Hamdi A. Zurqani Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor of Geospatial Science in Natural Resource Management and Conservation

University of Arkansas at Monticello

faculty

Hzurqani@uark.edu

12 h-index 95 pubs 800 cited

Research Areas

Remote Sensing and Geospatial Analysis Land Use Management and Planning Sustainable Land Management Machine Learning Applications Environmental Monitoring Forestry and Biomass Estimation Soil Science and Pedology

Links

ORCID

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OverviewAI-generated summary

Hamdi A. Zurqani's research centers on the application of advanced geospatial technologies for environmental monitoring and resource management. His work investigates the integration of remote sensing, unmanned aerial systems (sUAS/drones), and geographic information systems (GIS) to address challenges in land evaluation, pedology, and sustainable land management. Zurqani has explored change detection methodologies for landscape degradation, employing techniques such as machine learning and Google Earth Engine to analyze satellite and LiDAR data.

His publications include studies on mapping agricultural irrigation, estimating forest aboveground biomass, and quantifying forest canopy cover using high-resolution data and machine learning algorithms. Zurqani has also examined the integration of soil information into land degradation analysis, particularly in the context of the United Nations Land Degradation Neutrality concept and Sustainable Development Goals. His research network includes collaborators Shadia A. Alzurqani and Kathleen A. Bridges from the University of Arkansas at Monticello, with whom he has co-authored multiple publications.

Zurqani's scholarship metrics include an h-index of 12 and over 800 citations across approximately 95 publications, indicating a significant contribution to his field. He is actively engaged in research, with recent publications extending to 2025.

Metrics

  • h-index: 12
  • Publications: 95
  • Citations: 800

Selected Publications

  • Assessing Potential Land and Soil for Nature-Based Solutions (NBS) for United Nations (UN) Initiatives: An Example of the Contiguous United States of America (USA) (2025) DOI
  • Monitoring Wise Use of Wetlands During Land Conversion for the Ramsar Convention on Wetlands: A Case Study of the Contiguous United States of America (USA) (2025) DOI
  • Introduction to the “Water Resources of Libya: Challenges and Management” (2025) DOI
  • An Overview of Flood Hazards in Libya: Impacts and Required Actions (2025) DOI
  • Irrigation Water Resources in Libya: Challenges and Potentials (2025) DOI
  • Enriching Earth Science Education with Direct and Proximal Remote Sensing of Soil Using a Mobile Geospatial Application (2025) DOI
  • A multi-source approach combining GEDI LiDAR, satellite data, and machine learning algorithms for estimating forest aboveground biomass on Google Earth Engine platform (2025) DOI
  • Accounting for Climate and Inherent Soil Quality in United Nations (UN) Land Degradation Analysis: A Case Study of the State of Arizona (USA) (2024) DOI
  • Soil-Based Emissions and Context-Specific Climate Change Planning to Support the United Nations (UN) Sustainable Development Goal (SDG) on Climate Action: A Case Study of Georgia (USA) (2024) DOI
  • Early Detection of Pine Needle Diseases in Southeast US Forests: A Deep Learning Approach Using UAV Imagery (2024) DOI
  • Disaggregating Land Degradation Types for United Nations (UN) Land Degradation Neutrality (LDN) Analysis Using the State of Ohio (USA) as an Example (2024) DOI
  • Evaluating the performance of various interpolation techniques on digital elevation models in highly dense forest vegetation environment (2024) DOI
  • Spatiotemporal Analysis of Soil Quality Degradation and Emissions in the State of Iowa (USA) (2024) DOI
  • Possible Integration of Soil Information into Land Degradation Analysis for the United Nations (UN) Land Degradation Neutrality (LDN) Concept: A Case Study of the Contiguous United States of America (USA) (2024) DOI
  • The first generation of a regional-scale 1-m forest canopy cover dataset using machine learning and google earth engine cloud computing platform: A case study of Arkansas, USA (2023) DOI

Collaborators

Researchers in the database who share publications

Shadia A. Alzurqani University of Arkansas at Monticello 2 shared publications Kathleen A. Bridges University of Arkansas at Monticello 1 shared publication