Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
H
Hamdi A. Zurqani
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor of Geospatial Science in Natural Resource Management and Conservation
Also affiliated: University of Tripoli (2018–2021); University of Arkansas System (2023–2026); Ministry of Higher Education and Scientific Research (2024); Wadi Alshatti University (2025); South Carolina Water Resources Center (2020–2021); Clemson University (2016–2021); Cranfield University (2022)
14 h-index
108 pubs
901 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Hamdi A. Zurqani's research investigates the application of advanced geospatial technologies for environmental analysis and natural resource management. His work utilizes remote sensing, small unmanned aerial systems (sUAS/drones), and geographic information system (GIS) models to study land use, land evaluation, and landscape degradation. Zurqani has published on topics including geospatial analysis of land use change in river basins, mapping urbanization trends in forested areas, and evaluating the integrity of forested riparian buffers using LiDAR data.
His research also extends to soil science, exploring soil diversity (pedodiversity) and its relationship with ecosystem services, including a review of Libyan soil databases within an ecosystem services framework. Zurqani applies machine learning algorithms and multi-source data, such as GEDI LiDAR and satellite imagery, for estimating forest aboveground biomass and assessing forest canopy cover. He has also investigated methods for mapping and quantifying agricultural irrigation in diverse landscapes.
Zurqani holds a h-index of 14 with over 100 publications and 890 citations. He has collaborated with researchers at the University of Arkansas at Monticello, including Shadia A. Alzurqani, Prajwol Babu Subedi, Don White, and Kathleen A. Bridges.
Metrics
- h-index: 14
- Publications: 108
- Citations: 901
Positions
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Assistant Professor of Geospatial Science in Natural Resource Management and Conservation 2021–presentUniversity of Arkansas at Monticello ORCID
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Assistant Professor of Geospatial Science in Natural Resource Management and Conservation publications 2021–2026Arkansas Agricultural Experiment Station ORCID
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Research Associate 2020–2021Clemson University ORCID
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Research Assistant 2015–2019Clemson University Forestry and Environmental Conservation (FEC) ORCID
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Assistant Lecturer 2013–2019Faculty of Agriculture, University of Tripoli Soil and Water Sciences ORCID
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GIS Engineer 2010–2011Authority for Investment of Jabel Al-Hasawna – Al-Jafarah Water System of the Man Made River Geographic Information System (GIS) ORCID
Selected Publications
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Cloud-Based Sub-Pixel Rangeland Monitoring Using Spectral Mixture Analysis and NDFI in Google Earth Engine (2026)
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Multi-Year Random Forest-Based Evaluation of Gedi L4A Biomass Estimates in Mediterranean Rangelands Using Google Earth Engine (2026)
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Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges (2026)
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Introducing the Visible–Infrared Salinity Index (VISI) for Soil Salinity Mapping Using Remote Sensing and Machine Learning (2026)
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Assessing UAV imagery and high-resolution LiDAR for tree height estimation: The role of flight speed and image overlap (2026)
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Teaching wetlands in a global context: Geospatial learning aligned with Ramsar Convention and United Nations (UN) Sustainable Development Goals (2026)
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Improved wetlands analytics for achieving the goals of both the Ramsar Convention and the Kunming-Montreal Global Biodiversity Framework for wetlands monitoring (2026)
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Tracking Mountain Degradation for the United Nations (UN) Sustainable Development Goals (SDGs) Using the State of Colorado (USA) as an Example (2026)
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Multi-sensor forest aboveground biomass estimation using GEDI, machine learning, and deep learning techniques (2025)
