Dr. Changjiang Liu | Remote sensing | Best Researcher Award
Xinjiang Normal University, China
Author Profiles 📚
Early Academic Pursuits 🎓
Dr. Changjiang Liu’s academic journey centers on the field of cartography and geographic information systems (GIS). His early pursuits focused on understanding the intricacies of remote sensing and its applications to environmental monitoring. This foundation laid the groundwork for his subsequent research on water environment extraction in arid regions, specifically lakes and reservoirs, using advanced remote sensing techniques. His work over the past five years has contributed significantly to the understanding of water dynamics in such challenging environments.
Professional Endeavors 💼
Dr. Liu’s professional career has been marked by continuous engagement with cutting-edge research in remote sensing applications, particularly in the context of arid areas. He has secured various research grants, including the Open Project of Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, and the Xinjiang Uygur Autonomous Region Natural Science Foundation. These projects have allowed him to explore the relationship between water quality, quantity, and environmental changes, contributing to the advancement of remote sensing technologies in resource management.
Contributions and Research Focus 🔬
Dr. Liu’s primary research focuses on the remote sensing of water environments, especially in arid regions. His studies examine the spatiotemporal variations in water quality and quantity in lakes and reservoirs, emphasizing the role of shallow water bottom reflection and its impact on remote sensing data. By developing radiative transfer simulations, he has made significant strides in enhancing the accuracy of water monitoring. Additionally, his work on quantifying the radiation transmission mechanism in shallow water environments has improved the understanding of water behavior in arid areas.
Impact and Influence 🌍
Dr. Liu’s research has had a profound impact on the scientific community, with 10 SCI papers as the first author and numerous collaborations with international researchers. His work has been widely cited (913 times), reflecting its importance and influence in the fields of remote sensing and environmental science. His papers in prestigious journals like Journal of Cleaner Production and Science of the Total Environment have contributed to advancing knowledge on water quality monitoring, environmental protection, and sustainable resource management in arid regions.
Academic Cites 📚
Dr. Liu has an H-Index of 16, which reflects the citation impact of his published work. With a total of 29 papers, his research is well-regarded in the field of environmental sciences, particularly in remote sensing. His influential articles continue to shape the discourse on water quality monitoring, environmental management, and the utilization of GIS and remote sensing technologies to assess and manage natural resources.
Technical Skills 🛠️
With a strong background in remote sensing and GIS, Dr. Liu possesses advanced technical skills in radiative transfer simulation, spatial data analysis, and environmental monitoring using remote sensing technologies. His expertise extends to the application of these techniques for analyzing water quality, quantity, and the environmental impacts of shallow water reservoirs and lakes. Dr. Liu’s contributions to technical advancements in these areas have enhanced the accuracy of environmental assessments in arid regions.
Teaching Experience 🍎
As a lecturer at Xinjiang Normal University, Dr. Liu imparts his knowledge and expertise to students, fostering a new generation of researchers and professionals in the fields of cartography, remote sensing, and GIS. His teaching experience includes guiding students through complex topics such as environmental monitoring, remote sensing analysis, and geographic information system applications, emphasizing both theoretical and practical aspects.
Legacy and Future Contributions 🔮
Dr. Liu’s legacy lies in his pioneering work in the application of remote sensing for environmental monitoring in arid regions. His research has contributed to the development of more accurate techniques for assessing water quality and quantity in challenging environments. Moving forward, Dr. Liu is poised to make continued contributions to the field, with ongoing research projects that aim to refine remote sensing methodologies and improve sustainable water management practices. His future work will undoubtedly further the understanding of arid region water systems, with broad applications for resource management and environmental protection.
Top Noted Publications 📖
An Advanced Spatiotemporal Fusion Model for Suspended Particulate Matter Monitoring in an Intermontane Lake
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- Authors: Zhang, F.; Duan, P.; Jim, C.Y.; Johnson, V.C.; Liu, C.; Chan, N.W.; Tan, M.L.; Kung, H.-T.; Shi, J.; Wang, W.
- Journal: Remote Sensing
- Year: 2023
Determining the main contributing factors to nutrient concentration in rivers in arid northwest China using partial least squares structural equation modeling
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- Authors: Wang, W.; Zhang, F.; Zhao, Q.; Liu, C.; Jim, C.Y.; Johnson, V.C.; Tan, M.L.
- Journal: Journal of Environmental Management
- Year: 2023
High-Resolution Planetscope Imagery and Machine Learning for Estimating Suspended Particulate Matter in the Ebinur Lake, Xinjiang, China
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- Authors: Pan Duan; Fei Zhang; Changjiang Liu; Mou Leong Tan; Jingchao Shi; Weiwei Wang; Yunfei Cai; Hsiang-Te Kung; Shengtian Yang
- Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Year: 2023
Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions
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- Authors: Duan, P.; Zhang, F.; Jim, C.-Y.; Tan, M.L.; Cai, Y.; Shi, J.; Liu, C.; Wang, W.; Wang, Z.
- Journal: Remote Sensing
- Year: 2023
Remote sensing for chromophoric dissolved organic matter (CDOM) monitoring research 2003–2022: A bibliometric analysis based on the web of science core database
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- Authors: Li, Z.; Zhang, F.; Shi, J.; Chan, N.W.; Tan, M.L.; Kung, H.-T.; Liu, C.; Cheng, C.; Cai, Y.; Wang, W. et al.
- Journal: Marine Pollution Bulletin
- Year: 2023