Yousif Mousa | Remote Sensing | Best Researcher Award

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Dr. Yousif Mousa | Remote Sensing | Best Researcher Award

Adjunct Research Fellow, Curtin University and Al-Muthanna University Iraq

Dr. Yousif A. Mousa, a prominent academic in Surveying Engineering, specializes in Photogrammetry and Remote Sensing. He holds a Ph.D. from Curtin University and has a rich academic history, with research contributions focusing on satellite and UAV image processing. With extensive experience in academia, Dr. Mousa has taught at institutions such as Al-Muthanna University and Curtin University. His scientific activities, particularly in the areas of mapping, GIS, and urban planning, have led him to review for international journals and publish influential papers on building detection and DTM extraction.

Profile

Scopus

Orcid

🎓 Education

Dr. Mousa completed his Ph.D. in Surveying Engineering, specializing in Photogrammetry and Remote Sensing, from Curtin University (2020). He also holds a Master’s degree in Surveying Engineering from Baghdad University (2010) and a Bachelor’s degree from the same institution (2007). His academic journey has been marked by strong analytical and technical foundations in geospatial sciences, laying the groundwork for his contributions in spatial analysis and remote sensing.

💼 Experience 

Dr. Mousa has been a Lecturer at Al-Muthanna University since 2010, teaching subjects related to surveying and photogrammetry. He has also served as a casual academic at Curtin University (2016-2020), tutoring in Photogrammetry, Applied Cartography, and Advanced Photogrammetry. Additionally, he worked as an Adjunct Research Fellow at Curtin University (2020-2024). His academic contributions extend to urban planning and GIS work for Muthanna Governorate and research on Sawa Lake’s water level decline for environmental protection.

🏆 Awards and Honors 

Dr. Mousa’s career has been distinguished by numerous accolades, including recognition for his groundbreaking research in remote sensing. His work has been published in leading journals like the Canadian Journal of Remote Sensing and Remote Sensing of Environment. His commitment to research excellence is reflected in his role as a reviewer for top journals in his field. His ongoing contributions have made a significant impact in the realms of photogrammetry, remote sensing, and GIS.

🔬 Research Focus

Dr. Mousa’s research focuses on remote sensing, photogrammetry, and GIS applications, particularly in building detection, DTM extraction, and environmental monitoring using UAV and satellite data. He has pioneered new approaches to spatial analysis, particularly in urban mapping and environmental monitoring, such as investigating Sawa Lake’s physical parameters and drought impacts. His ongoing work involves developing efficient algorithms for processing spatial data, advancing technologies for mapping and urban planning.

Conclusion 

Dr. Yousif A. Mousa is undoubtedly a leading figure in the field of Surveying Engineering, with particular strengths in Photogrammetry and Remote Sensing. His solid academic foundation, combined with significant contributions to environmental and geospatial research, make him a strong candidate for the Best Researcher Award. While there are opportunities to broaden his interdisciplinary collaborations and practical applications, his work has already proven to be valuable, impactful, and cutting-edge in the realm of remote sensing and geospatial technologies. His continued contributions promise to further the advancement of these fields and tackle pressing environmental issues.

Publication

  1. Title: Comparison Study of Three Building Regularization Algorithms
    Authors: Bulatov, D., Mousa, Y.A., Helmholz, P.
    Conference: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    Year: 2024
    Volume: 10(4), pp. 59–66
    Citations: 0

 

  1. Title: Building Detection and Outlining in Multi-Modal Remote Sensor Data: A Stratified Approach
    Authors: Böge, M., Mousa, Y.A., Bulatov, D., Qiu, K.
    Journal: Canadian Journal of Remote Sensing
    Year: 2024
    Volume: 50(1), 2430490
    Citations: 0

 

  1. Title: Spatio-Temporal Analysis of Sawa Lake’s Physical Parameters between (1985–2020) and Drought Investigations Using Landsat Imageries
    Authors: Mousa, Y.A., Hasan, A.F., Helmholz, P.
    Journal: Remote Sensing
    Year: 2022
    Volume: 14(8), 1831
    Citations: 4

 

  1. Title: DTM Extraction and Building Detection in DSMs Having Large Holes
    Authors: Mousa, Y.A., Bulatov, D., Abed, F.M., Helmholz, P.
    Conference: Proceedings of SPIE – The International Society for Optical Engineering
    Year: 2021
    Volume: 11864, 118640H
    Citations: 3

