Using GIS in the Mapping and Analysis of Landscape and Vegetation Patterns Along Streams in Southern Ireland

Coroi, Mihai; Skeffington, Micheline Sheehy; Giller, Paul S.; Gormally, Michael J.; O’Donovan, Grace

doi:10.3318/bioe.2006.106.3.287

Cited by 2 publications

(3 citation statements)

References 26 publications

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“…Thus a detailed assessment of specificities and complementarities is still needed in terms of indicators available, method cost and results accuracy. Considering the amount of time spent calibrating and validating the results, remote sensing approach is notably valuable for large scale studies (Coroi et al, 2006;Johansen et al, 2007b).…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, both scientists and managers need appropriate tools to monitor riparian vegetation: the latter for a quantitative evaluation of funded action efficiencies and the former for a detailed understanding of vegetation pattern and dynamic follow-up of restoration. Site or reach scale projects have numerous tools to assess riparian vegetation response to restoration practices (Munné et al, 2003;Coroi, 2006;Brooks et al, 2009). However, large scale projects need specific tools, capable of generating continuous and detailed data set along several river segments or at network scale (Tormos et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Monitoring restored riparian vegetation: how can recent developments in remote sensing sciences help?

Dufour

Bernez

Betbeder

et al. 2013

Knowl. Managt. Aquatic Ecosyst.

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Key-words:remote sensing, riparian vegetation, UAV, LiDAR, radar Riparian vegetation restoration projects require appropriate tools to monitor actions efficiency. On a large scale remote sensing approaches can provide continuous and detailed data to describe riparian vegetation. In this paper, we illustrated recent developments and perspectives for riparian vegetation monitoring purposes through three examples of image sources: Light Detection And Ranging (LiDAR), radar and Unmanned Aerial Vehicule (UAV) images. We notably focused on the potential of such images to provide 3D information for narrow strips of riparian vegetation with high temporal resolution to allow fine monitoring following restoration program. LiDAR data allows canopy structure identification with a high accuracy level and automatic classifications for heterogeneous riparian corridors. Radar images allow a good identification of riparian vegetation but also of the structure and phenology of vegetation through time with an analysis of the Shannon entropy of the signal. The UAV system used here is a very flexible approach that can easily provide RGB mosaic but also a local digital surface model with very high spatial resolution. Lastly, we discuss the advantages and limitations of each approach from an applied perspective, in terms of flexibility, resolution and technicality. RÉSUMÉSuivre la restauration de la végétation riveraine : comment les développements récents de la télédétection peuvent-ils aider ? Mots-clés : télédétection, végétation riveraine, UAV, LiDAR, radarLe suivi des projets de restauration de la ripisylve nécessite des outils spécifiques. Dans cet article, nous illustrons et discutons comment les développements ré-cents dans le domaine de la télédétection permettent une description détaillée, continue et à large échelle des ripisylves restaurées à partir de trois exemples d'images : laser (LiDAR), radar et drone. Nous analysons notamment la capacité et le potentiel de ces images à fournir une information volumétrique de ripisylves étroites avec une forte résolution temporelle afin de permettre un suivi fin des actions de restauration. Les données LiDAR permettent une description de la structure de la canopée avec une très bonne précision ainsi qu'une classification automatique des ripisylves hétérogènes. Les images radar permettent une bonne identification non seulement de la végétation riveraine mais aussi de sa structure et de sa phénologie par analyse de l'entropie du signal. La technologie drone dé-ployée ici est très flexible et facile à mettre en oeuvre ; elle donne accès à des mosaïques de photographie à très haute résolution spatiale et à faible résolution

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring restored riparian vegetation: how can recent developments in remote sensing sciences help?

Dufour

Bernez

Betbeder

et al. 2013

Knowl. Managt. Aquatic Ecosyst.

View full text Add to dashboard Cite

show abstract

“…In such cases, it could be more efficient to choose a field mapping approach. For example, Coroi et al (2006) used a GPS field mapping technique for small streams and patches and considered it more efficient than image analysis since current image resolution was not high enough for them, and new image types were too expensive. Concerning vegetation structure, basic remote sensing approach usually provides coarse vegetation type categories, typically 5 to 10 categories (Muller, 1997).…”

Section: Limitations Of Image-based Approachesmentioning

confidence: 99%

Image Utilisation for the Study and Management of Riparian Vegetation: Overview and Applications

Dufour¹,

Muller²,

Straatsma³

et al. 2012

Fluvial Remote Sensing for Science and Management

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Using GIS in the Mapping and Analysis of Landscape and Vegetation Patterns Along Streams in Southern Ireland

Cited by 2 publications

References 26 publications

Monitoring restored riparian vegetation: how can recent developments in remote sensing sciences help?

Monitoring restored riparian vegetation: how can recent developments in remote sensing sciences help?

Image Utilisation for the Study and Management of Riparian Vegetation: Overview and Applications

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