Zahra Dabiri

Email: zahra.dabiri(at)  Phone: +43 662 8044 0

PhD-thesis: Multiscale representation of multi-sensor Earth Observation imagery for efficient feature extraction

Zahra  received her Bachelor’s degree in Natural Resources Engineering with a major in Forests, from the University of Rasht, Iran. She received her Master’s degree in Geoinformatics from the Department of Geography at the University of Pune, India. The main focus of her Master Thesis was to develop a methodological framework for detection of morphological changes and site suitability analysis for ground water recharge, using remote sensing imagery and GIS techniques.

Zahra’s  research interest is on image processing, including multiscale image analysis and feature extraction and classification. For this, she uses high-spatial resolution hyperspectral imagery and space-borne active microware sensor platforms, such as synthetic aperture radar (SAR) imagery.

Currently, she is employed at the Department of Geoinformatics (Z_GIS) and involved in two projects:
•    the RiCoLa project “RiCoLa ”  for detection and analysis of landslide-induced river course changes and lake formation. Her focus is on landslide dam-lake detection and monitoring using space-borne optical remote sensing imagery,
•    and the MORPH project MORPH  for mapping, monitoring and modelling the spatio-temporal dynamics of land surface morphology. The focus of her work is on mapping and monitoring land deformation and mass movements using InSAR techniques and polarization analysis.  

Since May 2019, Zahra has been an associated student to the DK-GIScience. For her PhD Thesis, she continues her research on multiscale and multi-temporal remote sensing image analysis, multisensory remote sensing imagery integration, and supervised and unsupervised image dimensionality reduction using machine learning and data mining algorithms for efficient feature extraction.