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    image

    Esmaeel Adrah

    Department of Geography
    Ph.D. Candidate and Graduate Assistant
    Campus:
    Kent
    Office Location:
    407 McGilvrey Hall
    Contact Information
    Email:
    eadrah@kent.edu
    Personal Website:
    https://esmaeeladrah.com/

    Biography

    Esmaeel Adrah is a geospatial and remote sensing researcher and a Ph. D. candidate at Kent State University. His research focuses on developing geospatial frameworks that combine Earth Observations (EO) and geospatial AI (GeoAI) for agriculture resilience, water management, and disaster preparedness. 

    Specifically, his work investigates the dynamics of long-term irrigation, crop loss from disasters, and water-climate-conflict in transboundary basins. Recent projects include IrrEM: a 26-year, high-resolution irrigation record for the Eastern Mediterranean; sensor fusion for mapping tree crops; and, more recently, developing geospatial foundation model framework and benchmark for agricultural damage and loss. More broadly, he aims to integrate EO physical indicators with causal and socio-economic analysis, linking environmental changes to human decisions to support evidence-based management and disaster response.

    His research appears in venues like Remote Sensing of Environment, and has been recognized by the NSF I-GUIDE program, earning an honorary mention in the Spatial AI Challenge for his physics-informed Geo-AI for irrigation quantification, and in the Extreme Events and Disaster Resilience summer school for collaborative work on GeoAI fire risk mapping in the Pantanal Wetlands. He is also a recipient of the Water Diplomacy Center Fellowship with Blue Peace Middle East for his research on transboundary water in the Eastern Mediterranean, as well as the AAG Amy Mather Scholar Award for his work exploring “how does conflict increase climate-induced crop failure?”. 

    He holds an M.Sc. in Geospatial Analysis and a B.Sc. in Civil/Geotechnical Engineering. His academic path is informed by practical experience prior to his doctoral studies, drawing on training with and supporting the work of international organizations including UN-Habitat and the UN Volunteering Program on multidisciplinary projects across the Middle East, the southwestern Pacific, and South Asia.

    Alongside his research, Esmaeel is actively involved in supporting teaching activities at Kent State University through instructing and assisting in courses such as physical geography laboratory, remote sensing, and natural disasters and society. He also conducts hands-on geospatial training across various institutions, such as a recent workshop at Yale University. Committed to science communication, he also leads the Kent State Graduate Research Symposium as the Programming Chair of the Graduate Student Senate.

    Expertise

    Geospatial Analysis
    Remote Sensing
    Environmental GIS & Remote Sensing
    Geospatial and Remotely Sensed Technologies
    Natural Disasters

    Publications

    • Adrah, E., Brocca, L., Yu, M., & Yin, H. (2026). Physics-informed Geo-AI for quantifying irrigation withdrawals: Application to the Central Valley. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026). (Accepted). Preprint available
    • Adrah, E., Brocca, L., Senkardesler, E., and Yin, H.: IrrEM (Irrigation in the eastern Mediterranean): Two and a half decades of seasonal high-resolution irrigated land maps, Earth Syst. Sci. Data., https://doi.org/10.5194/essd-2026-603, in review, 2026
    • Adrah, E., Wong, J. P., & Yin, H. (2025). Integrating GEDI, Sentinel-2, and Sentinel-1 imagery for tree crops mapping. Remote Sensing of Environment, 319, 114644. https://doi.org/10.1016/j.rse.2025.114644
    • Adrah, E., Wan Mohd Jaafar, W. S., Omar, H., Bajaj, S., Leite, R. V., Mazlan, S. M., Silva, C. A., … & Mohan, M. (2022). Analyzing canopy height patterns and environmental landscape drivers in tropical forests using NASA’s GEDI spaceborne LiDAR. Remote Se
    • Mohan, M., Pastorello, G. Z., Feng, Y., Adrah, E., et al. (2026). Water availability modulates maximum canopy heights of low-elevation Amazonian second-growth forests. Tropical Ecology, 67, 68–83. https://doi.org/10.1007/s42965-025-00412-w
    • Mohan, M., Dutta Roy, A., Montenegro, J. F., … Adrah, E., et al. (2024). Mangrove forest regeneration age map and drivers of restoration success in Gulf Cooperation Council countries from satellite imagery. Remote Sensing Applications: Society and Environ
    • Saad, S. N. M., Wan Mohd Jaafar, W. S., Omar, H., Abdul Maulud, K. N., Muhmad Kamarulzaman, A. M., Adrah, E., et al. (2023). Modeling carbon emissions of post-selective logging in the production forests of Ulu Jelai, Pahang, Malaysia. Remote Sensing, 15(4
    • Mohan, M., Rue, H. A., Bajaj, S., Galgamuwa, G. A. P., Adrah, E., et al. (2021). Afforestation, reforestation and new challenges from COVID-19: Thirty-three recommendations to support civil society organizations (CSOs). Journal of Environmental Management
    • Doaemo, W., Mohan, M., Adrah, E., Srinivasan, S., & Dalla Corte, A. P. (2020). Exploring forest change spatial patterns in Papua New Guinea: A pilot study in the Bumbu River Basin. Land, 9(9), 282. https://doi.org/10.3390/land9090282
    • Mazlan, S. M., Wan Mohd Jaafar, W. S., Muhmad Kamarulzaman, A. M., … Adrah, E., et al. (2022). A review on the use of LiDAR remote sensing for forest landscape restoration. In M. N. Suratman (Ed.), Concepts and applications of remote sensing in forestry (
    • Adrah, E., Mohd Jaafar, W. S. W., Bajaj, S., Omar, H., Leite, R. V., Silva, C. A., Cardil, A., & Mohan, M. (2021). Analyzing canopy height variations in secondary tropical forests of Malaysia using NASA GEDI. IOP Conference Series: Earth and Environmental

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      Environmental Science and Design Research Initiative
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