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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2770

Title: Estimation of canopy attributes in beech forests using true colourdigital images from a small fixed-wing UAV
Authors: Chianucci, Francesco
Disperati, Leonardo
Guzzi, Donatella
Bianchini, Daniele
Nardino, Vanni
Lastri, Cinzia
Rindinella, Andrea
Corona, Piermaria
Keywords: Drone
Sensefly eBee
Leaf area index
Cover photography
Hemispherical photography
Fagus sylvatica
Issue Date: 2016
Publisher: Elsevier B.V.
Citation: Chianucci, F. et al. 2016. Estimation of canopy attributes in beech forests using true colourdigital images from a small fixed-wing UAV. "International Journal of Applied Earth Observation and Geoinformation" 47: 60–68
Abstract: Accurate estimates of forest canopy are essential for the characterization of forest ecosystems. Remotely-sensed techniques provide a unique way to obtain estimates over spatially extensive areas, but their application is limited by the spectral and temporal resolution available from these systems, which is often not suited to meet regional or local objectives. The use of unmanned aerial vehicles (UAV) as remote sensing platforms has recently gained increasing attention, but their applications i
Description: L'articolo è disponibile sul sito dell'editore www.elsevier.com/locate/jag
DOI: dx.doi.org/10.1016/j.jag.2015.12.005
URI: http://hdl.handle.net/2067/2770
ISSN: 0303-2434
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