A novel ensemble learning approach to extract urban impervious surface based on machine learning algorithms using SAR and optical data. - Muhammad Nasar Ahmad; Zhenfeng Shao; Xiongwu Xiao; Peng Fu 004; Akib Javed; Iffat Ara (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Revealing Land-Use Dynamics on Thermal Environment of Riverine Cities Under Climate Variability Using Remote Sensing and Geospatial Techniques. - Nazia Iftakhar; Fakhrul Islam; Mohammad Izhar Hussain; Muhammad Nasar Ahmad; Jinwook Lee; Nazir Ur Rehman; Saleh Qaysi; Nassir S. Al-Arifi; Youssef M. Youssef (ISPRS Int. J. Geo Inf., 2024)

Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface. - Zhenfeng Shao; Muhammad Nasar Ahmad; Akib Javed (Remote. Sens., 2024)

Optical-SAR Data Fusion Based on Simple Layer Stacking and the XGBoost Algorithm to Extract Urban Impervious Surfaces in Global Alpha Cities. - Muhammad Nasar Ahmad; Zhenfeng Shao; Akib Javed; Israr Ahmad; Fakhrul Islam; Hariklia D. Skilodimou; George D. Bathrellos (Remote. Sens., 2024)

Multisensor Data Fusion for Quantifying Agricultural Fire Impacts on Air Quality and Environmental Degradation. - Pu Bu; Rana Waqar Aslam; Abdul Quddoos; Nazih Yacer Rebouh; Muhammad Nasar Ahmad; Rana Muhammad Zulqarnain; Qaiser Abbas; Yahia F. Said (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Enhancing Water Bodies Detection in the Highland and Coastal Zones Through Multisensor Spectral Data Fusion and Deep Learning. - Xiaofei Han; Nazih Yacer Rebouh; Yasmeen Ahmed; Muhammad Nasar Ahmad; Zainab Tahir; Yahia F. Said; Ishfaq Gujree (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)