People
Advisees at University of Arkansas at Monticello
Obioma C. Ogwo
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"
Publications:
"Coming soon"
Abstracts and Posters:
"Coming soon"
Prajwol (Babu) Subedi
Expected Graduation: Fall 2025.
Research topic: "Assessing biomass and carbon stock in present land use and developing a high-resolution forest canopy cover dataset for the State of Arkansas, USA"
Publications:
"Coming soon"
Abstracts and Posters:
Subedi, P.B., H.A., Zurqani, M.A., Blazier, and M., Yanez. 2023. Using Machine Learning and Google Earth Engine to Enhance the Forest Canopy Cover Analysis and Individual Tree-Crown Detection. The 14th Southern Forestry and Natural Resource Management GIS conference (SOFOR GIS), Athens, Georgia, December 11–12, 2023
Segun (Micheal) Adedapo
Expected Graduation: Fall 2024
Research topic: "Characterization of FOAgREC Soils and Development of Fine-Scale Soil Properties Maps".
Publications:
Adedapo, S.M., and H.A. Zurqani. 2023. Development of Digital Terrain Model Under High Dense Forest Cover Using USGS and Drone LiDAR Data. IIn IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium, Session: TUP.P19: Forest and Vegetation Mapping Through Machine Learning Methods II, Paper TUP.P19.4, pp. 3074-3077, doi: 10.1109/IGARSS52108.2023.10283140.
Abstracts and Posters:
Adedapo, S.M., H.A., Zurqani, R.L., Ficklin, and D.C., Osborn. 2024. Applications of Machine Learning Techniques in Predicting Selected Soil Properties in Lower Mississippi Alluvial Valley Green Tree Reservoir. The IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS 2024), Oran, Algeria, April 15 - 17, 2024
Adedapo, S.M., H.A., Zurqani, R.L., Ficklin, and D.C., Osborn. 2023. Application of Machine Learning in Predicting Selected Soil Properties in Lower Mississippi Alluvial Valley Green Tree Reservoir. The 14th Southern Forestry and Natural Resource Management GIS conference (SOFOR GIS), Athens, Georgia, December 11–12, 2023
Adedapo, S.M., and Zurqani, H.A. 2023. Development of Digital Terrain Model Under High Dense Forest Cover Using USGS and Drone LiDAR Data. The 43rd annual International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, July 16 - 21, 2023
Adedapo, S.M., and Zurqani, H.A. 2023. A Comparative Analysis of Spatial Interpolation Methods on Digital Terrain Models Under High Dense Forest Cover. The Arkansas GIS Users Forum, the Arkansas GIS Spring Meeting, Jacksonville, AR, April 12, 2023
M.S. Thesis Committees at University of Arkansas at Monticello
Katherina Schroyer
Expected Graduation: Fall 2024.
Research topic: "Monitoring the response of waterbirds and vegetation to the drawdown of Big Lake National Wildlife Refuge".
Publications:
Hagy, H., K. Schroyer, G. Wilkerson, P. Stinson, B. Fortier, and J. Wortham. 2023. Midwinter Aerial Waterfowl Surveys on National Wildlife Refuges in the Southeast, 2023. U.S. Fish and Wildlife Service Report. https://ecos.fws.gov/ServCat/Reference/Profile/157221.
Abstracts and Posters:
Schroyer, K.A., H.A. Zurqani, S. Rimer, H.M. Hagy, and D.C. Osborne. 2023. Modeling Vegetation Community Change and Analyzing Waterbird Use During a Drawdown on Big Lake National Wildlife Refuge. 2023: Five Oaks Research Symposium.
Schroyer, K.A., H.A. Zurqani, S. Rimer, H.M. Hagy, and D.C. Osborne. 2022. Waterbird and Vegetation Response to the Drawdown of Big Lake National Wildlife Refuge. Lower Mississippi Valley Joint Venture Waterfowl Symposium, 2022
Shadia Alzurqani
Expected Graduation: Fall 2024.
Research topic: "Mapping and monitoring the spatial and temporal variation of agricultural and meteorological drought in Arkansas, USA".
