Abdullah Al Saim
Researcher
University of Arkansas at Fayetteville
unknown
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Biography and Research Information
OverviewAI-generated summary
Abdullah Al Saim's research focuses on the application of machine learning and data fusion techniques for environmental monitoring and resource management, with a particular emphasis on forest ecosystems in Arkansas. His work investigates the use of satellite imagery and advanced algorithms to estimate above-ground biomass, map tree species, and model wildfire susceptibility. Al Saim has published on these topics, including studies that utilize Google Earth Engine for large-scale data analysis. His recent publications explore the integration of multisensor satellite data with machine learning to enhance the accuracy and scope of forest monitoring efforts. He has also investigated spatio-temporal trends in air pollution related to wildfires using big data analyses.
Metrics
- h-index: 4
- Publications: 9
- Citations: 39
Selected Publications
- Machine Learning and Multisensor Data Fusion for Forest above Ground Biomass Estimation in Arkansas (2025) DOI
- Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach (2025) DOI
- Fusion-Based Approaches and Machine Learning Algorithms for Forest Monitoring: A Systematic Review (2025) DOI
- Enhancing Tree Species Mapping in Arkansas' Forests through Machine Learning and Satellite Data Fusion: A Google Earth Engine-Based Approach (2024) DOI
- Big data analyses for determining the spatio-temporal trends of air pollution due to wildfires in California using Google Earth Engine (2024) DOI
- Machine Learning for Modeling Wildfire Susceptibility at the State Level: An Example from Arkansas, USA (2022) DOI
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