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Random Forest–based Mapping of Riverine Plastic Pollution from SENTINEL-2 in Google Earth Engine: Lulc and Rainfall Controls in Kendal Regency, Indonesia
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Using Sentinel-2 satellite imagery and random forest machine learning in Google Earth Engine, researchers mapped riverine plastic pollution across Kendal Regency, Indonesia, finding that plastic accumulation is strongly linked to settlement and industrial land cover rather than rainfall patterns. This remote sensing approach offers a scalable method for monitoring plastic pollution hotspots and reveals that urbanization is the dominant spatial driver of riverine plastic contamination.
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