Background

Bangladesh’s densely populated landscape is profoundly influenced by its major rivers—the Ganges, Brahmaputra, and Meghna—that form one of the world's largest deltas. These rivers’ dynamic and morphologically active nature results in significant riverbank and coastal erosion, impacting communities, infrastructure, and ecosystems. Erosion, driven by both natural and human activities, leads to land loss, undermines infrastructure, and heightens flood risks. Despite mitigation efforts by the Bangladesh Water Development Board (BWDB), nationwide erosion forecasting remains limited.

BEM Tool

In response, a collaborative project between Bangladesh and the Netherlands is developing the Bangladesh Erosion Monitor (BEM), a tool using satellite imagery to monitor erosion across the country. This initiative, led by Bangladesh's Institute of Water Modelling (IWM) and the Netherlands' Deltares, focuses on equipping BWDB with a data-driven tool for erosion assessment. It emphasizes both technological innovation and capacity building, aiming to enhance risk management in the Ganges-Brahmaputra-Meghna delta region.

MAIN CHARACTERISTICS

  • Developed on the Google Earth Engine platform, offering an advanced yet user-friendly tool.

  • Validated against riverbank field survey data, proving effective in identifying erosion-prone areas and supporting policy development for managing riverbank erosion and flood hazard across Bangladesh.
  • It uses the Landsat-derived Global Surface Water Dataset (GSWD), enabling a comprehensive analysis of river morphology changes across the country from 1984 to 2023.

KEY FUNCTIONALITIES

Historical Erosion Monitoring

The BEM analyses Landsat imagery from 1988 to 2023, enabling users to generate maps that illustrate historical trends in erosion and sediment deposition.

Economic Impact Assessment

The BEM evaluates the economic impact of historical erosion within specified administrative boundaries by integrating ESA WorldCover data with local land value estimates.

Erosion Prediction

The BEM predicts short-term erosion susceptibility by analyzing historical riverbank line data, delivering estimates for every 200-meter segment of the riverbank.

Flood Inundation Mapping

In the event of embankment breaches, the BEM generates flood inundation maps and assesses flood risk by integrating modelled water levels with elevation data.

Action on the Ground

Workshops

A series of workshops have been carried out to inform the community about the tool and to collect feedback regarding the community’s take on river erosion issues. These have highlighted the need for proper planning and timely response regarding riverbank erosion.

Field Validation

Field validation visits were carried out by the joint team of IWM and Deltares in May and June 2023, and March 2024. The team visited different erosion-prone areas where they completed visual inspections and questionnaires for local residents on erosion impacts and community responses. The BEM tool effectively identified areas of erosion and sedimentation, confirming its utility. However, discrepancies were noted in areas where recent BWDB armouring projects had altered the landscape.

Capacity Building

Transfer of knowledge is one of the main objectives of the project. A series of training sessions have been held in Bangladesh and The Netherlands focusing on the use and development of the BEM. Some of the technical people involved in the training include officials from the BWDB Planning, Design, and Flood Forecasting Warnging Center; officials from the BWDB Maradipur field office; and IWM staff.

TESTIMONIES OF COMMUNITY MEMBERS

Conclusions and Future Developments

The BEM represents a notable advancement in erosion monitoring at a national scale, providing critical insights to support decision-making across applications from infrastructure planning to emergency response. As the project develops, the BEM is expected to contribute to environmental science, risk management, and policy formulation.
Currently optimized for major rivers, the BEM’s 30-meter resolution presents limitations for monitoring smaller rivers. Future enhancements include refining the algorithm with updated Landsat imagery and integrating higher resolution data from Copernicus Sentinel-1 and -2 to increase resolution in smaller watercourses. Additionally, plans to incorporate factors such as soil properties and flow rates aim to improve the accuracy of the erosion prediction module.

OUR PARTNERS