Multi-spatial temporal remote sensing and machine learning for mapping land use on peatlands
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Presented research on applying multi-spatial temporal remote sensing and machine learning approaches for mapping land use patterns on peatlands. The work demonstrates the integration of satellite imagery with advanced machine learning techniques to monitor and assess peatland ecosystems across different spatial and temporal scales.