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

UA Monticello primary UA Div. of Agriculture

Also affiliated: Birla Institute of Technology, Mesra (2022); Minzu University of China (2023); Misurata University (2022); University of Tripoli (2018–2022); University of Arkansas System (2023–2026); Shatt Al-Arab University College (2025); Omar Al-Mukhtar University (2022); Center for Solar Energy Research and Studies (2026); Ministry of Higher Education and Scientific Research (2024); Libyan Academy (2022–2026); Clemson University (2016–2021); Cranfield University (2022)

Faculty Researcher

14 h-index 102 pubs 884 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Hamdi A. Zurqani's research centers on the application of advanced geospatial technologies for environmental information science, land management, and conservation. His work investigates the integration of remote sensing, including sUAS/drones and satellite data, with machine learning algorithms to address challenges in land evaluation, pedology, and sustainable land management.

Zurqani has explored various applications of these technologies, such as estimating forest aboveground biomass, mapping agricultural irrigation, and quantifying forest canopy cover. His research also extends to detecting landscape degradation and change over time, with a focus on developing geographic information system models. He has contributed to understanding the role of soil diversity and ecosystem services, and has investigated the integration of soil information into land degradation analysis to support United Nations Sustainable Development Goals, specifically focusing on Land Degradation Neutrality.

Metrics

h-index: 14
Publications: 102
Citations: 884

Selected Publications

Cloud-Based Sub-Pixel Rangeland Monitoring Using Spectral Mixture Analysis and NDFI in Google Earth Engine (2026)

DOI OpenAlex
Multi-Year Random Forest-Based Evaluation of Gedi L4A Biomass Estimates in Mediterranean Rangelands Using Google Earth Engine (2026)

DOI OpenAlex
Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges (2026)

Scientific Reports DOI OpenAlex
Introducing the Visible–Infrared Salinity Index (VISI) for Soil Salinity Mapping Using Remote Sensing and Machine Learning (2026)

DOI OpenAlex
Assessing UAV imagery and high-resolution LiDAR for tree height estimation: The role of flight speed and image overlap (2026)

Science of Remote Sensing DOI OpenAlex
Teaching wetlands in a global context: Geospatial learning aligned with Ramsar Convention and United Nations (UN) Sustainable Development Goals (2026)

Wetlands Ecology and Management DOI OpenAlex
Improved wetlands analytics for achieving the goals of both the Ramsar Convention and the Kunming-Montreal Global Biodiversity Framework for wetlands monitoring (2026)

Wetlands Ecology and Management DOI OpenAlex
Tracking Mountain Degradation for the United Nations (UN) Sustainable Development Goals (SDGs) Using the State of Colorado (USA) as an Example (2026)

Earth DOI OpenAlex
Multi-sensor forest aboveground biomass estimation using GEDI, machine learning, and deep learning techniques (2025)

Advances in Space Research 1 citation DOI OpenAlex
Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery and Deep Learning (2025)

DOI OpenAlex
The Role of Soil Diversity (Pedodiversity) in the Kunming-Montreal Global Biodiversity Framework: Example of the Contiguous United States of America (USA) (2025)

Biosphere 2 citations DOI OpenAlex
Comparison of Supervised Machine Learning Algorithms for Extracting Tree Canopy Cover using High-Resolution Imagery and Google Earth Engine (2025)

DOI OpenAlex
Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR (2025)

DOI OpenAlex
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)

Earth 2 citations DOI OpenAlex
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)

Biosphere 4 citations DOI OpenAlex