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Journal article

Assessment of large-scale seasonal river morphological changes in Ayeyarwady River using optical remote sensing data

The web-based monitoring system simplifies the application of freely available remote sensing data over the large spatial domain to assess river planform changes to support stakeholders’ operational planning and prioritizing investments for sustainable Ayeyarwady River management.

Dhyey Bhatpuria, Thanapon Piman, Theara Tha / Published on 25 July 2022
Citation

Bhatpuria D., Matheswaran K., Piman T., Tha T., Towashiraporn P., Assessment of Large-Scale Seasonal River Morphological Changes in Ayeyarwady River Using Optical Remote Sensing Data. Remote Sensing. 2022; 14(14):3393. https://doi.org/10.3390/rs14143393

DOI

The main aim of this research was to develop a web-based, remote sensing data-driven, operational, and large-scale seasonal river morphology monitoring system for the Ayeyarwady river to support decision making.

The key contribution of this research stems from the application of well-proven remote sensing morphological monitoring method for the operational monitoring of 3382 km of the Ayeyarwady river and its tributaries encompassing the whole process of a stakeholder-centric co-development framework.

Leveraging long-term availability of Landsat satellite data, 30 years of historical maps (1988–2019) of erosion and accretion areas along with river channel were produced to support mapping of vulnerable hotspots. A user-centric simple web interface was developed to enable wide range of stakeholders to access and download the data including an option to estimate river channel width at a desired cross-section.

SEI authors

Thanapon Piman
Thanapon Piman

Senior Research Fellow

SEI Asia

Theara Tha

Research Associate

SEI Asia

Topics and subtopics
Water : Water resources
Related centres
SEI Asia

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