Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43337
Title: Influence of image pixel resolution on canopy cover estimation in poplar plantations from field, aerial and satellite optical imagery
Authors: Chianucci, Francesco
Puletti, Nicola
Grotti, Mirko
Bisaglia, Carlo
Giannetti, Francesca
Romano, Elio
Brambilla, Massimo
Mattioli, Walter
Cabassi, Giovanni
Bajocco, Sofia
Li, Linyuan
Chirici, Gherardo
Corona, Piermaria 
Tattoni, Clara
Journal: ANNALS OF SILVICULTURAL RESEARCH 
Issue Date: 2021
Abstract: 
Accurate estimates of canopy cover (CC) are central for a wide range of forestry studies. As direct measurements are impractical, indirect optical methods have often been used to estimate CC from the complement of gap fraction measurements obtained with restricted-view sensors. In this short note we evaluated the influence of the image pixel resolution (ground sampling distance; GSD) on CC estimation in poplar plantations obtained from field (cover photography; GSD < 1 cm), unmanned aerial (UAV; GSD <10 cm) and satellite (Sentinel-2; GSD = 10 m) imagery. The trial was conducted in poplar tree plantations in Northern Italy, with varying age and canopy cover. Results indicated that the coarser resolution available from satellite data is suitable to obtain estimates of canopy cover, as compared with field measurements obtained from cover photography; therefore, S2 is recommended for larger scale monitoring and routine assessment of canopy cover in poplar plantations. The higher resolution of UAV compared with Sentinel-2 allows finer assessment of canopy structure, which could also be used for calibrating metrics obtained from coarser-scale remote sensing products, avoiding the need of ground measurements.
URI: http://hdl.handle.net/2067/43337
ISSN: 2284-354X
DOI: 10.12899/ASR-2074
Rights: CC0 1.0 Universal
Appears in Collections:A1. Articolo in rivista

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