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Sahel Mahdavi received the Ph.D. degree in electrical engineering from the Memorial University of Newfoundland, St. John's, NL, Canada, in 2018.
She is currently with the Data Analytics team, Wood PLC, Aberdeen, Scotland. Having almost ten years of academic and industrial background in remote sensing, she is familiar with a wide array of topics relevant to RS/GIS and their applications in various environmental aspects. These topics include object-based wetland classification using a combination of optical and full-polarimetric SAR data, feature selection, soil moisture retrieval using SAR images, image segmentation, speckle reduction in SAR images, target detection in multispectral optical images, and the relationship between environmental conditions and SAR images. She also coauthored a book entitled Principles of SAR Remote Sensing. She has authored more than 40 peer-reviewed journals. She was a member of a provincial project on wetland classification during her Ph.D. when she identified the problem with wetland classification using remote sensing and, subsequently, proposed a novel scheme for wetland mapping.
Dr. Mahdavi was a recipient of the Newfoundland and Labrador Branch of Canadian Institute of Geomatics (CIG) Scholarship (2015), the Emera Graduate Scholarship for Distinctive Women in Engineering for three consecutive years (2016–2018), and the Professional Engineers and Geoscientists Newfoundland and Labrador Environmental Award (2020).
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REMOTE SENSINGno. 17 (2023)
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2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)pp.1-5, (2022)
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022): 1421-1453
2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)pp.1-4, (2022)
Meisam Amani,Mohammad Kakooei,Arsalan Ghorbanian,Rebecca Warren,Sahel Mahdavi,Brian Brisco,Armin Moghimi,Laura Bourgeau-Chavez, Souleymane Toure, Ambika Paudel, Ablajan Sulaiman, Richard Post
Waterno. 21 (2022): 3401-3401
WATERno. 23 (2022): 3809-3809
Marine Environmental Research (2022): 105701-105701
2022 10th International Conference on Agro-geoinformatics (Agro-Geoinformatics)pp.1-6, (2022)
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