Remote Sensing and Machine Learning for Sewage Site Selection

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This study presents an integrated approach to wastewater management in urban environments, focusing on Pune city as a case study. Leveraging geospatial planning, the research employs GIS-AHP hybrid methods to address challenges posed by rapid urban growth and suboptimal sewage systems. The methodology involves collecting topographical and soil data, creating GIS-based thematic layers, and integrating them into weighted decision models. Advanced techniques like Random Forest offer spatial...