Pakistan

High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial framework
Flood-related disasters have far-reaching impacts on infrastructure and societal well-being. Though characterizing flood …
Mirza Waleed, Muhammad Sajjad
Cite DOI URL PDF
High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial framework
Advancing Flood Susceptibility Prediction: A Comprehensive Assessment of Machine Learning Algorithms for Disaster Risk Management
Flood susceptibility mapping (FSM) is crucial for effective flood risk management, particularly in flood-prone regions like Pakistan. …
Mirza Waleed, Muhammad Sajjad
Cite DOI URL PDF
Advancing Flood Susceptibility Prediction: A Comprehensive Assessment of Machine Learning Algorithms for Disaster Risk Management
Urbanization-led land cover change impacts terrestrial carbon storage capacity: A high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020)
While carbon sequestration is significant to achieve the net zero and plays an important role in climate change mitigation, …
Mirza Waleed, Muhammad Sajjad, Muhammad Shareef Shazil
Cite DOI URL PDF
Urbanization-led land cover change impacts terrestrial carbon storage capacity: A high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020)
Warming Cities in Pakistan: Evaluating Spatial–Temporal Dynamics of Urban Thermal Field Variance Index Under Rapid Urbanization
With ~57% of the world population living in cities, the global urban population is increasing at an alarming rate, which further …
Mirza Waleed, Muhammad Sajjad
Cite DOI URL PDF
Warming Cities in Pakistan: Evaluating Spatial–Temporal Dynamics of Urban Thermal Field Variance Index Under Rapid Urbanization