Throughout history, waste has consistently posed concerns for civilizations, serving as a reflection of societal progress through the accumulation of solid waste in our environment. However, the ever-growing global population, combined with the industrial revolution and increased consumerism, has led to an exponential surge in waste generation. Scientists and waste management professionals have diligently sought solutions to address this issue and establish sustainable, suitable, and efficient approaches to solid waste management. The implementation of integrated solid waste management (ISWM) is crucial for addressing the challenges posed by increasing waste generation and limited landfill space. Remote sensing (RS) and Geographic Information Systems (GIS) have emerged as powerful tools to support ISWM strategies through their diverse applications. This short review explores the novel applications of RS and GIS in ISWM and highlights their potential for enhancing waste management practices. RS techniques, such as satellite imagery and aerial photography, enable the accurate mapping and monitoring of waste generation, disposal sites, and recycling facilities. GIS facilitates spatial analysis and decision-making, allowing for optimized waste collection routes, landfill site selection, and the identification of suitable locations for waste-to-energy projects. Furthermore, RS and GIS provide valuable insights into waste composition analysis, landfill stability assessment, and environmental impact evaluation. This review underscores the importance of leveraging RS and GIS technologies to improve waste management practices and offers valuable recommendations for future research in this field.
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                    Diverse Applications of Remote Sensing and GIS in Implementing Integrated Solid Waste management: A Short Review
                
                                    
                
                
                    Published:
26 October 2023
by MDPI
in The 4th International Electronic Conference on Applied Sciences
session Energy, Environmental and Earth Science
                
                                    
                
                
                    Abstract: 
                                    
                        Keywords: Remote Sensing (RS); Geographic Information Systems (GIS); Waste Management;  Integrated Solid Waste Collection (ISWM); Optimization
                    
                
                
                
                
        
            