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Open AccessFeature PaperArticle

Phenology-Based Mapping of an Alien Invasive Species Using Time Series of Multispectral Satellite Data: A Case-Study with Glossy Buckthorn in Québec, Canada

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Département de géographie, Université de Montréal, 1375 Avenue Thérèse-Lavoie-Roux, Montréal, QC H3C 0B3, Canada
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Centre d’étude de la forêt, Université Laval, 2405 Rue de la Terrasse, Pavillon Abitibi-Price, QC G1V 0A6, Canada
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Ministère de la Forêt, de la Faune et des Parcs du Québec, Direction de la recherche forestière, 2700 rue, Einstein, QC G1P 3W8, Canada
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Canadian Wood Fibre Centre, Natural Resources Canada, 1055 du P.E.P.S., P.O. Box 10380, Stn. Sainte-Foy, QC G1V 4C7, Canada
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Ministère des Forêts, de la Faune et des Parcs du Québec, Direction de la protection des forêts, 5700 4e avenue, Ouest, QC G1H 6R1, Canada
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Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(6), 922; https://doi.org/10.3390/rs12060922
Received: 3 February 2020 / Revised: 9 March 2020 / Accepted: 10 March 2020 / Published: 13 March 2020
(This article belongs to the Section Forest Remote Sensing)
Glossy buckthorn (Frangula alnus Mill.) is an alien species in Canada that is invading many forested areas. Glossy buckthorn has impacts on the biodiversity and productivity of invaded forests. Currently, we do not know much about the species’ ecology and no thorough study of its distribution in temperate forests has been performed yet. As is often the case with invasive plant species, the phenology of glossy buckthorn differs from that of other indigenous plant species found in invaded communities. In the forests of eastern Canada, the main phenological difference is a delay in the shedding of glossy buckthorn leaves, which occurs later in the fall than for other indigenous tree species found in that region. Therefore, our objective was to use that phenological characteristic to map the spatial distribution of glossy buckthorn over a portion of southern Québec, Canada, using remote sensing-based approaches. We achieved this by applying a linear temporal unmixing model to a time series of the normalized difference vegetation index (NDVI) derived from Landsat 8 Operational Land Imager (OLI) images to create a map of the probability of the occurrence of glossy buckthorn for the study area. The map resulting from the temporal unmixing model shows an agreement of 69% with field estimates of glossy buckthorn occurrence measured in 121 plots distributed over the study area. Glossy buckthorn mapping accuracy was limited by evergreen species and by the spectral and spatial resolution of the Landsat 8 OLI. View Full-Text
Keywords: remote sensing; phenology; glossy buckthorn; Rhamnus frangula L.; mixture models; occurrence mapping; Landsat 8 OLI remote sensing; phenology; glossy buckthorn; Rhamnus frangula L.; mixture models; occurrence mapping; Landsat 8 OLI
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MDPI and ACS Style

Labonté, J.; Drolet, G.; Sylvain, J.-D.; Thiffault, N.; Hébert, F.; Girard, F. Phenology-Based Mapping of an Alien Invasive Species Using Time Series of Multispectral Satellite Data: A Case-Study with Glossy Buckthorn in Québec, Canada. Remote Sens. 2020, 12, 922. https://doi.org/10.3390/rs12060922

AMA Style

Labonté J, Drolet G, Sylvain J-D, Thiffault N, Hébert F, Girard F. Phenology-Based Mapping of an Alien Invasive Species Using Time Series of Multispectral Satellite Data: A Case-Study with Glossy Buckthorn in Québec, Canada. Remote Sensing. 2020; 12(6):922. https://doi.org/10.3390/rs12060922

Chicago/Turabian Style

Labonté, Joanie; Drolet, Guillaume; Sylvain, Jean-Daniel; Thiffault, Nelson; Hébert, Francois; Girard, Francois. 2020. "Phenology-Based Mapping of an Alien Invasive Species Using Time Series of Multispectral Satellite Data: A Case-Study with Glossy Buckthorn in Québec, Canada" Remote Sens. 12, no. 6: 922. https://doi.org/10.3390/rs12060922

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