10 June 2014
RSRG's Urban Heat Island work to be exhibited at the Hong Kong Science Museum. The Grand Opening of the Exhibition has been scheduled at 4pm on 10th June.

Dr. Muhammad Bilal



Dr. Muhammad Bilal is a Postdoctoral Fellow (PDF) in the Department of Land Surveying and Geo–Informatics (LSGI), the Hong Kong Polytechnic University (PolyU), Hong Kong. Dr. Bilal completed his PhD in Photogrammetry and Remote Sensing from LSGI (PolyU) in 2014, and he is the first Pakistani who was selected for the Hong Kong PhD Fellowship Scheme 2010/2011. He has visited New Mexico State University (Las Cruces, New Mexico State–USA), and the University of Iowa (Iowa City, Iowa State– USA) from September 2011 to February 2012 for his PhD research as a Visiting Research Scholar (VRS). He obtained Master of Science (MS) degree in Meteorology (specialization in Remote Sensing and GIS) from the Department of Meteorology, COMSATS Institute of Information Technology (Islamabad–Pakistan) in 2010 and BSc (Hons) degree in Space Science (Remote Sensing/GIS) from Department of Space Science, University of the Punjab (Lahore–Pakistan) in 2008.

Dr. Bilal’s main research interests are in the application of satellite remote sensing for detailed monitoring of air quality (PM2.5 and PM10 Particles) at local and regional scales, high resolution satellite retrieval of Aerosol Optical Depth (AOD), remote sensing of Urban Heat Island (UHI) effect and

Snow Cover Area (SCA) estimation, and runoff estimation using Snowmelt Runoff Model (SRM). He has developed a new Simplified high resolution (500 m) MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces and it has been published in Remote Sensing of Environment (1st ranked referred journal of Remote Sensing). The SARA algorithm also has applied on high resolution satellites to retrieve high resolution AOD over complex surfaces of Hong Kong.

To view my CV, please click




Bilal, M., Nichol, J.E., Bleweiss, M.P., Dubois, D. A (2013). A simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use mixed surfaces. Remote Sensing of Environment 136: 135-145.