Municipal solid waste (MSW) has contributed significantly to flooding in the Lagos metropolis. This study examined the volume of MSW generated using per capita waste generation, projected population, quantity of MSW collected and deposited at six landfills sites from 2007 to 2013. One thousand and twenty-five copies of a structured questionnaire were administered to obtain data. The points where MSW blocked drainage channels in the metropolis were mapped. Multiple regression was used to establish the association between flooding and MSW at p<0.05. A total of 77,757,749.8 tons of MSW was generated, while 27.7% of it was collected and deposited at six landfill sites from 2007 to 2013. 11% of the municipal solid waste was collected by the Lagos State Waste Management Authority, 9.9% by private sector service providers, 29.2% by cart pushers and 49.7% dumped in canals/lagoons. Weekly collection of MSW was 58.5%. The sampled buildings were flooded at an average of nine times. Two hundred and twenty-two points where MSW blocked drainage channels were identified. The municipal solid waste indicators were statistically significant at F2, 1022 = 1034.2, R2 = 0.669. The study recommends measures to enhance the strengths and address the weaknesses of the current approaches towards the attainment of global best practices in the management of MSW and flooding in the Lagos metropolis. Key words: Flood, municipal solid waste, generation, collection, drainage channels.

Land surface temperature (LST) is an indispensable factor in studying urban climate. Ground-based measurements have been employed to quantify LST and Land Use/Land Cover Change (LULC). However, due to advancements in space technology and extensive spatial coverage, remote sensing techniques are increasingly being used to measure the intensity of LST and LULC dynamics, owing to the availability of enhanced satellite-based thermal observations of the Earth. The climatic conditions over a medium-sized city could be improved by understanding the interplay of LST and LULC. In this study, we estimated LST based on Landsat bands 4 and 5 for 1990 and 2000, band 6 for 2010, and band 10 for 2021 to reveal the interplay between the characteristics of land use and land cover and LST over Inisa and adjoining settlements. The study revealed that the maximum and minimum LST from 1990 to 2021 was 30.2°C for built-up areas and 21.1°C for farmland, respectively. Built-up areas increased from 2.5% in 1990 to 15.43% in 2021. Remotely sensed data can reveal the variability of LST and LULC to assess the climatic phenomenon. They can inform future planning to secure green and livable urban areas in this era of a changing climate.