S
Saad Saleem Bhatti
Researcher at Ulster University
Publications - 20
Citations - 674
Saad Saleem Bhatti is an academic researcher from Ulster University. The author has contributed to research in topics: Population & Urban climate. The author has an hindex of 10, co-authored 17 publications receiving 343 citations. Previous affiliations of Saad Saleem Bhatti include National University of Science and Technology & Asian Institute of Technology.
Papers
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Built-up area extraction using Landsat 8 OLI imagery
TL;DR: In this paper, a modified normalized difference built-up index (NDBI) has been used for mapping urban builtup areas using Landsat Thematic Mapper (TM) data.
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COVID-19 risk perception and coping mechanisms: Does gender make a difference?
Irfan Ahmad Rana,Saad Saleem Bhatti,Atif Bilal Aslam,Ali Jamshed,Junaid Ahmad,Ashfaq Ahmad Shah +5 more
TL;DR: The gender differences in COVID-19 risk perception and coping mechanisms were investigated in this paper, where a case study area of Pakistan was selected as a case case area and an online survey was conducted, and a sample of 389 respondents was collected.
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Simulating micro-scale thermal interactions in different building environments for mitigating urban heat islands.
Soumendu Chatterjee,Ansar Khan,Apurba Dinda,Sk Mithun,Rupali Khatun,Hashem Akbari,Hiroyuki Kusaka,Chandana Mitra,Saad Saleem Bhatti,Quang-Van Doan,Yupeng Wang +10 more
TL;DR: It was observed that vegetation played the most significant role in determining surface energy balance in the study area, compared to cool roofs and cool pavements, which can be attributed to the difference in magnitude of urbanness.
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Lahore, Pakistan – Urbanization challenges and opportunities
TL;DR: The built-up area almost doubled from 1999 to 2011 and is expected to grow at a similar or even higher rate, hence increasing pressure on the city administration in terms of managing infrastructure and squatter settlements as discussed by the authors.
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A multi-scale modeling approach for simulating urbanization in a metropolitan region
Saad Saleem Bhatti,Nitin K. Tripathi,Vilas Nitivattananon,Irfan Ahmad Rana,Chitrini Mozumder +4 more
TL;DR: In this article, a multilayer perceptron neural network was employed for modeling urbanization, and it was found that the sub-models developed for urban and peri-urban subsets returned better accuracies than those produced at the city district scale.