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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
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High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial framework
Land use dynamics and their impact on hydrology and water quality of a river catchment: a comprehensive analysis and future scenario
Land use changes profoundly affect hydrological processes and water quality at various scales, necessitating a comprehensive …
Shiferaw Natnael, Habte Lulit, Mirza Waleed
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Land use dynamics and their impact on hydrology and water quality of a river catchment: a comprehensive analysis and future scenario
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
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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
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Urbanization-led land cover change impacts terrestrial carbon storage capacity: A high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020)
On the emergence of geospatial cloud-based platforms for disaster risk management: A global scientometric review of google earth engine application
With the global upsurge in climatic extremes, disasters are causing more significant damages. While disaster risk management (DRM) is a …
Mirza Waleed, Muhammad Sajjad
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On the emergence of geospatial cloud-based platforms for disaster risk management: A global scientometric review of google earth engine application
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
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Warming Cities in Pakistan: Evaluating Spatial–Temporal Dynamics of Urban Thermal Field Variance Index Under Rapid Urbanization
Quantitative Evaluation of Soil Water and Wind Erosion Rates in Pakistan
Soil erosion triggered by water and wind pose a great threat to the sustainable development of Pakistan. In this study, a combination …
Xuyan Yang, Qinke Yang, Haonan Zhu, Lei Wang, Chunmei Wang, Guowei Pang, Chaozheng Du, Muhammad Mubeen, Mirza Waleed, Sajjad Hussain
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Quantitative Evaluation of Soil Water and Wind Erosion Rates in Pakistan
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Wetlands are crucial ecosystems as they enhance the quality of groundwater, protect from natural hazards, control erosion, and provide …
Mirza Waleed, Muhammad Sajjad, Muhammad Shareef Shazil, Maham Tariq, Md. Tauhidul Alam
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Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Has Pakistan learned from disasters over the decades? Dynamic resilience insights based on catastrophe progression and geo-information models
Since the last two decades, Pakistan has been often cited among the top ten countries most vulnerable to climate change and disasters, …
Muhammad Sajjad, Zulfiqar Ali, Mirza Waleed
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Has Pakistan learned from disasters over the decades? Dynamic resilience insights based on catastrophe progression and geo-information models
Leveraging machine learning and remote sensing to monitor long-term spatial-temporal wetland changes: Towards a national RAMSAR inventory in Pakistan
In Pakistan, wetlands are of primary focus as they withstand the effects of floods, recharge groundwater, and provide several services …
Ansa Shafi, Shengbo Chen, Mirza Waleed, Muhammad Sajjad
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Leveraging machine learning and remote sensing to monitor long-term spatial-temporal wetland changes: Towards a national RAMSAR inventory in Pakistan