Jephthah Nimoh Marfo

I am a results-driven geospatial expert & PhD researcher with over 4 years of professional experience specializing in Geomatic Engineering, Geographic Information Systems (GIS) applications, Remote Sensing, and Unmanned Aerial Systems (UAS). I possess a proven track record of converting complex spatial data into actionable insights for water resource management, precision agriculture, and infrastructure planning. Currently a PhD student in Earth and Atmospheric Sciences at Mississippi State University, I hold a Master of Philosophy in GIS and a bachelor's degree in Geomatic Engineering. My technical proficiency includes advanced spatial modeling with AutoCAD, ArcGIS Pro, Global Mapper, Python, R, and Google Earth Engine, as well as hands-on expertise in multispectral drone operations and machine learning applications. I am passionate about applying Geomatic Engineering principles and geospatial technologies to convert spatial data into actionable insights that support water resources engineering, agriculture, infrastructure planning, and informed engineering decisions.

• Drone/UAV Pilot Training | August 2021

Dronetec Consults – Ghana

Certificate of participation in drone piloting and data processing

• Remote Pilot and Aircraft Systems (RPAS) Training Course | November 2023

University of Mines and Technology (UMAT) – Ghana

Certificate of participation in drone piloting and data processing training.

• Training Professional Engineer (TPE) | JULY 2023

Ghana Institution of Engineering | Civil Engineering (Geomatics)

• Professional Engineer (PE) | SEPTEMBER 2024 - PRESENT

Ghana Institution of Engineering | Civil Engineering (Geomatics)

• Environmental and Climate Impact Analysis
• Land Use and Land Cover Analysis
• Water Resource Management and Engineering
• Unmanned Aerial Systems Applications
• Geospatial Analysis
• Precision Farming
• Geomatics

• Marfo, J. N., Quaye-Ballard, J. A., Kwakye, S. O., Obeng, K., Arko-Adjei, A., Quaye-Ballard, N. L., & Quao, R. N. A. (2024). Groundwater quality and potential analysis using geospatial techniques: The case of Ashanti Region in Ghana. Heliyon, 10(6). https://doi.org/10.1016/j.heliyon.2024.e27545
• Naa Yemoley Nsiah, S., Arthur Quaye-Ballard, J., Nimoh Jephthah, M., Tienaah, T., Obeng, K., Dzigbordi Wemegah, T., & Adwoa Okyere, P. (2025). Impact of Mining Activities on Land Use, Land Cover (LULC) using Geospatial Techniques in the Obuasi Municipality. Journal of Science and Technology © KNUST 2025 1 Journal of Science and Technology, 43(3), 1–22. https://doi.org/10.4314/just.v43i3.1
• Marfo, J. N., Ambinakudige, S., Kodadinne Narayana, N., Adeli, A., McCraine, C. D., & Bheemanahalli, R. (2025). Assessing the influence of cotton phenology on UAS-based multispectral vegetation indices and machine learning yield prediction. Manuscript submitted for publication (Lead Author).
• Marfo, J. N., & Ambinakudige, S. (2025). Unequal burdens: Land tenure and agricultural losses in the 2019 Lower Mississippi River floods. Manuscript submitted for publication (Lead Author).

• Kwakye, S. O., & Marfo, J. N. (2023, December). Groundwater Quality and Potential Analysis Using Geospatial Techniques: The Case of Ashanti Region in Ghana. Presented at the 2023 American Geophysical Union (AGU23) Annual Meeting, Moscone, San Francisco, CA. (Co-author; not presenter).
• Marfo, J. N ., & Ambinakudige, S. (2025). Assessing impacts of flooding on agricultural lands and settlements in the southern Mississippi Delta using remote sensing and geospatial techniques. Poster presented at the Spring 2025 Graduate Research Symposium , Mississippi State University, Mississippi State, MS, USA.
• Marfo, J. N ., Ambinakudige, S., Kodadinne Narayana, N., Adeli, A., McCraine, C. D., & Bheemanahalli, R. (2025). Growth stage–specific cotton yield prediction using UAV multispectral imagery and machine learning. Poster presented at the 2025 CAST Annual Meeting & Student Innovation Conference , Starkville, MS, USA.
• Marfo, J. N ., & Ambinakudige, S. (2025). Flood frequency, land ownership, and agricultural loss: Insights from the 2019 Lower Mississippi Alluvial Valley floods. Poster presented at the 2025 Mississippi Water and Energy Conference , The Mill, Starkville, MS, USA.
• Marfo, J. N ., & Ambinakudige, S. (2025). Demographic and housing vulnerability in 2019 in the Lower Mississippi Alluvial Valley: A county-level equity assessment. Poster presented at the 80th SEDAAG Annual Meeting (SEDAAG 2025) , Lexington, KY, USA.
• Marfo, J. N ., Ambinakudige, S., Kodadinne Narayana, N., Adeli, A., McCraine, C. D., & Bheemanahalli, R. (2025). Optimizing cotton yield prediction using UAV-based multispectral imagery and SVM-RBF across reproductive growth stages. Poster presented at the 2025 American Geophysical Union (AGU25) Annual Meeting , Ernest N. Morial Convention Center, New Orleans, LA, USA.

American Society for Photogrammetry and Remote Sensing (ASPRS) | February 2025 - Present

Student Member – Mississippi State University

American Society for Photogrammetry and Remote Sensing (ASPRS) | February 2025 - Present

Student Chapter Secretary – Mississippi State University

American Society for Photogrammetry and Remote Sensing (ASPRS) | February 2025 - Present

ASPRS – Midsouth Division

Mississippi State University Representative