Publication: Analysis of Meandering River Morphodynamics Using Satellite Remote Sensing Data—An Application in the Lower Deduru Oya (River), Sri Lanka
Type:
Article
Date
2022-07-16
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
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.
Description
Keywords
river meandering, river morphology, centerline migration, remote sensing, satellite images
Citation
Basnayaka, V.; Samarasinghe, J.T.; Gunathilake, M.B.; Muttil, N.; Hettiarachchi, D.C.; Abeynayaka, A.; Rathnayake, U. Analysis of Meandering River Morphodynamics Using Satellite Remote Sensing Data—An Application in the Lower Deduru Oya (River), Sri Lanka. Land 2022, 11, 1091. https://doi.org/10.3390/ land11071091
