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Student Researchers
Obioma (Obi) Ogwo
CFANR-UAM Student: Research Assistant
Expected Graduation: Fall 2025.
Research topic: "Assessing the quality and quantity of emergent marsh for waterfowl and other wetland bird species in the Arkansas Delta, USA"
Peer-reviewed Publications (#1):
Journal Articles (#X), Conference Proceedings (#1), and Book Chapters (#X)
Ogwo*, C.M., H.A., Zurqani, D.C., Osborne, A., Ryan, and A., Mini. 2025. Deep Learning-Based Wetland Vegetation Classification: The Impact of Spectral and Spatial Features. In 2024 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), Surabaya, Indonesia, 2024, Dec 13–14, 2024, (Conference Proceeding).
Abstracts and Posters (#2):
Ogwo*, C.M., H.A., Zurqani, D.C., Osborne, A., Ryan, and A., Mini. 2025. The Roles of Spectral and Spatial Features in Enhancing Wetland Vegetation Classification Using Deep Learning. In the 12th IEEE Conference on Technologies for Sustainability (SusTech 2025), Los Angeles California, April 20—23, 2025.
Ogwo*, C.M., H.A., Zurqani, D.C., Osborne, A., Ryan, and A., Mini. 2025. Deep Learning-Based Wetland Vegetation Classification: The Impact of Spectral and Spatial Features. In 2024 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), Surabaya, Indonesia, 2024, Dec 13–14, 2024.
Copyright © 2025 Dr. Zurqani.