M
Mathieu Varin
Researcher at Université de Sherbrooke
Publications - 4
Citations - 50
Mathieu Varin is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Ecosystem services & Wetland. The author has an hindex of 2, co-authored 2 publications receiving 41 citations.
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Journal ArticleDOI
Meta-analysis for the transfer of economic benefits of ecosystem services provided by wetlands within two watersheds in Quebec, Canada
Jie He,Fanny Moffette,Richard A. Fournier,Jean-Pierre Revéret,Jérôme Théau,Jérôme Dupras,Jean-Philippe Boyer,Mathieu Varin +7 more
TL;DR: In this article, the authors proposed an approach that integrates spatial variables that have not been previously used, including type of wetland (complex or isolated) and land use (% of agricultural, urban, forest and water land cover), at a much finer geographical scale of 50 km2.
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Mapping ecosystem services provided by wetlands at multiple spatiotemporal scales: A case study in Quebec, Canada.
TL;DR: A spatiotemporal mapping of ESs combined with a visualization of their ecological, social, and economic components in a context of territorial management scenarios is allowed, which is reproducible, robust and can be replicated for other ESs in different territories.
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Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study
TL;DR: Invasive alien plant species (IAPS) have negative impacts on ecosystems, including the loss of biodiversity and the alteration of ecosystem functions, and the strategy for mitigating these impacts requires knowledge of these species' spatial distribution and level of infestation as mentioned in this paper .
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Mapping common and glossy buckthorns (Frangula alnus and Rhamnus cathartica) using multi-date satellite imagery WorldView-3, GeoEye-1 and SPOT-7
TL;DR: In this paper , three machine learning classifiers (Support Vector Machines, Random Forest and Extreme Gradient Boosting) were applied to WorldView-3, GeoEye-1 and SPOT-7 satellite imagery.