
Dr Nabil Bachagha
- Position: Research Fellow
- Areas of expertise: Remote sensing and GIS applications; digital heritage and 3D laser scanning digital asset database; satellite imagery; machine/deep learning
- Email: N.Bachagha@leeds.ac.uk
- Location: 4.11 School of Civil Engineering
- Website: Twitter | LinkedIn | Googlescholar | Researchgate | ORCID
Profile
Dr. Nabil Bachagha has more than five years of experience in Earth Observation, utilizing satellite, airborne, and ground-based passive (optical, multi-hyperspectral) and active (radar, LiDAR) sensors. His research specializes in modeling, data processing, integration, and interpretation of big Earth Observation data for landscape analysis, environmental degradation, paleo-environmental investigations, and archaeological studies.
As a specialist in GIS, Remote Sensing, and Machine Learning techniques in archaeology, Dr. Bachagha is particularly interested in applying these methodologies to study landscapes of the Roman Empire, water management in arid regions, and cultural heritage monitoring and protection. His expertise extends to digital heritage and computational archaeology, integrating remote sensing, spatial analysis, and digital modeling to examine the evolution of heritage-based narratives and their impact on social media.
Dr. Bachagha has authored or co-authored more than 12 peer-reviewed publications in JRC journals, books, and international journals, including Remote Sensing, the Journal of Arid Land, and Regional Sustainability. He serves as a guest editor for multiple journals and is a reviewer for Remote Sensing, Applied Sciences, Sensors, the African Journal of Ecology, IERPH, Sustainability, Hydrology, and Geoscience Water. Currently, he is a member of the reviewer team at BAR Publishing (The British Archaeological Reports Series, Oxford OX2 7BP, UK).
He has been the scientific investigator of several internationally funded research projects, including two projects supported by the National Natural Science Foundation of China. His technical expertise spans a wide range of tools and methodologies, including remote sensing software (ENVI, ArcGIS, QGIS), UAV photogrammetry, satellite image processing, and 3D laser scanning using RealityCapture and Autodesk ReCap Photo. His proficiency in advanced data analysis, digital integration, and geospatial database management includes programming languages such as Python, R, MATLAB, and JavaScript.
Throughout his career, Dr. Bachagha has successfully managed interdisciplinary research projects, collaborating with historians, archaeologists, and data scientists while mentoring students in digital heritage and computational research. His strong publication record in remote sensing, GIS, and digital heritage demonstrates his commitment to advancing knowledge in these fields.
Responsibilities
- Researcher
Research interests
Implement a comprehensive heritage documentation strategy by integrating terrestrial 3D laser scanning, drone-based photogrammetry, geographic information systems (GIS), and extensive photographic surveys. This multifaceted approach enables the creation of detailed and high-resolution archival records of architectural and cultural heritage assets, supporting both conservation and digital heritage initiatives
Qualifications
- Doctor of Philosophy in Remote Sensing and GIS, University of Chinese Academy of Science
- Master of Science in Desertification and GIS United Nations University (UNU), Japan
- Master of Science in Agriculture University of Carthage, Tunisia
- Bachelor of Science in Life and Earth Sciences University of Carthage, Tunisia
Professional memberships
- Member of the Reviewer Team for BAR Publishing (The British Archaeological Reports Series, Oxford, UK)
- Editorial Board Member of: Remote Sensing Technology Journal, Journal of Latest Research on Remote Sensing, Journal of Global Humanities and Social Sciences
- Editorial Board Member for Journal of Latest Research on Remote Sensing and Remote Sensing Technology
- Member, Alliance of Overseas R&D Talents, Hunan Province, China