Prof. Mostafa Kabolizadeh is an accomplished researcher and academic with recognized expertise in geomatics, photogrammetry, remote sensing, and spatial data science, contributing significantly to the advancement of geospatial technologies and their real-world applications. His scholarly work integrates LiDAR, satellite image processing, spatial analysis, and artificial intelligence to address complex challenges in mapping, environmental monitoring, disaster management, and wildlife conservation. He has demonstrated strong research leadership through the successful completion and coordination of numerous competitive research and consultancy projects, bridging theoretical innovation with applied solutions for industry and public-sector needs. His publication portfolio includes a substantial body of peer-reviewed journal articles in high-impact international and national outlets, reflecting sustained contributions to image processing, pattern recognition, optimization algorithms, and 3D reconstruction. He is also the author of an academic book that supports knowledge dissemination in geomatics and remote sensing. In addition to research productivity, he plays an active role in shaping the scientific community through professional service, society leadership, and collaborative research initiatives that foster interdisciplinary and applied geospatial science. His work emphasizes the integration of advanced algorithms and web-based GIS platforms for scalable spatial decision-making. Through mentoring, collaboration, and innovation, he has contributed to capacity building in remote sensing and surveying, while advancing methodological rigor and technological adoption across geospatial disciplines. His research continues to influence academic scholarship and applied practices by promoting data-driven, intelligent, and sustainable spatial solutions across environmental, engineering, and societal domains.
Profiles: Scopus | Orcid | Google Scholar
Featured Publications
Balouei, F., Kabolizadeh, M., & Rabiei-Dastjerdi, H. (2026). A novel high-resolution soil-moisture mapping using Sentinel-1 imagery and optimization-based for a new precise remote sensing drought index. International Journal of Environmental Science and Technology.
Zaheri Abdehvand, Z., & Kabolizadeh, M. (2025). Improving the temporal and spatial accuracy of the normalized difference vegetation index (NDVI) map using satellite image fusion algorithms. Journal of Applied Research in Geographical Sciences.
Karimi, D., Kabolizadeh, M., Rangzan, K., Zaheri Abdehvand, Z., & Balouei, F. (2025). New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy. International Journal of Environmental Science and Technology.
Pourmorad, S., Kabolizadeh, M., & Dimuccio, L. A. (2024). Artificial intelligence advancements for accurate groundwater level modelling: An updated synthesis and review. Applied Sciences, 14(16), 7358.
Kabolizadeh, M., Rangzan, K., Mohammadi, S., & Rabiei-Dastjerdi, H. (2024). Challenges of rainfall erosivity prediction: A novel GIS-based optimization algorithm to reduce uncertainty in large country modeling. Earth Science Informatics.