Publications (September 2018 - Present)

Journal Publications

• Adeniran, I., Otokiti, K. V., & Durojaye, P. (2020). Climate Change Impacts in a Rapidly Growing Urban Region–A Case Study of Ikeja, Lagos, Nigeria. International Journal of Environmental Planning and Management, 6(1), 13-23.
• Adeniran, I., & Otokiti, K. V. (2019). Characterization of climate change manifestation in Nigeria coastal community. Climate Change, 5(20), 235-244.
• Aduloju, O. T., Adeniran, I. A., Adedoyin, J. Urban violence and crime: a review of literature. The Just City: Poverty, Deprivation and Alleviation Strategies 332 – 357.
• Adeniran, I. A., Zhu, R., & Wong, M. S. Cross-Comparison between Sun-Synchronized and Geostationary Satellite-Derived Land Surface Temperature: A case study in Hong Kong. Remote Sensing 2022, 14(18), 4444.
• Adeniran, I. A., Nazeer, M., Wong, M. S., Zhu, R., Yang, J. (2023). Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition. International Journal of Applied Earth Observation and Geoinformation, XX, (Resubmitted).
• Adeniran, I. A., Nazeer, M., & Wong, M. S.. (202X). Advanced Federated Learning Neural Network (FL_NN) Framework for predicting Diurnal and Spatially continuous near surface air temperature from Optimized Land Surface Temperature Data: Case Study of Hong Kong. Urban Climate, XX, (under review).
• Adeniran, I. A., Nazeer, M., Wong, M. S., & Sanan, U. (202X). Ensemble Model Framework for Global and City Scale Air Temperature Prediction Using Satellite-Derived Surface Temperature and Auxiliary Data. Sustainable Cities and Society, XX, (under review).

Conference Papers (Abstract-Reviewed)

• Adeniran, I., and Wong, M. S. Practical Guidelines for Optimal Land Surface Temperature Data Fusion: A Case Study in Wuhan City. Proceedings of SPIE Sensors + Imaging 2023, Amsterdam, Netherlands. Sept. 03-06, 2023.
• Adeniran, I., and Wong, M. S. An Improved Machine Learning Model for predicting Diurnal and Spatially continuous Canopy layer temperature from Optimized Land Surface Temperature: Case Study of Hong Kong. Proceedings of AGU Fall meeting, San Francisco, CA. Dec. 11-15, 2023.