Hamdi Zurqani

Research Associate
GIS & Remote Sensing Specialist
Public Service Activities

Office: 509 Westinghouse Rd., Pendleton, SC 29670
Phone: 864-633-0160
Email: hzurqan@clemson.edu
Personal Website: https://sites.google.com/site/hamdizurqani/

 

 Educational Background

Ph.D. Forest Resources (Concentration: Environmental Information /Pedology)
Clemson University 2019

M.S. Agricultural Sciences (Concentration: Soil and Water Sciences)
University of Tripoli 2010

B.S Agricultural Sciences (Concentration: Soil and Water Sciences)
University of Tripoli 2007

 Profile

Hamdi Zurqani, Ph.D. is a research associate at the South Carolina Water Resources Center. Dr. Zurqani is recognized for his work in remote sensing, geospatial analysis, and soil science. He is highly collaborative as evidenced by his publications. He is the author and co-author of many peer-reviewed publications and technical publications (including teaching laboratory manuals). He has published widely in many peer-review journals (e.g., International Journal of Applied Earth Observation and Geoinformation; Remote Sensing in Earth Systems Sciences; Frontiers in Environmental Science; Geoderma; Land; Frontiers in Environmental Science, Urban Forestry & Urban Greening, and others). His new publications include: "Mapping Urbanization Trends in a Forested Landscape Using Google Earth Engine" in the Journal of Remote Sensing in Earth Systems Sciences; "Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine" in the International Journal of Applied Earth Observation and Geoinformation; and "Comparing Field Sampling and Soil Survey Database for Spatial Heterogeneity in Surface Soil Granulometry: Implications for Ecosystem Services Assessment" in the Journal of Frontiers in Environmental Science.

 Research Interests

Dr. Zurqani has focused his research efforts on the development of applications for new technologies in the field of Environmental Information Science, Remote Sensing, Land use management/ planning, change detection of landscape degradation, and Geographic information system models.

 Publications

1. Zurqani, H.A., Post, C.J., Mikhailova, E.A., Cope, M.P., Allen, J.S., and Lytle, B. 2020. Evaluating the integrity of forested riparian buffers over a large area using LiDAR data and Google Earth Engine. Nature "Scientific Reports". (accepted)

2. Mikhailova, E.A., Post, C.J., Schlautman, M.A., Post, G.C., and H.A. Zurqani. 2020. The business side of ecosystem services of soil systems. Earth 1(2):15-34.

3. Mikhailova, E.A., Zurqani, H.A., Post, C.J., and M.A. Schlautman. 2020. Assessing ecosystem services of atmospheric calcium and magnesium deposition for potential soil inorganic carbon sequestration. Geosciences 10(5), 200.

4. Rustem A., C.J. Post., and Mikhailova, E.A. M.A. Schlautman, Zurqani, H.A., A.A. Greena. and Paul M.A. 2020. Age and site index evaluations for loblolly pine in urban environments. Urban Forestry & Urban Greening, 126517.

5. Zurqani, H.A., C.J. Post., E.A. Mikhailova., and J.S. Allen. 2019. Mapping urbanization trends in a forested landscape using Google Earth Engine. Remote Sensing in Earth Systems Science, 1-10.

6. Mikhailova, E.A., Post, C.J., P. D Gerard., Schlautman, M.A., Cope, M.P., Stiglitz, R.Y., Zurqani, H.A., and Galbraith, J.M. 2019. Comparing the Spatial Heterogeneity of Field and Soil Survey Topsoil Texture and Coarse Fragments to Assess Ecosystem Services. Frontiers in Environmental Science, Section Soil Processes. 7, p 128.

7. Zurqani, H.A., E.A. Mikhailova. C.J. Post., M.A., Schlautman, and Elhawej, A.R. 2019. A Review of Libyan Soil Databases for Use within an Ecosystem Services Framework. Land, 8(5), p.82.

8. Groshans, G.R., Mikhailova, E.A., Post, C.J., Schlautman, M.A., Zurqani, H.A. and Zhang, L., 2018. Assessing the Value of Soil Inorganic Carbon for Ecosystem Services in the Contiguous United States Based on Liming Replacement Costs. Land, 7(4), p.149.

9. Zurqani, H.A., Post, C.J., Mikhailova, E.A., Schlautman, M.A. and Sharp, J.L., 2018. Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine. International Journal of Applied Earth Observation and Geoinformation, 69, pp.175-185.

10. Mikhailova, E.A., Post, C.J., Schlautman, M.A., Galbraith, J.M. and Zurqani, H.A., 2018. Usability of soil survey soil texture data for soil health indicator scoring. Communications in Soil Science and Plant Analysis, pp.1-9.

11. Mikhailova, E.A., Post, C.J., Chandler, R.D., Cole, S.A., Weaver, J.R., Zurqani, H.A., Cope, M.P. and Schlautman, M.A., 2018. Estimating Plant-Available Water in the Ap Horizon Using Geospatial Analysis of Field and SSURGO Data. Communications in Soil Science and Plant Analysis, 49(9), pp.1119-1127.

12. Zurqani, H., Mikhailova, E., Post, C., Schlautman, M. and Sharp, J., 2018. Predicting the Classes and Distribution of Salt-Affected Soils in Northwest Libya. Communications in Soil Science and Plant Analysis, 49(6), pp.689-700.

13. Mikhailova, E.A., Altememe, A.H., Bawazir, A.A., Chandler, R.D., Cope, M.P., Post, C.J., Stiglitz, R.Y., Zurqani, H.A. and Schlautman, M.A., 2016. Comparing soil carbon estimates in glaciated soils at a farm scale using geospatial analysis of field and SSURGO data. Geoderma, 281, pp.119-126.

14. Nwer, B.A., H.A. Zurqani., and Rhoma, E.A. 2013. The Use of Remote Sensing and Geographic Information System for Soil Salinity Monitoring in Libya. GSTF Journal of Geological Sciences (JGS). Vol.1 No.1.

 Links

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