Publications:
Alzurqani, S.A., Zurqani, H.A., D.J., White, K.A., Bridges, and S.A. Jackson. 2023. Mapping and Monitoring the Spatial and Temporal Variation of Drought and Its Impact on Vegetation Cover in Arkansas, USA. In IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium, Session: TH3.R9: EO Applied to Climate Security Scenarios, Paper TH3.R9.5, pp. 1664-1667, doi: 10.1109/IGARSS52108.2023.10281403.
Abstracts and Posters:
Alzurqani, S.A., Zurqani, H.A., D.J., White, K.A., Bridges, and S.A. Jackson. 2023. Google Earth Engine Application for Mapping and Monitoring Drought Patterns and Its Impact on Vegetation Cover in Arkansas, USA. The 2023 South Dakota Student Water Conference, Brookings, SD, October 10, 2023
Alzurqani, S.A., Zurqani, H.A., D.J., White, K.A., Bridges, and S.A. Jackson. 2023. Mapping and Monitoring the Spatial and Temporal Variation of Drought and its Impact on Vegetation Cover in Arkansas, USA. The 43rd annual International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, July 16 - 21, 2023
Alzurqani, S.A., Zurqani, H.A., D.J., White, K.A., Bridges, and S.A. Jackson. 2023. Mapping and Monitoring the Spatial and Temporal Variation of Drought and its Impact on Vegetation Cover in Arkansas, USA. The Arkansas GIS Users Forum, the Arkansas GIS Spring Meeting, Jacksonville, AR. 12 April 2023
Dipendra Dhungana
Expected Graduation: Fall 2024.
Research topic: "Spatial Variability of Soil Series Chemical Properties and Development of Best-Fit Spatial Interpolation Models".
Publications:
"Coming soon"
Abstracts and Posters:
Dhungana, D., R. L., Ficklin, H. A., Zurqani, and S. Wilson. 2023. Spatial Variability of Soil Series Chemical Properties and Development of Best-Fit Spatial Interpolation Models. The Society of American Foresters (SAF) National Convention. Sacramento, CA. October 25–28, 2023
James Borland
Expected Graduation: Fall 2023.
Research topic: "Coming soon"
Hickle Katheryn (CFANR-UAM Alumni: Class of 2022)
Graduated: Fall 2022.
Research topic: "Landscape-level Habitat Suitability Model for Black Bear, Prothonotary Warbler, and Rafinesque’s Big-Eared Bat to Guide Management Decisions in the Cache River Floodplains of Arkansas".
How to apply for M.S. degree at CFANR-UAM:
To begin the application process, you must apply to University of Arkansas at Monticello as well as College of Forestry, Agriculture & Natural Resources.
The UAM admission process can be found on the following website. https://www.uamont.edu/admissions/index.html
List of the required forms and documents needed to begin the admission process to the College of Forestry, Agriculture & Natural Resources.
College Transcripts
GRE Scores
TOEFL Scores (For international applicants whose native language is not English)
These forms should be sent to the College of Forestry, Agriculture & Natural Resources, Graduate Program, P.O. Box 3468, Monticello, AR 71656, or they may be emailed to Ms. Rhonda Parris at parris@uamont.edu. Please note that all reference materials must come to Ms. Rhonda directly from the person writing the reference.
Degree Requirements:
Candidates for the master's degree at CFANR-UAM must earn a minimum of 24 semester hours of credit in coursework plus earn a minimum of 4-6 additional hours of thesis research hours, for a total of 30 hours.
Required Courses (18 hours):
FRS 5113 Applied Pred. Stat. (Fall Odd Year) (3-credit)
FRS 5123 Applied Comp. Stat. and Infer. (Fall Even Year) (3-credit)
FRS 5103 Research Methods (Fall Even Year) (3-credit)
FRS 5293 Contemp. Issues in Nat. Res. Cons.(Spr. Even Year) (3-credit)
FRS 5203 Social Aspects of Nat.l Res. Mgmt. (Spr. Odd Year) (3-credit)
FRS 5223 Natural Resource Ecology (Spr. Even Year) (3-credit)
Elective Courses (6-8 hours)
Research and Thesis (4-6 hours)
Copyright © 2024 Hamdi A. Zurqani.