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Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery and Deep Learning (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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Comparison of Supervised Machine Learning Algorithms for Extracting Tree Canopy Cover using High-Resolution Imagery and Google Earth Engine (2025)
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Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR (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)
Collaboration Network
Top Collaborators
Christopher J. Post
Clemson University (US)
29 shared publications
- Mapping and quantifying agricultural irrigation in heterogeneous landscapes using Google Earth Engine
- Opportunities for Monitoring Soil and Land Development to Support United Nations (UN) Sustainable Development Goals (SDGs): A Case Study of the United States of America (USA)
- 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)
- Evaluation of Riparian Tree Cover and Shading in the Chauga River Watershed Using LiDAR and Deep Learning Land Cover Classification
- Land Cover Change and Soil Carbon Regulating Ecosystem Services in the State of South Carolina, USA
Showing 5 of 29 shared publications
Elena A. Mikhailova
Clemson University (US)
27 shared publications
- Opportunities for Monitoring Soil and Land Development to Support United Nations (UN) Sustainable Development Goals (SDGs): A Case Study of the United States of America (USA)
- 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)
- Evaluation of Riparian Tree Cover and Shading in the Chauga River Watershed Using LiDAR and Deep Learning Land Cover Classification
- Land Cover Change and Soil Carbon Regulating Ecosystem Services in the State of South Carolina, USA
- Teaching Field Data Crowdsourcing Using a GPS-Enabled Cellphone Application: Soil Erosion by Water as a Case Study
Showing 5 of 27 shared publications
Lili Lin
Minnan Normal University (CN)
24 shared publications
- Opportunities for Monitoring Soil and Land Development to Support United Nations (UN) Sustainable Development Goals (SDGs): A Case Study of the United States of America (USA)
- 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)
- Land Cover Change and Soil Carbon Regulating Ecosystem Services in the State of South Carolina, USA
- Enhancing the Definitions of Climate-Change Loss and Damage Based on Land Conversion in Florida, U.S.A.
- 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)
Showing 5 of 24 shared publications
Zhenbang Hao
Zhangzhou Vocational and Technical College (CN)
24 shared publications
- Opportunities for Monitoring Soil and Land Development to Support United Nations (UN) Sustainable Development Goals (SDGs): A Case Study of the United States of America (USA)
- 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)
- Land Cover Change and Soil Carbon Regulating Ecosystem Services in the State of South Carolina, USA
- Enhancing the Definitions of Climate-Change Loss and Damage Based on Land Conversion in Florida, U.S.A.
- 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)
Showing 5 of 24 shared publications
Mark A. Schlautman
Clemson University (US)
24 shared publications
- Opportunities for Monitoring Soil and Land Development to Support United Nations (UN) Sustainable Development Goals (SDGs): A Case Study of the United States of America (USA)
- 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)
- Land Cover Change and Soil Carbon Regulating Ecosystem Services in the State of South Carolina, USA
- Enhancing the Definitions of Climate-Change Loss and Damage Based on Land Conversion in Florida, U.S.A.
- 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)
Showing 5 of 24 shared publications
Gregory C. Post
Clemson University (US)
16 shared publications
- Land Cover Change and Soil Carbon Regulating Ecosystem Services in the State of South Carolina, USA
- Enhancing the Definitions of Climate-Change Loss and Damage Based on Land Conversion in Florida, U.S.A.
- 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)
- Delaware’s Climate Action Plan: Omission of Source Attribution from Land Conversion Emissions
- Contribution of Land Cover Conversions to Connecticut (USA) Carbon Footprint
Showing 5 of 16 shared publications
George B. Shepherd
Emory University (US)
15 shared publications
- Opportunities for Monitoring Soil and Land Development to Support United Nations (UN) Sustainable Development Goals (SDGs): A Case Study of the United States of America (USA)
- 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)
- Enhancing the Definitions of Climate-Change Loss and Damage Based on Land Conversion in Florida, U.S.A.
