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Detecting Streamflow in Dryland Rivers Using CubeSats

Determining the flow regime of non‐perennial rivers is critical in hydrology. In this study, we developed a new approach using CubeSat imagery to detect streamflow presence using differences in surface reflectance for areas within and outside of a river reach. We calibrated the approach with streamf...

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Detalles Bibliográficos
Autores principales: Wang, Zhaocheng, Vivoni, Enrique R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540060/
https://www.ncbi.nlm.nih.gov/pubmed/36247514
http://dx.doi.org/10.1029/2022GL098729
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author Wang, Zhaocheng
Vivoni, Enrique R.
author_facet Wang, Zhaocheng
Vivoni, Enrique R.
author_sort Wang, Zhaocheng
collection PubMed
description Determining the flow regime of non‐perennial rivers is critical in hydrology. In this study, we developed a new approach using CubeSat imagery to detect streamflow presence using differences in surface reflectance for areas within and outside of a river reach. We calibrated the approach with streamflow records in the Hassayampa River of Arizona over 3 years (2019–2021), finding good agreement in the annual fractions of flowing days at stream gages (R (2) = 0.82, p < 0.0001). Subsequently, annual fractions of flowing days were derived at 90 m intervals along the Hassayampa River, finding that 12% of reaches were classified as intermittent, with the remaining as ephemeral. Using a Hovmöller diagram, streamflow presence was visualized in unprecedented spatiotemporal detail, allowing estimates of daily fraction of flowing channel and annual fractions of flowing days. This new tool opens avenues for detecting streamflow and studying hydrological and biogeochemical processes dependent on water presence in drylands.
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spelling pubmed-95400602022-10-14 Detecting Streamflow in Dryland Rivers Using CubeSats Wang, Zhaocheng Vivoni, Enrique R. Geophys Res Lett Research Letter Determining the flow regime of non‐perennial rivers is critical in hydrology. In this study, we developed a new approach using CubeSat imagery to detect streamflow presence using differences in surface reflectance for areas within and outside of a river reach. We calibrated the approach with streamflow records in the Hassayampa River of Arizona over 3 years (2019–2021), finding good agreement in the annual fractions of flowing days at stream gages (R (2) = 0.82, p < 0.0001). Subsequently, annual fractions of flowing days were derived at 90 m intervals along the Hassayampa River, finding that 12% of reaches were classified as intermittent, with the remaining as ephemeral. Using a Hovmöller diagram, streamflow presence was visualized in unprecedented spatiotemporal detail, allowing estimates of daily fraction of flowing channel and annual fractions of flowing days. This new tool opens avenues for detecting streamflow and studying hydrological and biogeochemical processes dependent on water presence in drylands. John Wiley and Sons Inc. 2022-08-04 2022-08-16 /pmc/articles/PMC9540060/ /pubmed/36247514 http://dx.doi.org/10.1029/2022GL098729 Text en © 2022. The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Letter
Wang, Zhaocheng
Vivoni, Enrique R.
Detecting Streamflow in Dryland Rivers Using CubeSats
title Detecting Streamflow in Dryland Rivers Using CubeSats
title_full Detecting Streamflow in Dryland Rivers Using CubeSats
title_fullStr Detecting Streamflow in Dryland Rivers Using CubeSats
title_full_unstemmed Detecting Streamflow in Dryland Rivers Using CubeSats
title_short Detecting Streamflow in Dryland Rivers Using CubeSats
title_sort detecting streamflow in dryland rivers using cubesats
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540060/
https://www.ncbi.nlm.nih.gov/pubmed/36247514
http://dx.doi.org/10.1029/2022GL098729
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