Dr. Gabriela M. Afrasinei
Assistant Lecturer at Technological Univ Dublin
SPIE Involvement:
Author
Area of Expertise:
Remote Sensing and GIS , Land degradation and desertification , Land cover/land use , salinization , sand encroachment , image processing
Websites:
Profile Summary

Gabriela Mihaela Afrasinei is geographer and a remote sensing and GIS early-career researcher, with more than 7 years of experience in interdisciplinary research and field survey. She received her PhD from the University of Cagliari, Italy, in 2016 and her MSc from the University of Iasi, Romania, in 2012. Her current work focuses on remote sensing techniques applied to land degradation assessment. She authored and co-authored 3 articles in peer-reviewed scientific journals, and 8 conference papers. She is a SPIE and IEEE member and reviewer for the Journal of Applied Remote Sensing.

In particular, her research background is based on GIS tools and remote sensing techniques applied to environmental sciences research, with special emphasis on spatial analysis, digital image processing, classification and change detection analysis. Academic preparation and research background in Romania, Italy, Tunisia and Australia. Keywords: natural and anthropogenic risk assessment, desertification and land-degradation, land cover and land use mapping, change detection.

Strong organisational skills, teamwork abilities gained during academic preparation experiences and extracurricular activities. She conducted research within the WADIS-MAR Demonstration Project, funded by the European Commission through the SWIM Programme (www.wadismar.eu), working as part of a multidisciplinary team. Highly ambitious, methodical, attentive to detail and capable of working on own initiative.
The current PhD research focused on the assessment of the dynamics of desertification and land degradation phenomena and proposed an adaptive methodology incorporating remote sensing techniques, ancillary, field (+ spectroradiometric) and XRD data for the identification and estimation of quantitative and qualitative change of degradation – indicating features. This study is also part of the WADIS-MAR Demonstration Project, funded by the European Commission through the SWIM Programme (www.wadismar.eu).
Publications (3)

SPIE Journal Paper | 18 February 2019
Atman Ait Lamqadem, Gabriela Afrasinei, Hafid Saber
JARS, Vol. 13, Issue 01, 014517, (February 2019) https://doi.org/10.1117/12.10.1117/1.JRS.13.014517
KEYWORDS: Vegetation, Earth observing sensors, Landsat, Shape memory alloys, Climatology, Agriculture, Visualization, Feature extraction, Remote sensing, Analytical research

SPIE Journal Paper | 10 February 2017
Gabriela Afrasinei, Maria Melis, Cristina Buttau, John Bradd, Claudio Arras, Giorgio Ghiglieri
JARS, Vol. 11, Issue 01, 016025, (February 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.016025
KEYWORDS: Earth observing sensors, Vegetation, Image classification, Visualization, Soil science, Agriculture, Minerals, Data modeling, Principal component analysis, Remote sensing

Proceedings Article | 20 October 2015 Paper
Gabriela Afrasinei, Maria Melis, Cristina Buttau, John Bradd, Claudio Arras, Giorgio Ghiglieri
Proceedings Volume 9644, 96441D (2015) https://doi.org/10.1117/12.2194998
KEYWORDS: Earth observing sensors, Vegetation, Principal component analysis, Image classification, Electroluminescence, Visualization, Agriculture, Remote sensing, Minerals, Soil science

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