- 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)
- Net-Zero Target and Emissions from Land Conversions: A Case Study of Maryland’s Climate Solutions Now Act
Showing 5 of 15 shared publications
Abdulsalam Al-Bukhari
Omar Al-Mukhtar University (LY)
9 shared publications
- Geospatial Mapping and Analysis of the 2019 Flood Disaster Extent and Impact in the City of Ghat in Southwestern Libya Using Google Earth Engine and Deep Learning Technique
- An Overview of Flood Hazards in Libya: Impacts and Required Actions
- Application of Remote Sensing and GIS in Land Cover/Land Use Mapping and Change Detection Using Google Earth Engine Platform: A Case Study in Northwestern Libya
- Spatial Estimation of Surface Soil Texture Using Machine Learning and Google Earth Engine
- Cloud-Based Soil Loss Assessment in Northeastern Libya Using the Revised Universal Soil Loss Equation (RUSLE) and Google Earth Engine Platform
Showing 5 of 9 shared publications
Mhi Eldin M. Alkhboli
Ministry of Higher Education and Scientific Research (LY)
5 shared publications
- An Overview of Flood Hazards in Libya: Impacts and Required Actions
- Cloud-Based Soil Loss Assessment in Northeastern Libya Using the Revised Universal Soil Loss Equation (RUSLE) and Google Earth Engine Platform
- Rainwater Harvesting in Libya: Sustainable Solutions for Water Scarcity
- Multi-Year Random Forest-Based Evaluation of Gedi L4A Biomass Estimates in Mediterranean Rangelands Using Google Earth Engine
- Cloud-Based Sub-Pixel Rangeland Monitoring Using Spectral Mixture Analysis and NDFI in Google Earth Engine
Prajwol Babu Subedi
University of Arkansas at Monticello
5 shared publications
In database
- Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery, Machine Learning, and Google Earth Engine
- Multi-sensor forest aboveground biomass estimation using GEDI, machine learning, and deep learning techniques
- Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR
- Comparison of Supervised Machine Learning Algorithms for Extracting Tree Canopy Cover using High-Resolution Imagery and Google Earth Engine
- Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery and Deep Learning
Segun M. Adedapo
University of Arkansas at Monticello (US)
4 shared publications
- Evaluating the performance of various interpolation techniques on digital elevation models in highly dense forest vegetation environment
- Development of Digital Terrain Model Under High Dense Forest Cover Using USGS and Drone Lidar Data
- Early Detection of Pine Needle Diseases in Southeast US Forests: A Deep Learning Approach Using UAV Imagery
- Applications Of Machine Learning Techniques In Predicting Selected Soil Properties In Lower Mississippi Alluvial Valley Green Tree Reservoir
Shadia A. Alzurqani
University of Arkansas at Monticello
3 shared publications
In database
- Google Earth Engine application for mapping and monitoring drought patterns and trends: A case study in Arkansas, USA
- An Overview of Flood Hazards in Libya: Impacts and Required Actions
- Mapping and Monitoring the Spatial and Temporal Variation of Drought and Its Impact on Vegetation Cover in Arkansas, USA
Michael A. Blazier
University of Arkansas at Monticello
3 shared publications
In database
- Early Detection of Pine Needle Diseases in Southeast US Forests: A Deep Learning Approach Using UAV Imagery
- Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR
- Comparison of Supervised Machine Learning Algorithms for Extracting Tree Canopy Cover using High-Resolution Imagery and Google Earth Engine
Kyle Cunningham
Arkansas Department of Agriculture (US)
3 shared publications
- Early Detection of Pine Needle Diseases in Southeast US Forests: A Deep Learning Approach Using UAV Imagery
- Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR
- Comparison of Supervised Machine Learning Algorithms for Extracting Tree Canopy Cover using High-Resolution Imagery and Google Earth Engine
Davis G. Nelson
Clemson University (US)
3 shared publications
- 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)
- Enriching Earth Science Education with Direct and Proximal Remote Sensing of Soil Using a Mobile Geospatial Application
- Teaching wetlands in a global context: Geospatial learning aligned with Ramsar Convention and United Nations (UN) Sustainable Development Goals
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