Parisa Saadati

Dr. Parisa Saadati

School of Computing and Engineering, University of West London, London, City of London, UK
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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 August 2025 in Engineering Proceedings
Verified
Conference Paper
Open access
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TTTesfaye Temtime Tessema
Tesfaye Temtime Tessema
NANeda Azarmehr
Neda Azarmehr
Parisa SaadatiParisa Saadati
Parisa Saadati
DMDale Mortimer
Dale Mortimer
Fabio TostiFabio Tosti
Fabio Tosti
Urban green infrastructure plays a vital role in the sustainable development of cities. As urban areas expand, green spaces are increasingly affected. The pressure from new developments leads to a reduction in vegetation and raises new public health risks. Addressing this challenge requires effective planning, maintenance, and continuous monitoring. To enhance traditional approaches, remote sensing is becoming a vital tool for city-wide observations. Publicly available large-scale data, combined with machine learning models, can improve our understanding. We explore the potential of Sentinel-2 to classify and extract meaningful features from urban landscapes. Using advanced machine learning techniques, we aim to develop a robust and scalable framework for classifying urban environments. The proposed models will assist in monitoring changes in green spaces across diverse urban settings, enabling timely and informed decisions to foster sustainable urban growth.