Mr. Sajjad Hussain | Remote sensing Award | Best Researcher Award
Mr. Sajjad Hussain, COMSATS University Islamabad, Pakistan
π Mr. Sajjad Hussain is a PhD student in Environmental Sciences at COMSATS University Islamabad, Vehari Campus (2023-2026). With a strong academic foundation, he holds an MS in Environmental Science (CGPA 3.43/4), an MEd in Science Education, and an MSc in Mathematics (CGPA 3.53/4). His research focuses on land use and climate change in Southern Punjab. Proficient in GIS software and data analysis, he has published extensively in high-impact journals. His notable works include studies on land cover changes, groundwater quality, and urban growth predictions. πΏπ
Publication Profile
Academic Qualification
π Research Focus
π Publications
- Using GIS tools to detect the land use/land cover changes during forty years in Lodhran District of Pakistan – Environmental Science and Pollution Research, 2020. Cited by: 233 π
- Fate of organic and inorganic pollutants in paddy soils – Environmental pollution of paddy soils, 2018. Cited by: 187 πΎ
- Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan – Geology, Ecology, and Landscapes, 2023. Cited by: 94 π‘οΈ
- Study of land cover/land use changes using RS and GIS: a case study of Multan district, Pakistan – Environmental monitoring and assessment, 2020. Cited by: 89 π°οΈ
- Improving water use efficiency in agronomic crop production – Agronomic Crops: Volume 2: Management Practices, 2019. Cited by: 88 π§
- Spatiotemporal variation in land use land cover in the response to local climate change using multispectral remote sensing data – Land, 2022. Cited by: 82 π
- Land use and land cover (LULC) change analysis using TM, ETM+ and OLI Landsat images in district of Okara, Punjab, Pakistan – Physics and Chemistry of the Earth, 2022. Cited by: 75 π
- Monitoring of land useβland cover change and potential causal factors of climate change in Jhelum district, Punjab, Pakistan, through GIS and multi-temporal satellite data – Land, 2021. Cited by: 75 π
- Monitoring the dynamic changes in vegetation cover using spatio-temporal remote sensing data from 1984 to 2020 – Atmosphere, 2022. Cited by: 49 π
- Effect of plant growth promoting bacteria and drought on spring maize (Zea mays L.) – Pak. J. Bot, 2021. Cited by: 46 π½