Welcome to my page

I am passionate about research that enhances our understanding of urban environments, particularly in managing the adverse effects of both anthropogenic and natural events, including rapid urbanization and unprecedented population growth. By leveraging the incredible technologies of remote sensing and machine learning, we aim to ensure sustainable urban development. My research focuses on:

• Thermal Remote Sensing
• Forest and vegetation remote sensing
• Coastal management
• Climate change studies
• Machine Learning and AI

Highlights

• July 21, 2024: New Certification Alert! for the completion of the "Certified Peer Reviewer Course" by Elsevia
• July 3, 2024: Thesis submitted to the department
• June 26, 2024: Received offer for renewal of Research Associate role from the Department of Land Surveying and Geoinformatics Hong Kong PolyU
• June 25, 2024: The second journal article from my PhD research Titled "Improved fusion model for generating hourly fine-scale land surface temperature data under all-weather condition" is available online (download link)
• June 13, 2024: The second journal article from my PhD research Titled "Improved fusion model for generating hourly fine-scale land surface temperature data under all-weather condition" was accepted by the International Journal of Applied Earth Observation and Geoinformation is available online
• March 30, 2023: June 1 2024, uploaded the repository for retrieving air temperature from Netatmo Citizen Weather Station (CWS) on GitHub
• April 22, 2024: Visitation to the Department of Environmental Science, Hong Kong University
• March 30, 2023: End of Exchange program at Queens University Canada and return to Hong Kong

Contact Info

Adeniran Ibrahim Ademola.
606N, Block Z, North Tower,
Department of Land Surveying and Geoinformatics,
Faculty of Construction and Environment,
Hong Kong Polytechnic University (PolyU),
Hung Hom, Kowloon, Hong Kong.

Email: ibrahim.adeniran@connect.polyu.hk