Deriving transmission losses in ephemeral rivers using satellite imagery and machine learning

Abstract m 3 s - 1 km - 1 during most of the 1-year study period. However, shortly after a flood peak the losses could reach up to 1.5 m 3 s - 1 km - 1. These results enabled us to improve our understanding of the Selwyn River groundwater–surface water interactions and provide valuable data to support water management. We argue that our framework can easily be adapted to other ephemeral rivers and to longer time series.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Deriving transmission losses in ephemeral rivers using satellite imagery and machine learning ; volume:27 ; number:3 ; year:2023 ; pages:703-722 ; extent:20 ; Hydrology and earth system sciences ; 27, Heft 3 (2023), 703-722 (gesamt 20)

Contributors, Places and Time

• Creator: Di Ciacca, Antoine ; Wilson, Scott ; Kang, Jasmine ; Wöhling, Thomas

Further information

• DOI: 10.5194/hess-27-703-2023
• URN: urn:nbn:de:101:1-2023033007133465224352
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:57 AM CEST