Article (Scientific journals)
Understanding spatio-temporal complexity of vegetation using drones, what could we improve?
Müllerová, Jana; Kent, Rafi; Brůna, Josef et al.
2024In Journal of Environmental Management, 373, p. 123656
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Keywords :
Drone Ecosystem Heterogeneity Optimal resolution Scale Spatial and temporal patterns survey efficiency UAS UAV Vegetation complexity
Disciplines :
Environmental sciences & ecology
Author, co-author :
Müllerová, Jana;  Faculty of Environment, Jan Evangelista Purkyně University in Ústí n. Labem, Ústí n. Labem, Czech Republic
Kent, Rafi;  Independent Researcher, Bahan, Israel
Brůna, Josef;  Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic
Bučas, Martynas;  Klaipeda University, Klaipeda, Lithuania
Estrany, Joan;  University of the Balearic Islands/Instituto de Agroecología y Economía del Agua (INAGEA), Spain
Manfreda, Salvatore;  University of Naples Federico II, Naples, Italy
Michez, Adrien  ;  Université de Liège - ULiège > Département GxABT > Echanges Eau - Sol - Plantes
Mokroš, Martin;  University College London, London, UK ; Technical University in Zvolen, Zvolen, Slovakia ; Czech University of Life Sciences Prague, Prague, Czech Republic
Tsiafouli, Maria;  Aristotle University of Thessaloniki, Thessaloniki, Greece
Gago, Xurxo;  University of the Balearic Islands/Instituto de Agroecología y Economía del Agua (INAGEA), Spain
Language :
English
Title :
Understanding spatio-temporal complexity of vegetation using drones, what could we improve?
Publication date :
10 December 2024
Journal title :
Journal of Environmental Management
ISSN :
0301-4797
eISSN :
1095-8630
Publisher :
Elsevier BV
Volume :
373
Pages :
123656
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 17 December 2024

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