Published June 24, 2025 | Version V1
Dataset Open

Geospatial Classification of River Meanders: A Machine Learning Framework Driven by Deep Learning and Geometric Properties

  • 1. ROR icon University of Alabama
  • 2. Muenster University
  • 3. ROR icon Kathmandu University

Contributors

Contact person:

  • 1. ROR icon University of Alabama
  • 2. ROR icon Kathmandu University
  • 3. EDMO icon Westfaelische Wilhelms, University of Muenster
  • 4. EDMO icon University Münster

Description

Different rivers meander classification based on geometric properties such as sinuosity, wavelength, length, amplitude, width and NMCI.

Files

MeanderClassification-main.zip

Files (20.9 MB)

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md5:9b6b73512b95a4dbbd955df2b6a7782c
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Additional details

Dates

Available
2025

Software

Repository URL
https://github.com/thapawan/MeanderClassification
Programming language
Python, Jupyter Notebook, JavaScript+ERB, JavaScript, HTML
Development Status
Active

References

  • Thapa P., Davis L., Amanambu A. (2025) Geospatial Classification of River Meanders: A Machine Learning Framework Driven by Deep Learning and Geometric Properties.