Assistant Professor of Geospatial Science
University of Arkansas at Monticello - Monticello, AR
Monticello, Arkansas, United States
Hamdi Zurqani, Ph.D., is an Assistant Professor of Geospatial Science in Natural Resource Management and Conservation at the University of Arkansas Agricultural Experiment Station, Arkansas Forest Resources Center, University of Arkansas at Monticello, Monticello, AR, USA. He is also an FAA (i.e., Pt107) Certified sUAS/Drones Pilot and has used this skill to enhance his knowledge of remote sensing and GIS. Dr. Zurqani is a recognized expert as a result of his internationally acclaimed work in the areas of environmental information science, remote sensing, geospatial analysis, land evaluation, sustainability, pedology, and soil science education. He has conducted research across the world, including the United States of America and Africa, and has served as PI, co-PI, or co-investigator on several grants-funded research projects. Dr. Zurqani is highly collaborative, as evidenced by his publications. He is the author and co-author of many peer-reviewed publications, book chapters, and technical publications (including teaching laboratory manuals). He also edited two books with Springer Nature (i.e., "Environmental Applications of Remote Sensing and GIS in Libya", and "The Soils of Libya"), and has published widely in many peer-reviewed journals (e.g., International Journal of Applied Earth Observation and Geoinformation (Elsevier); Remote Sensing in Earth Systems Sciences (Springer Nature); Scientific Reports (Nature); Frontiers in Environmental Science (Frontiers); Geoderma (Elsevier); Land (MDPI); Urban Forestry & Urban Greening (Elsevier), and others). Dr. Zurqani conducts cutting-edge research in the fields of Environmental Information Science, Remote Sensing, Land use management/ planning, change detection of landscape degradation, and Geographic Information System (GIS) models. He has focused his research efforts on the development of novel applications for new technologies in analyzing spatial data, remote sensing, geostatistical modeling of environmental changes such as erosion, mapping and predicting soil salinity, and land use/ land cover changes.
Thursday, September 19, 2024
9:30 AM – 10:30 AM MST
