Ecohydrological metrics derived from multispectral images to characterize surface water in an intermittent river
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Date
2023-02
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
Accurately describing the hydrology of intermittent rivers is a critical step in improving our understanding and management of freshwater ecosystems. Traditional approaches such as using gauged discharge data provide little information once flow ceases and no insight into the location, morphology, or persistence of river pools. However, multispectral images can be used to describe surface water, characterize hydrology, and provide insight into ecological functioning. A multispectral approach is highly cost-effective and well suited to remote intermittent rivers with little or no gauging infrastructure. Here, we develop an algorithm to extract hydrological attributes (i.e., pool area, length, perimeter, and mean width) from multispectral imagery (Sentinel-2) and use these attributes to create a suite of ecologically relevant hydrological metrics. We describe changes in attributes and metrics in a large lowland intermittent river as it transitions from wet to dry over a four-year period. We also describe temporal changes in attributes and metrics among five river sections with contrasting hydrological persistence and fragmentation. Our algorithm successfully identified surface water in the main channel and the adjacent floodplain, the centerline of pools, and their upstream and downstream ends. Metrics proved effective at describing seasonal patterns in hydrology; revealing how the size, complexity, and elongation of surface water features (e.g., pools) decreased as the study river transitioned from wet to dry and how fragmentation increased. Metrics also successfully differentiated the river sections with varied hydrological persistence. Ecohydrological metrics derived from multispectral imagery have the potential to provide meaningful insights into riverine morphology, resilience, and ecological functioning. Our spatial approach represents a significant advancement in the ability to characterize and manage intermittent rivers, which are increasingly threatened by water resource development and a drying climate. © 2023 The Authors. - Open Access CC-BY
Description
Keywords
Surface waters, Rivers, Hydrology, Fresh water, Ecosystems, Algorithms, Climates
Citation
Tayer, T. C., Beesley, L. S., Douglas, M. M., Bourke, S. A., Callow, J. N., Meredith, K., & McFarlane, D. (2023). Ecohydrological metrics derived from multispectral images to characterize surface water in an intermittent river. Journal of Hydrology, 617, 129087. doi:10.1016/j.jhydrol.2023.129087