Using remote sensing to characterize riparian vegetation: A review of available tools and perspectives for managers

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...

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Published inJournal of environmental management Vol. 267; p. 110652
Main Authors Huylenbroeck, Leo, Laslier, Marianne, Dufour, Simon, Georges, Blandine, Lejeune, Philippe, Michez, Adrien
Format Journal Article Web Resource
LanguageEnglish
Published England Elsevier Ltd 01.08.2020
Elsevier
Subjects
Alluvial forest
cost effectiveness
Earth sciences & physical geography
Ecosystem
environmental management
Environmental Monitoring
Environmental sciences & ecology
Floodplain vegetation
Geography
Humanities and Social Sciences
hydrology
LiDAR
Life sciences
Physical, chemical, mathematical & earth Sciences
Physique, chimie, mathématiques & sciences de la terre
Remote Sensing Technology
Riparian forest
riparian vegetation
Rivers
Satellite
satellites
Sciences de la terre & géographie physique
Sciences de l’environnement & écologie
Sciences du vivant
species diversity
time series analysis
UAV
Satellite
Floodplain vegetation
UAV
Riparian forest
Alluvial forest
LiDAR
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Abstract 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 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. •Review shows diverse approaches and objectives for mapping riparian vegetation.•Scale of observation, remote sensing data and mapped features are strongly related.•Finer spatial and temporal resolution will renew large scale and diachronic analyses.•We discuss the challenges of conveying remote sensing tools to managers.•Open access tools and co-construction with managers foster technology transfer.
AbstractList 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 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.
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 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.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 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.
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.
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 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.
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 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. •Review shows diverse approaches and objectives for mapping riparian vegetation.•Scale of observation, remote sensing data and mapped features are strongly related.•Finer spatial and temporal resolution will renew large scale and diachronic analyses.•We discuss the challenges of conveying remote sensing tools to managers.•Open access tools and co-construction with managers foster technology transfer.
ArticleNumber 110652
Author Laslier, Marianne
Dufour, Simon
Lejeune, Philippe
Georges, Blandine
Huylenbroeck, Leo
Michez, Adrien
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  surname: Laslier
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  fullname: Dufour, Simon
  organization: Université Rennes 2 LETG Rennes, Place du Recteur Henri Le Moal 35043, Rennes cedex, France
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  givenname: Blandine
  surname: Georges
  fullname: Georges, Blandine
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  givenname: Philippe
  surname: Lejeune
  fullname: Lejeune, Philippe
  organization: ULiège, Gembloux Agro‐Bio Tech, TERRA Teaching and Research Centre (Forest is Life). 2, Passage des Déportés, 5030, Gembloux, Belgium
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  givenname: Adrien
  surname: Michez
  fullname: Michez, Adrien
  organization: ULiège, Gembloux Agro‐Bio Tech, TERRA Teaching and Research Centre (Forest is Life). 2, Passage des Déportés, 5030, Gembloux, Belgium
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Keywords Satellite
Floodplain vegetation
UAV
Riparian forest
Alluvial forest
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Snippet Riparian vegetation is a central component of the hydrosystem. As such, it is often subject to management practices that aim to influence its ecological,...
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SubjectTerms Alluvial forest
cost effectiveness
Earth sciences & physical geography
Ecosystem
environmental management
Environmental Monitoring
Environmental sciences & ecology
Floodplain vegetation
Geography
Humanities and Social Sciences
hydrology
LiDAR
Life sciences
Physical, chemical, mathematical & earth Sciences
Physique, chimie, mathématiques & sciences de la terre
Remote Sensing Technology
Riparian forest
riparian vegetation
Rivers
Satellite
satellites
Sciences de la terre & géographie physique
Sciences de l’environnement & écologie
Sciences du vivant
species diversity
time series analysis
UAV
Title Using remote sensing to characterize riparian vegetation: A review of available tools and perspectives for managers
URI https://dx.doi.org/10.1016/j.jenvman.2020.110652
https://www.ncbi.nlm.nih.gov/pubmed/32349959
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http://orbi.ulg.ac.be/handle/2268/247978
Volume 267
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