@article{89b3d4846f584f6d8933c8a8fc9b06f7,
title = "Quantifying Methane-Climate Interactions in Eastern Saudi Arabia Using Geospatial and Machine Learning Modeling",
keywords = "Atmospheric modeling, Climate, Climatic drivers, Humidity, Market research, Methane, Monitoring, Oils, Precipitation, Solar radiation, Spatial resolution, TROPOMI/Sentinel-5, eastern Saudi Arabia, Geographically weighted regression, Methane variability, Random forest modeling",
author = "Rahman, \{Md Masudur\} and Roman Shults and Arfan Arshad and Rajendran Sankaran and Thanh-Nhan-Duc Tran and Keshk, \{Hatem Magdy\} and Asif Raihan and Venkataraman Lakshmi and Rahman, \{Md. Mahfuzur\}",
year = "2026",
doi = "10.1109/JSTARS.2026.3668054",
language = "English",
volume = "19",
pages = "8504--8517",
journal = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",
issn = "1939-1404",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}