Google earth engine

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
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)
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
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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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
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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Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation
Leveraging cloud-based computing and spatial modeling approaches for land surface temperature disparities in response to land cover change: Evidence from Pakistan
Monitoring spatial-temporal land use land cover (LULC) patterns and related processes (e.g., land surface temperature—LST) is essential …
Mirza Waleed, Muhammad Sajjad
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Leveraging cloud-based computing and spatial modeling approaches for land surface temperature disparities in response to land cover change: Evidence from Pakistan