0574223 - ÚVGZ 2024 RIV NL eng J - Journal Article
Hovi, A. - Schraik, D. - Kuusinen, N. - Fabiánek, Tomáš - Hanuš, Jan - Homolová, Lucie - Juola, J. - Lukeš, Petr - Rautiainen, M.
Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance.
Remote Sensing of Environment. Roč. 293, AUG (2023), č. článku 113610. ISSN 0034-4257. E-ISSN 1879-0704
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : understory * spectroscopy * radiative transfer * reflectance modeling * airborne laser scanning * sentinel-2 * prisma * hyperspectral
OECD category: Forestry
Impact factor: 13.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S003442572300161X?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0344567
Hovi, A. - Schraik, D. - Kuusinen, N. - Fabiánek, Tomáš - Hanuš, Jan - Homolová, Lucie - Juola, J. - Lukeš, Petr - Rautiainen, M.
Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance.
Remote Sensing of Environment. Roč. 293, AUG (2023), č. článku 113610. ISSN 0034-4257. E-ISSN 1879-0704
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : understory * spectroscopy * radiative transfer * reflectance modeling * airborne laser scanning * sentinel-2 * prisma * hyperspectral
OECD category: Forestry
Impact factor: 13.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S003442572300161X?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0344567