Ali R. Alruzuq

About

Ali R. Alruzuq, Ph.D. (Assistant Professor)
I am looking for potential collaborators and a new position. Feedback on your work or something else, just let me know.
Skills:
Geospatial Science (GeoAI, GIS/Remote Sensing), Environmental Sciences, UAV/UAS, Geomorphology, Water Resources, and others. Please let me know if you would like my CV.

Employment

Employment history is unavailable.

Education

• Southern Illinois University Carbondale MS
• University of Florida MS

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• GeoAI-Based multi-model framework for spatiotemporal drought modeling in arid environments
  International Journal of Remote Sensing 2026 DOI: 10.1080/01431161.2026.2689555
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• Advancements in large floodplain inundation mapping: Integrated computational modeling and remote sensing techniques
  Energy Nexus 2026 DOI: 10.1016/j.nexus.2026.100650
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• Quantifying Land-Use Amplification of Hydrological Drought Using GRACE and Explainable Machine Learning Across Middle Eastern Basins
  2026 DOI: 10.2139/ssrn.6675824
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• Morphodynamics and riverbed elevation changes in the lower Apalachicola River: a study of large lowland river systems
  Acta Geophysica 2025 DOI: 10.1007/s11600-025-01744-w
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• Combining deep learning and machine learning techniques to track air pollution in relation to vegetation cover utilizing remotely sensed data
  Journal of Environmental Management 2025 DOI: 10.1016/j.jenvman.2025.124323
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• Evaluating Soil Erosion in Dehradun Using the RUSLE Model: Challenges, Impacts, and Policy Strategies for Effective Soil Conservation
  Remote Sensing for Environmental Monitoring 2025 DOI: 10.1007/978-981-96-5546-5_12
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• Machine learning algorithms of riverbed change and environments of the lower apalachicola river
  Discover Applied Sciences 2025 DOI: 10.1007/s42452-025-06810-y
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• A Comparative Assessment of Organic and Inorganic Farming Impact on Land Surface Temperature From 1991 to 2021 in the Decade of Punjab and Uttarakhand
  Himanshu Sahu, Raj Singh, Ujjwal Kumar +2 more
  Advances in Geographical and Environmental Sciences 2024 DOI: 10.1007/978-981-97-2879-4_13
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• Combining Deep Learning and Machine Learning Techniques to Track Air Pollution in Relation with Vegetation Cover Through Remote Sensing Data
  Ssrn 2024 DOI: 10.2139/ssrn.4846409
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• Damming consequences: Quantifying the effects on channel geometry and floodplain inundation
  Catena 2024 DOI: 10.1016/j.catena.2023.107634
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• Deforestation Pattern and Its Impacts on Tree Species Richness in Karbi Anglong District of Assam, India
  Saurabh Kumar, Raj Kumar Singh, Ali Alruzuq
  Advances in Geographical and Environmental Sciences 2024 DOI: 10.1007/978-981-97-2879-4_15
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• Machine Learning Algorithms of Riverbed Change and Environments of the Lower Apalachicola River
  Ssrn 2024 DOI: 10.2139/ssrn.4892954
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• Machine learning versus deep learning in land system science: a decision-making framework for effective land classification
  Frontiers in Remote Sensing 2024 DOI: 10.3389/frsen.2024.1374862
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• Recovery and Restoration of Disturbed Sand Bars of the Apalachicola River, Florida
  Southeastern Geographer 2024 DOI: 10.1353/sgo.00002
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• Analytical Hierarchy Process (AHP) Based on the Spatial Assessment of an Endangered Alpine Medicinal Herb Aconitum heterophyllum in the Western Himalayan Environment
  Arun Pratap Mishra, Naveen S Chandra, Juan James Mandy +3 more
  Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems 2023 DOI: 10.1007/978-3-031-19059-9_25
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• Socio-hydrology and vulnerability of levee systems along the lower Illinois River
  Annals of GIS 2023 DOI: 10.1080/19475683.2023.2166113
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• Combining water fraction and DEM-based methods to create a coastal flood map: A case study of hurricane harvey
  ISPRS International Journal of Geo Information 2019 DOI: 10.3390/ijgi8050231
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