Article (Scientific journals)
Using remote sensing to characterize riparian vegetation: a review of available tools and perspectives for managers
Huylenbroeck, Léo; Laslier, Marianne; Dufour, Simon et al.
2020In Journal of Environmental Management, 267
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Keywords :
Riparian forest; Alluvial forest; Floodplain vegetation; Satellite; UAV; LiDAR
Abstract :
[en] Riparian vegetation is a central component of the hydrosystem. As such, it is often subject to management practices that aim to influence its ecological, hydraulic or hydrological functions. Remote sensing has the potential to improve knowledge and management of riparian vegetation by providing cost-effective and spatially continuous data over wide extents. The objectives of this review were twofold: to provide an overview of the use of remote sensing in riparian vegetation studies and to discuss the transferability of remote sensing tools from scientists to managers. We systematically reviewed the scientific literature (428 articles) to identify the objectives and remote sensing data used to characterize riparian vegetation. Overall, results highlight a strong relationship between the tools used, the features of riparian vegetation extracted and the mapping extent. Very high-resolution data are rarely used for rivers longer than than 100 km, especially when mapping species composition. Multi-temporality is central in remote sensing riparian studies, but authors use only aerial photographs and relatively coarse resolution satellite images for diachronic analyses. Some remote sensing approaches have reached an operational level and are now used for management purposes. Overall, new opportunities will arise with the increased availability of very high-resolution data in understudied or data-scarce regions, for large extents and as time series. To transfer remote sensing approaches to riparian managers, we suggest mutualizing achievements by producting open-access and robust tools. These tools will then have to be adapted to each specific project, in collaboration with managers.
Disciplines :
Environmental sciences & ecology
Earth sciences & physical geography
Author, co-author :
Huylenbroeck, Léo  ;  Université de Liège - ULiège > Département GxABT > Gestion des ressources forestières et des milieux naturels
Laslier, Marianne ;  INRAE centre de Lyon Grenoble Auvergne Rhône-Alpes
Dufour, Simon;  Université Rennes 2 > LETG
Georges, Blandine ;  Université de Liège - ULiège > Département GxABT > Gestion des ressources forestières et des milieux naturels
Lejeune, Philippe  ;  Université de Liège - ULiège > Département GxABT > Gestion des ressources forestières et des milieux naturels
Michez, Adrien  ;  Université de Liège - ULiège > Département de géographie > Département de géographie
 These authors have contributed equally to this work.
Language :
English
Title :
Using remote sensing to characterize riparian vegetation: a review of available tools and perspectives for managers
Publication date :
01 August 2020
Journal title :
Journal of Environmental Management
ISSN :
0301-4797
eISSN :
1095-8630
Publisher :
Elsevier
Volume :
267
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 04 June 2020

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