Elzbieta Pastucha

Elzbieta Pastucha is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where she is affiliated with the SDU UAS Center and SDU Climate Cluster. Her research focuses on UAV-based photogrammetry, remote sensing, and geospatial data analysis, with applications in environmental monitoring, urban mapping, and precision agriculture.

Education:

• Ph.D. in Surveying, Photogrammetry, and Remote Sensing, AGH University of Science and Technology (Awarded: January 21, 2016)

Research Interests:
Her work spans advanced photogrammetric techniques, including smartphone-based 3D modeling, radiometric correction of UAV imagery, and classification of urban environments using neural networks. She applies these methods to solve real-world problems in infrastructure monitoring, geological displacement, and agricultural yield estimation. Her research integrates computer vision, geospatial engineering, and machine learning to enhance data accuracy and usability.

Publication Trends:
Recent publications (2022–2024) demonstrate a strong focus on UAV photogrammetry, with emphasis on image normalization, deformation correction, and environmental classification. Her work frequently involves interdisciplinary collaboration and appears in high-impact journals such as Remote Sensing, Sensors, and Engineering Geology.

Scientific Awards:

• No awards or fellowships explicitly mentioned in the text.

Advising and Grants:
While no formal advisees are listed, she is actively teaching courses in statistics, data analysis, and robotics for UAS. She leads and participates in externally funded projects, including the EU-supported 'WildDrone' project as project manager and 'Præcisionsfrøavl' as a project participant, both running from 2023 to 2026.

Labs and Teams:
She is a key member of the SDU UAS Center and contributes to the SDU Climate Cluster. Her work is conducted within collaborative teams involving researchers from engineering, computer science, and environmental disciplines. She collaborates with researchers across institutions, particularly in UAV-based environmental and agricultural monitoring.