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Xây dựng bản đồ vị trí bãi rác, bãi chôn lấp, đánh giá nguy cơ thất thoát rác thải nhựa thông qua dữ liệu ảnh vệ tinh có độ phân giải cao từ chương trình Copernicus
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Vietnamese researchers used satellite imagery from the Copernicus program to map open landfill sites near waterways and assess their potential to leak plastic waste into water bodies. The analysis found 198 at-risk sites, highlighting how unmanaged land-based plastic waste drives aquatic microplastic contamination.
In 2022, the Vietnam Institute of Seas and Islands (VISI), WWF-Vietnam, and Global Plastic Watch (GPW) used (freely) available high-resolution data from the Copernicus program and other sources to locate open landfills in a defined vicinity to a water body to assess their potential leakage risk of plastic waste in Vietnam.The results showed 198 landfill sites with data on total area, population, drainage direction, distance to a waterway, nearest water type, landform, slope, elevation, upstream drainage area, fine earth density, soil clay content, and soil sand content.Actual data from nine provinces were collected using an official document to the Department of Natural Resources and Environment in Ha Tinh, Quang Binh, Thua Thiên Hue, Da Nang, Quang Nam, Phu Yen, Con Dao (BRVT), Long An, and Kien Giang.Research verified 17 landfill sites with the highest
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Researchers developed a machine learning classifier using free Copernicus satellite data to detect plastic waste — including greenhouses, tyres, and waste sites — in both aquatic and terrestrial environments, achieving high accuracy and enabling low-cost large-scale plastic pollution mapping.
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Researchers characterized the abundance, types, and distribution of microplastics in sediments of Vietnam's three major rivers, contextualizing findings within Vietnam's status as one of the world's top plastic waste-polluting countries with approximately 3.1 million metric tons of mismanaged plastic waste annually.
Detection of Waste Plastics in the Environment: Application of Copernicus Earth Observation data
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Researchers used free Copernicus Earth observation satellite data and machine learning to detect waste plastic in marine and terrestrial environments at a large scale. The classifier was trained on Sentinel-1 and Sentinel-2 data and performed well for detecting larger plastic accumulations. Satellite-based detection could enable continuous, wide-area monitoring of plastic pollution at a fraction of the cost of ground surveys.
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An urban drainage channel in Da Nang, Vietnam receiving domestic wastewater and landfill leachate was identified as a microplastic hotspot, with high concentrations of diverse plastic types reflecting both household and industrial sources. The study highlights drainage infrastructure in rapidly developing Asian cities as significant conduits for microplastic transport to coastal waters.
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