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Mohamad Awad

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First Name
Mohamad
Last Name
Awad
Affiliation
National Council for Scientific Research
Job Title
research director
Short Bio
I earned my BSc. and MSc. degrees in Computer Science from the Lebanese American University in the years 1988 and 2001 respectively. I earned my Ph.D. from the University of Rennes 1, France in Telecommunication and Signal Processing in May 2008. I have been working for the Lebanese National Council for Scientific Research as a Researcher and then as Director of Research since early 1996. I have many published research papers and book chapters, conferences, and referred journals covering many topics in many disciplines such as GIS, Remote Sensing, Computer Science, and natural resources management. My current subject of research is developing robust methods for satellite image processing. In addition to my research activities, I teach at many known national private and public universities such as the Lebanese University. Finally, I am a reviewer for many well-known scientific journals and conferences and a senior member of IEEE and many other international societies.

Dataset Entries from this Author

In this research, a newly modified UNet (Fast-UNet) was implemented to segment winter wheat from time series Sentinel-2 images for the years 2021 and 2023. These images were converted to NDVI and utilized to identify wheat fields by tracking the wheat phenology from sowing to harvesting. The main satellite image that was used in this research was Sentinel-2.  It is considered important, and free optical remote sensing satellite data is provided by the European Space Agency (ESA). Sentinel-2A and Sentinel-2B were launched in June 2015 and March 2017, respectively.

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A spectral signatures database of major crops in the East Mediterranean basin was created to support remote sensing applications specifically satellite hyperspectral and multispectral image classification. Moreover, it can be used to compute many important hyperspectral vegetation indices such as:

Atmospherically Resistant Vegetation Index (ARVI)

Modified Chlorophyll Absorption Ratio Index (MCARI)

Modified Chlorophyll Absorption Ratio Index - Improved (MCARI2)

Modified Red Edge Normalized Difference Vegetation Index (MRENDVI)

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