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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.
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.
Perspective / Rising awareness of climate-resilient sanitation could lead to unlocking knowledge on causes and effects, eventually unlocking access to climate financing.
Press release / The Mekong Environmental Resilience Week focuses on the needs and avenues for collaboration on water, energy, and climate issues in the Mekong region.
Other publication / This report aims to help policy and decision makers lead transformational change in sustainable wastewater management.
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