Search results
- 1.0576856 - ÚVGZ 2024 RIV NL eng J - Journal Article
Turubanova, S. - Potapov, P. - Hansen, M.C. - Li, X. - Tyukavina, A. - Pickens, A.H. - Hernandez-Serna, A. - Arranz, A. P. - Guerra-Hernandez, J. - Senf, C. - Hame, T. - Valbuena, R. - Eklundh, L. - Brovkina, Olga - Navrátilová, Barbora - Novotný, Jan - Harris, N. - Stolle, F.
Tree canopy extent and height change in Europe, 2001-2021, quantified using Landsat data archive.
Remote Sensing of Environment. Roč. 298, DEC (2023), č. článku 113797. ISSN 0034-4257. E-ISSN 1879-0704
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Europe * Forest * Tree canopy height * Landsat * Lidar * Forest change
OECD category: Remote sensing
Impact factor: 13.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0034425723003486?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0346252File Download Size Commentary Version Access 1-s2.0-S0034425723003486-main.pdf 4 8.4 MB Publisher’s postprint open-access - 2.0571798 - 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/11104/0342700File Download Size Commentary Version Access Lesnická práce.pdf 4 1.3 MB Publisher’s postprint require - 3.0560448 - 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 - 4.0547195 - ÚVGZ 2022 RIV GB eng J - Journal Article
Janoutová, Růžena - Homolová, Lucie - Novotný, Jan - Navrátilová, Barbora - Pikl, Miroslav - Malenovský, Z.
Detailed reconstruction of trees from terrestrial laser scans for remote sensing and radiative transfer modelling applications.
in silico Plants. Roč. 3, č. 2 (2021). ISSN 2517-5025. E-ISSN 2517-5025
R&D Projects: GA MŠMT(CZ) LM2018123; GA MŠMT(CZ) LTC20055
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : 3d tree reconstruction * influence of 3d forest structure * radiative transfer modelling * remote sensing
OECD category: Remote sensing
Method of publishing: Open access
https://academic.oup.com/insilicoplants/article/3/2/diab026/6358408
Permanent Link: http://hdl.handle.net/11104/0323503 - 5.0544858 - 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. 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 - 6.0523940 - ÚVGZ 2021 RIV CH eng J - Journal Article
Novotný, Jan - Navrátilová, Barbora - Janoutová, Růžena - Oulehle, Filip - Homolová, Lucie
Influence of site-specific conditions on estimation of forest above ground biomass from airborne laser scanning.
Forests. Roč. 11, č. 3 (2020), č. článku 268. E-ISSN 1999-4907
R&D Projects: GA ČR(CZ) GA17-05743S; GA MŠMT(CZ) LO1415
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : Allometric equation * Diameter at breast height * geomon * Individual tree detection * LiDAR * Norway spruce * Tree height
OECD category: Forestry
Impact factor: 2.634, year: 2020
Method of publishing: Open access
https://www.mdpi.com/1999-4907/11/3/268
Permanent Link: http://hdl.handle.net/11104/0308239