Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis

0547687 - BÚ 2022 RIV NL eng J - Journal Article
Müllerová, Jana - Gago, X. - Bučas, M. - Company, J. - Estrany, J. - Fortesa, E. - Manfreda, S. - Michez, A. - Mokroš, M. - Paulus, G. - Tiškus, E. - Tsiafouli, M.A. - Kent, R.
Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis.
Ecological Indicators. Roč. 131, November (2021), č. článku 108156. ISSN 1470-160X. E-ISSN 1872-7034
R&D Projects: GA MŠMT(CZ) LTC18007
Institutional support: RVO:67985939
Keywords : vegetation * remote sensing * drones
OECD category: Ecology
Impact factor: 6.263, year: 2021
Method of publishing: Open access
https://doi.org/10.1016/j.ecolind.2021.108156

We propose a general framework allowing to design UAS-based vegetation surveys according to its purpose and the component of ecosystem complexity addressed. We support the framework by detailed schemes as well as examples of best practices of UAS studies covering each of the vegetation properties (i.e. composition, structure, status and dynamics) and related applications.
Permanent Link: http://hdl.handle.net/11104/0324063