Remote sensing of american maple in alluvial forests: a case study in an island complex of the Loire valley (France)
Hilaire Martin (1) , Jean-Matthieu Monnet (2), Marie De Boisvilliers (3), Richard Chevalier (1), Marc Villar (4)
iForest - Biogeosciences and Forestry, Volume 13, Issue 5, Pages 409-416 (2020)
doi: https://doi.org/10.3832/ifor3237-013
Published: Sep 16, 2020 - Copyright © 2020 SISEF
Technical Reports
Abstract
Due to their particular topographic position between land and river, riparian forests are ecosystems rich in biodiversity. In France, along the Middle Loire (from Nevers to Angers), Black poplar (Populus nigra L.) forests are often in mixtures with the American maple (Acer negundo L.), introduced into the country in the 18th century. We tested the detectability of American maple by LiDAR and very high-resolution multispectral imagery on an island complex. We found that coupling the point cloud height standard deviation with a vegetation index in the red, green and blue spectrums discriminated American maple with a success rate of more than 90%.
Keywords
Acer negundo, American Maple, Box Elder, Populus nigra, Black Poplar, Airborne Laser Scanning, Remote Sensing, Exogenous Woody Species, Loire River
Authors’ Info
Authors’ address
Richard Chevalier
INRAE Val de Loire, Site de Nogent-sur-Vernisson, Domaine des Barres 45290 Nogent-sur-Vernisson (France)
Univ. Grenoble Alpes, INRAE, UR LESSEM, F-38402 St-Martin-d’Hères (France)
L’AVION JAUNE, 1 chemin du Fescau, 34980 Montferrier-sur-Lez (France)
INRAE Val de Loire, UMR 0588 INRA-ONF BioForA, 2163 Av. de la Pomme de Pin, CS 40001 Ardon, 45075 Orléans Cedex 2 (France)
Corresponding author
Paper Info
Citation
Martin H, Monnet J-M, De Boisvilliers M, Chevalier R, Villar M (2020). Remote sensing of american maple in alluvial forests: a case study in an island complex of the Loire valley (France). iForest 13: 409-416. - doi: 10.3832/ifor3237-013
Academic Editor
Matteo Garbarino
Paper history
Received: Sep 13, 2019
Accepted: Jul 08, 2020
First online: Sep 16, 2020
Publication Date: Oct 31, 2020
Publication Time: 2.33 months
Copyright Information
© SISEF - The Italian Society of Silviculture and Forest Ecology 2020
Open Access
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