Identifying and Ranking Landfill Sites for Municipal Solid Waste Management: An Integrated Remote Sensing and GIS Approach

Disposal of municipal solid waste (MSW) is one the significant global issues that more evident in developing nations. One key methods for disposing MSW locating, assessing, and planning landfill sites. Faisalabad largest industrial cities Pakistan. It has many sustainability challenges problems, including management. This study uses as a case area humbly attempts to provide framework identifying ranking sites addressing concerns Faisalabad. method can be extended applied similar cities. The were identified using remote sensing (RS) geographic information system (GIS). Multiple datasets, normalized difference vegetation, water, built-up areas indices (NDVI, NDWI, NDBI) physical factors water bodies, roads, population influence site selection used identify, rank, select most suitable site. target was distributed into 9 Thiessen polygons ranked based on their favorability development expansion 70% favorable expanding sites, whereas 30% deemed unsuitable. Polygon 6, having smaller population, declared best region per rank mean standard deviation (SD) RS vector data. current provides reliable integrated mechanism GIS implemented expanded other countries. Accordingly, urban city management improved, managed with dexterity.