, Lukáš - Brovkina, Olga
    Comparison of spruce and beech tree attributes from field data, airborne and terrestrial laser scanning using manual and automatic methods.
    Remote Sensing Applications. Roč. 23, AUG (2021), č. článku 100574. ISSN 2352-9385. E-ISSN 2352-9385
    R&D Projects: GA MZe(CZ) QK1910150
    Research Infrastructure: CzeCOS III - 90123
    Institutional support: RVO:86652079
    Keywords : Airborne LiDAR * Beech * Field-map * Spruce * Terrestrial laser scanning * Time efficiency * Tree-level forest inventory
    OECD category: Environmental sciences (social aspects to be 5.7)
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S2352938521001105?via%3Dihub
    Permanent Link: http://hdl.handle.net/11104/0322538
     
     


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