Hamdi A. Zurqani Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor of Geospatial Science in Natural Resource Management and Conservation
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Biography and Research Information
OverviewAI-generated summary
Hamdi A. Zurqani's research focuses on applying advanced technologies to environmental information sciences. His work utilizes geospatial intelligence, remote sensing, and unmanned aerial systems (sUAS/drones) for land evaluation, pedology, and land use management. Zurqani investigates sustainable land management practices and employs change detection methods to analyze landscape degradation. He also develops and applies geographic information system (GIS) models for environmental assessment and planning.
His publications include studies on soil diversity and ecosystem services, mapping agricultural irrigation using Google Earth Engine, and estimating forest aboveground biomass and canopy cover with machine learning and LiDAR data. Zurqani has also explored fusing satellite and SAR data for deforestation mapping and integrating soil information into land degradation analysis for the UN Land Degradation Neutrality concept. His work supports the United Nations Sustainable Development Goals by monitoring soil and land development.
Metrics
- h-index: 13
- Publications: 97
- Citations: 847
Selected Publications
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Multi-sensor forest aboveground biomass estimation using GEDI, machine learning, and deep learning techniques (2025)
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The Role of Soil Diversity (Pedodiversity) in the Kunming-Montreal Global Biodiversity Framework: Example of the Contiguous United States of America (USA) (2025)
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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)
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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)
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Introduction to the “Water Resources of Libya: Challenges and Management” (2025)
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An Overview of Flood Hazards in Libya: Impacts and Required Actions (2025)
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Irrigation Water Resources in Libya: Challenges and Potentials (2025)
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Enriching Earth Science Education with Direct and Proximal Remote Sensing of Soil Using a Mobile Geospatial Application (2025)
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A multi-source approach combining GEDI LiDAR, satellite data, and machine learning algorithms for estimating forest aboveground biomass on Google Earth Engine platform (2025)
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Accounting for Climate and Inherent Soil Quality in United Nations (UN) Land Degradation Analysis: A Case Study of the State of Arizona (USA) (2024)
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Google Earth Engine application for mapping and monitoring drought patterns and trends: A case study in Arkansas, USA (2024)
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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)
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Early Detection of Pine Needle Diseases in Southeast US Forests: A Deep Learning Approach Using UAV Imagery (2024)
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Disaggregating Land Degradation Types for United Nations (UN) Land Degradation Neutrality (LDN) Analysis Using the State of Ohio (USA) as an Example (2024)
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Evaluating the performance of various interpolation techniques on digital elevation models in highly dense forest vegetation environment (2024)
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