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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)
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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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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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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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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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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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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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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Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth
Urbanization-led changes in land use land cover (LULC), resulting in an increased impervious surface, significantly deteriorate urban …
Mirza Waleed
,
Muhammad Sajjad
,
Anthony Owusu Acheampong
,
Md Tauhidul Alam
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Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation
Timely and accurate estimation of rice-growing areas and forecasting of production can provide crucial information for governments, …
Mirza Waleed
,
Muhammad Mubeen
,
Ashfaq Ahmad
,
Muhammad Habib Ur Rahman
,
Asad Amin
,
Hafiz Umar Farid
,
Sajjad Hussain
,
Mazhar Ali
,
Saeed Ahmad Qaisrani
,
Wajid Nasim
,
Hafiz Muhammad Rashad Javeed
,
Nasir Masood
,
Tariq Aziz
,
Fatma Mansour
,
Ayman EL Sabagh
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Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own …
Sliman Hitouri
,
Antonietta Varasano
,
Meriame Mohajane
,
Safae Ijlil
,
Narjisse Essahlaoui
,
Sk Ajim Ali
,
Ali Essahlaoui
,
Quoc Bao Pham
,
Mirza Waleed
,
Sasi Kiran Palateerdham
,
Ana Cláudia Teodoro
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