Ms Sidrah Hafeez is a Research Associate at the Department of Land Surveying and Geo-informatics (LSGI), The Hong Kong Polytechnic University, Hong Kong. She is a member of the Remote Sensing Laboratory at the LSGI and working with Dr Man Sing Wong, Charles.
She has joined LSGI in 2016 on the Research Grant Council of Hong Kong Fellowship as a PhD student. She has done MS in Remotes Sensing and Geographic Information System and M.Sc in Space Science. During her PhD, she has been working on coastal water quality monitoring using multi-sensor data. Her primary research interests include ocean colour remote sensing, coastal and inland water quality, machine learning and spatial analysis.
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- Projects
- Augmented Teaching and Learning Advancement System
- An integrated knowledge-based Remote Sensing and GIS dynamic model for the urban thermal environment
- A UV-based Remote Sensing Technology For Sulphur Dioxide Detection And Monitoring From Ship Emissions
- A Practical Application of Integrated Micro-Environmental Monitoring System for Construction Sites
- Assessing the Impact of Land Use Morphology on Air Pollution and Human Mobility for COVID-19 Incidence
- Brownfield Classification
- Coastal Water Quality Monitoring in Hong Kong
- Characterization of Asian Dust Storms with Geostationary satellites MTSAT
- Development of AI-based algorithms for classification of tree species and retrieval of tree parameters using handheld laser scanning
- Development of Hyperspectral Library to Distinguish Urban Tree Species in Hong Kong
- Environmental adaptability of settlement
- Estimating Time-series of Anthropogenic Heat Flux at City Scale
- Establishment of Hong Kong AERONET Station
- Estimation of solar irradiation on the urban building rooftop in Hong Kong
- iBeacon Positioning
- Identification of Rock Outcrops Using Remote Sensing Techniques
- Impact of The Super Typhoon Manghkut on The Secondary Forest of Hong Kong
- Jockey Club Smart City Tree Management Project
- Land Use and Land Cover Mapping of Pearl River Delta region and Hong Kong
- LiDAR Technique Helps to Acquire Basic Tree Information
- Machine learning-based estimation of solar potential on three-dimensional urban envelopes
- MOOC Course: Introduction to Urban Geo-Informatics
- Modelling Woody Vegetation in Sudano-Sahe-lina Zone of Nigeria Using Remote Sensing
- Remote Sensing of Forest Succession in Hong Kong's Country Parks
- Remote Sensing of Secondary Vegetation Succession in Hong Kong's Country Parks
- Road Defect Detection Using Deep Learning Method
- Solar Energy Supply in Cloud-prone Areas of Hong Kong
- Tree Thermal Image
- 70 Years of Forest Succession in the Degraded Tropical Landscape of Hong Kong
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