Abstract
Hydromorphology of rivers assessed through direct measurements is a time-consuming and relatively expensive procedure. The rapid development of unmanned aerial vehicles and machine learning (ML) technologies enables the usage of aerial images to determine hydromorphological units (HMUs) automatically. The application of various direct and indirect data sources and their combinations for the determination of river HMUs from aerial images was the main aim of this research. Aerial images with and without the Sobel filter, a layer of boulders identified using Yolov5x6, and a layer of direct measurements of depth and streamflow velocity were used as data sources. Three ML models were constructed for the cases if one, two, or three data sources were used. The ML models for HMU segmentation were constructed of MobileNetV2 pre-trained on ImageNet data for the feature extraction part and U-net for the segmentation part. The stratified K-fold cross-validation with five folds was carried out to evaluate the performance of the model due to the limited dataset. The analysis of the ML results showed that the measured metrics of segmentation using direct measurements were close to the ones of the model trained only on the combination of boulder layer and aerial images with the Sobel filter. The obtained results demonstrated the potential of the applied approach for the determination of HMUs only from the aerial images, and provided a basis for further development to increase its accuracy.
Funder
Santaka Valley Association
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference62 articles.
1. (2001). Council directive 2000/60/EC establishing a framework for Community action in the field of water policy. Off. J., L327, 1–73. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32000L0060.
2. Cesoniene, L., Dapkiene, M., and Punys, P. (2021). Assessment of the impact of small hydropower plants on the ecological status indicators ofwater bodies: A case study in lithuania. Water, 13.
3. Evaluating effects of dam operation on flow regimes and riverbed adaptation to those changes;Gierszewski;Sci. Total Environ.,2020
4. Hydroelectric Power Plants and River Morphodynamic Processes;Kiraga;J. Ecol. Eng.,2021
5. Towards a harmonized approach for hydromorphological assessment of rivers in Europe: A qualitative comparison of three survey methods;Raven;Aquat. Conserv. Mar. Freshw. Ecosyst.,2002
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