0572902 - ÚVGZ 2024 RIV GB eng J - Journal Article
Švik, Marian - Lukeš, Petr - Lhotáková, Z. - Neuwirthová, E. - Albrechtová, J. - Campbell, P. E. E. - Homolová, Lucie
Retrieving plant functional traits through time series analysis of satellite observations using machine learning methods.
International Journal of Remote Sensing. Roč. 44, č. 10 (2023), s. 3083-3105. ISSN 0143-1161. E-ISSN 1366-5901
R&D Projects: GA MŠMT(CZ) LTAUSA18154
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : chlorophyll * plant functional traits * Harmonized Landsat Sentinel-2 * machine learning * pigment content * water content * specific leaf area
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3, year: 2023 ; AIS: 0.666, rok: 2023
Method of publishing: Limited access
Result website:
https://www.tandfonline.com/doi/full/10.1080/01431161.2023.2216847?scroll=top&needAccess=true&role=tabDOI: https://doi.org/10.1080/01431161.2023.2216847
Permanent Link: https://hdl.handle.net/11104/0343544