Spatial characterisation of vegetation diversity in groundwater-dependent ecosystems using in-situ and sentinel-2 msi satellite data
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Groundwater-Dependent Ecosystems (GDEs) are under threat from groundwater overabstraction,
which significantly impacts their conservation and sustainable management. Although
the socio-economic significance of GDEs is understood, their ecosystem services and ecological
significance (e.g., biodiversity hotspots) in arid environments remains understudied. Therefore,
under the United Nations Sustainable Development Goal (SDG) 15, characterizing or identifying
biodiversity hotspots in GDEs improves their management and conservation. In this study, we
present the first attempt towards the spatial characterization of vegetation diversity in GDEs within
the Khakea-Bray Transboundary Aquifer. Following the Spectral Variation Hypothesis (SVH), we
used multispectral remotely sensed data (i.e., Sentinel-2 MSI) to characterize the vegetation diversity.
Description
Keywords
Groundwater-Dependent Ecosystems (GDEs), Biodiversity, Vegetation diversity, Sustainable Development Goal, Transboundary groundwater, Water quality
Citation
Mpakairi, K. S. et al. (2022). Spatial characterisation of vegetation diversity in groundwater-dependent ecosystems using in-situ and sentinel-2 msi satellite data. Remote Sensing, 14(13), 2995. https://doi.org/10.3390/rs14132995