Remote sensing indicators to assess riparian vegetation and river ecosystem health

Pace, Giorgio; Gutiérrez‐Cánovas, Cayetano; Henriques, Renato F.; Carvalho-Santos, Cláudia; Cássio, Fernanda; Pascoal, Cláudia

doi:10.1016/j.ecolind.2022.109519

Ecological Indicators

2022

DOI: 10.1016/j.ecolind.2022.109519

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Remote sensing indicators to assess riparian vegetation and river ecosystem health

Giorgio Pace

Cayetano Gutiérrez‐Cánovas²,

Renato F. Henriques³

et al.

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Cited by 13 publications

References 87 publications

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From pixels to riverscapes: How remote sensing and geospatial tools can prioritize riverscape restoration at multiple scales

Glassic,

McGwire,

Macfarlane

et al. 2024

WIREs Water

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Prioritizing restoration opportunities effectively across entire riverscape networks (i.e., riverine landscape including floodplain and stream channel networks) can be difficult when relying on in‐channel, reach‐scale monitoring data, or watershed‐level summaries that fail to capture riverscape heterogeneity and the information necessary to implement restoration actions. Leveraging remote sensing and geospatial tools to develop spatially continuous information across nested hierarchical scales may support increased understanding of local riverscape reaches in their broader network context. Using riparian (vegetation) and geomorphic (elevation) indicators to assess status of riverscape health, along with a measure of restoration capacity (valley bottom area), could be adapted to fit specific management goals related to riverscape restoration. Frameworks using remotely sensed vegetation and elevation data to prioritize restoration continuously across riverscapes at restoration‐relevant, reach‐scales may uphold the ecosystem services provided by riverscapes. By incorporating local knowledge and identifying caveats for using these datasets, continuous inferences can be applied at network scales (watershed to regional extent and reach‐scale resolution) to prioritize restoration over a wide variety of ecoregions.This article is categorized under: Water and Life > Conservation, Management, and Awareness Water and Life > Methods Water and Life > Stresses and Pressures on Ecosystems

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From pixels to riverscapes: How remote sensing and geospatial tools can prioritize riverscape restoration at multiple scales

Glassic,

McGwire,

Macfarlane

et al. 2024

WIREs Water

View full text Add to dashboard Cite

show abstract

An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation

Aqdam

Rezapour

Asadzadeh

et al. 2023

Computers and Electronics in Agriculture

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Evaluating the riparian forest quality index (QBR) in the Luchena River by integrating remote sensing, machine learning and GIS techniques

Segura-Méndez¹,

Pérez‐Sánchez²,

Senent‐Aparicio³

2023

Ecohydrology & Hydrobiology

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Remote sensing indicators to assess riparian vegetation and river ecosystem health

Cited by 13 publications

References 87 publications

From pixels to riverscapes: How remote sensing and geospatial tools can prioritize riverscape restoration at multiple scales

From pixels to riverscapes: How remote sensing and geospatial tools can prioritize riverscape restoration at multiple scales

An integrated approach for estimating soil health: Incorporating digital elevation models and remote sensing of vegetation

Evaluating the riparian forest quality index (QBR) in the Luchena River by integrating remote sensing, machine learning and GIS techniques

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