 

  1. Title: Geo-locating Historical Survey Data and Images – A Case Study for the Canning River, Perth, Western Australia
    Authors: Helmholz, P., Mousa, Y., Snow, T., Tonkin, J., Lamont, W.
    Conference: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives
    Year: 2020
    Volume: 43(B4), pp. 575–582
    Citations: 1

 

  1. Title: Building Detection and Regularisation Using DSM and Imagery Information
    Authors: Mousa, Y.A., Helmholz, P., Belton, D., Bulatov, D.
    Journal: Photogrammetric Record
    Year: 2019
    Volume: 34(165), pp. 85–107
    Citations: 28

 

  1. Title: New DTM Extraction Approach from Airborne Images Derived DSM
    Authors: Mousa, Y.A.-K., Helmholz, P., Belton, D.
    Conference: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives
    Year: 2017
    Volume: 42(1W1), pp. 75–82
    Citations: 23

Xin Bao | Agricultural Disaster Monitoring | Best Researcher Award

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Dr. Xin Bao | Agricultural Disaster Monitoring | Best Researcher Award

Doctoral Candidate, Southwest Jiaotong University China

Xin Bao is a Ph.D. candidate in Surveying and Mapping Science and Technology at Southwest Jiaotong University, Chengdu, China. Her research focuses on vegetation growth monitoring, soil moisture retrieval, and the use of synthetic aperture radar (SAR) for environmental monitoring. Xin has published extensively in high-impact journals and presented her work at national and international conferences. She holds both a Master’s and Bachelor’s degree in Surveying and Mapping from Guilin University of Technology and Shangqiu Normal University. Xin is also involved in patent development related to SAR and remote sensing technologies.

Publication Profile

Scopus

🎓 Education

Xin Bao completed her Ph.D. in Surveying and Mapping Science and Technology at Southwest Jiaotong University in 2021. Before that, she earned an M.S. in Engineering from Guilin University of Technology and a B.S. in Engineering from Shangqiu Normal University. Throughout her academic journey, Xin focused on remote sensing, SAR imagery, and environmental monitoring, contributing valuable insights into vegetation monitoring and soil moisture analysis. She has collaborated with renowned professors like Rui Zhang and Guoqing Zhou on several impactful research projects.

💼 Experience

Xin Bao has worked on numerous research projects, including soil moisture inversion methods in cold and arid regions and the dynamic evolution of glaciers and glacial lakes in Tibet. She has collaborated with international research teams, published papers in peer-reviewed journals, and presented at various academic conferences. Her research has focused on improving SAR-based methods for monitoring vegetation growth and soil moisture, contributing significantly to the remote sensing field. Xin is also a peer reviewer for several esteemed journals in her area.

🏆 Awards & Honors

Xin Bao has received numerous academic awards, including the Doctoral Academic Excellence Scholarship (2021-2023), Yang Hua Rising Star Scholarship (2021), and the Outstanding Master’s Graduate Award (2021). She has been recognized for her excellence in mathematical modeling, winning first prize in the Graduate Mathematical Modeling Competition in 2019. Xin also received the National Encouragement Scholarship in 2018, showcasing her exceptional academic and research achievements.

🔬 Research Focus

Xin Bao’s research focuses on vegetation growth monitoring, soil moisture retrieval, and the application of synthetic aperture radar (SAR) in environmental monitoring. Her work includes developing novel algorithms for soil moisture inversion in arid and cold regions and analyzing glacial dynamics in Tibet using SAR and optical imagery. She is also investigating advanced methods for integrating real-scene visualization with urban imagery. Xin aims to improve environmental monitoring and disaster prevention strategies through her innovative research.

Conclusion

Xin Bao’s strong academic foundation, combined with his research excellence in SAR-based monitoring systems and soil moisture retrieval, makes him an ideal candidate for the Best Researcher Award. His ongoing work on time-series SAR data and its applications in geosciences demonstrates his potential for future innovations. With continued focus on cross-disciplinary collaboration and greater engagement with the global scientific community, Xin Bao is poised to make further substantial contributions to remote sensing and environmental research.

Publication Top Notes