Hydromorphological analysis of ephemeral rivers using remote sensing and machine learning

SPECIAL ISSUE ON GEOMORPHOLOGY

Authors

DOI:

https://doi.org/10.26754/ojs_geoph/geoph.20247611401

Keywords:

ephemeral streams, Remote Sensing, supervised classification, automatic segmentation

Abstract

Ephemeral rivers in the Mediterranean region account for 70% of the river network and this proportion is expected to increase due to climate change. The shortcomings initially existing in the Water Framework Directive, created in 2000 to characterise the environmental status of the river network, have been improved with the incorporation of specific hydrogeomorphological analyses for intermittent rivers. This paper proposes new methodologies to address the hydrogeomorphological characterisation of ephemeral rivers by means of supervised classification, automatic segmentation and data analysis. These methods have been applied in the basins of the Rambla de la Viuda and Rambla de Cervera, which have been affected by aggregate extraction from the 1970s until 2000. The results obtained demonstrate the potential of combining these methodologies to monitor and assist in river management.

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Published

2024-12-30

Issue

Section

Notas de investigación y reseñas

How to Cite

Rabanaque, M. P. (2024). Hydromorphological analysis of ephemeral rivers using remote sensing and machine learning: SPECIAL ISSUE ON GEOMORPHOLOGY. Geographicalia, 76, 149-162. https://doi.org/10.26754/ojs_geoph/geoph.20247611401