Since 2004, increasing attention has been focused on improving UAV applications in forestry. The technology related to the drones also allowed to prefigure new applications related to forest monitoring in real-time and timely, such as the monitoring of fire fronts during forest fires. Accurate information about forest composition, structure, volume, growth, and extent is essential for sustainable forest management. The aim of this paper is to compare the results obtained from Web of Science and Scopus databases in order to have a wide framework of the bibliography to explore between 2004 to date. The number of found publications in Scopus and Web of Science databases, underline that there is an increasing interesting on the investigated thematic; the comparison between the two databases show that WoS is more complete than Scopus. In conclusion, the results comparison, for each keywords combination in both databases, show that Web of Science is the best bibliographic database research for the explored thematic.

Forest and UAV: A bibliometric review

SISTU, LUISELLA;
2016

Abstract

Since 2004, increasing attention has been focused on improving UAV applications in forestry. The technology related to the drones also allowed to prefigure new applications related to forest monitoring in real-time and timely, such as the monitoring of fire fronts during forest fires. Accurate information about forest composition, structure, volume, growth, and extent is essential for sustainable forest management. The aim of this paper is to compare the results obtained from Web of Science and Scopus databases in order to have a wide framework of the bibliography to explore between 2004 to date. The number of found publications in Scopus and Web of Science databases, underline that there is an increasing interesting on the investigated thematic; the comparison between the two databases show that WoS is more complete than Scopus. In conclusion, the results comparison, for each keywords combination in both databases, show that Web of Science is the best bibliographic database research for the explored thematic.
2016
Gambella, Filippo; Sistu, Luisella; Piccirilli, Davide; Corposanto, Sergio; Caria, Maria; Arcangeletti, Ettore; Proto, Andrea Rosario; Chessa, Giovanni; Pazzona, Antonio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/580372
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