Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/90708
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Type: Journal article
Title: Small drones for community-based forest monitoring: an assessment of their feasibility and potential in tropical areas
Author: Paneque-Gálvez, J.
McCall, M.
Napoletano, B.
Wich, S.
Koh, L.
Citation: Forests, 2014; 5(6):1481-1507
Publisher: MDPI
Issue Date: 2014
ISSN: 1999-4907
1999-4907
Statement of
Responsibility: 
Jaime Paneque-Gálvez, Michael K. McCall, Brian M. Napoletano, Serge A. Wich and Lian Pin Koh
Abstract: Data gathered through community-based forest monitoring (CBFM) programs may be as accurate as those gathered by professional scientists, but acquired at a much lower cost and capable of providing more detailed data about the occurrence, extent and drivers of forest loss, degradation and regrowth at the community scale. In addition, CBFM enables greater survey repeatability. Therefore, CBFM should be a fundamental component of national forest monitoring systems and programs to measure, report and verify (MRV) REDD+ activities. To contribute to the development of more effective approaches to CBFM, in this paper we assess: (1) the feasibility of using small, low-cost drones (i.e., remotely piloted aerial vehicles) in CBFM programs; (2) their potential advantages and disadvantages for communities, partner organizations and forest data end-users; and (3) to what extent their utilization, coupled with ground surveys and local ecological knowledge,would improve tropical forest monitoring. To do so, we reviewed the existing literature regarding environmental applications of drones, including forest monitoring, and drew on our own firsthand experience flying small drones to map and monitor tropical forests and training people to operate them. We believe that the utilization of small drones can enhance CBFM and that this approach is feasible in many locations throughout the tropics if some degree of external assistance and funding is provided to communities. We suggest that the use of small drones can help tropical communities to better manage and conserve their forests whilst benefiting partner organizations, governments and forest data end-users, particularly those engaged in forestry, biodiversity conservation and climate change mitigation projects such as REDD+.
Keywords: unmanned aircraft systems; unmanned aerial vehicle; remote sensing; tropical forests; community-based forest management; REDD+; MRV; national forest monitoring and safeguard information systems; deforestation and degradation; conservation
Rights: © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license
RMID: 0030012919
DOI: 10.3390/f5061481
Appears in Collections:Environment Institute publications

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