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Analysis of Meandering River Morphodynamics Using Satellite Remote Sensing Data—An Application in the Lower Deduru Oya (River), Sri Lanka

Author

Listed:
  • Vindhya Basnayaka

    (Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka)

  • Jayanga T. Samarasinghe

    (Department of Earth Environmental and Resource Sciences, University of Texas, El Paso, TX 79968, USA)

  • Miyuru B. Gunathilake

    (Environment and Natural Resources, Norwegian Institute of Bioeconomy and Research, 1433 Ås, Norway
    Water, Energy and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, 8000 Oulu, Finland)

  • Nitin Muttil

    (Institute for Sustainable Industries & Liveable Cities, Victoria University, P.O. Box 14428, Melbourne, VIC 8001, Australia
    College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia)

  • Dileepa C. Hettiarachchi

    (Department of Irrigation, Office of Director of Irrigation, Airport Road, Anuradhapura 50000, Sri Lanka)

  • Amila Abeynayaka

    (Institute for Global Environmental Strategies (IGES), 2108-11 Kamiyamaguchi, Hayama 240-0115, Japan)

  • Upaka Rathnayake

    (Department of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka)

Abstract

River meandering and anabranching have become major problems in many large rivers that carry significant amounts of sediment worldwide. The morphodynamics of these rivers are complex due to the temporal variation of flows. However, the availability of remote sensing data and geographic information systems (GISs) provides the opportunity to analyze the morphological changes in river systems both quantitatively and qualitatively. The present study investigated the temporal changes in the river morphology of the Deduru Oya (river) in Sri Lanka, which is a meandering river. The study covered a period of 32 years (1989 to 2021), using Landsat satellite data and the QGIS platform. Cloud-free Landsat 5 and Landsat 8 satellite images were extracted and processed to extract the river mask. The centerline of the river was generated using the extracted river mask, with the support of semi-automated digitizing software (WebPlotDigitizer). Freely available QGIS was used to investigate the temporal variation of river migration. The results of the study demonstrated that, over the past three decades, both the bend curvatures and the river migration rates of the meandering bends have generally increased with time. In addition, it was found that a higher number of meandering bends could be observed in the lower (most downstream) and the middle parts of the selected river segment. The current analysis indicates that the Deduru Oya has undergone considerable changes in its curvature and migration rates.

Suggested Citation

  • Vindhya Basnayaka & Jayanga T. Samarasinghe & Miyuru B. Gunathilake & Nitin Muttil & Dileepa C. Hettiarachchi & Amila Abeynayaka & Upaka Rathnayake, 2022. "Analysis of Meandering River Morphodynamics Using Satellite Remote Sensing Data—An Application in the Lower Deduru Oya (River), Sri Lanka," Land, MDPI, vol. 11(7), pages 1-15, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1091-:d:864464
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    References listed on IDEAS

    as
    1. Somaratne, P. G. & Jinapala, K. & Perera, L. R. & Ariyaratna, B. R. & Bandaragoda, D. J. & Makin, I., 2003. "Developing effective institutions for water resources management: A case study in the Deduru Oya Basin, Sri Lanka," IWMI Working Papers H033677, International Water Management Institute.
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    Cited by:

    1. Vindhya Basnayaka & Jayanga T. Samarasinghe & Miyuru B. Gunathilake & Nitin Muttil & Upaka Rathnayake, 2022. "Planform Changes in the Lower Mahaweli River, Sri Lanka Using Landsat Satellite Data," Land, MDPI, vol. 11(10), pages 1-16, October.

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