Date of Defense
16-2-2026 11:00 AM
Location
H1-1116
Document Type
Thesis Defense
Degree Name
Master of Science in Remote Sensing and Geographic Information Systems
College
CHSS
Department
Geography and Urban Sustainability
First Advisor
Dr. Nazmi Saleous
Keywords
Greenhouse Gases, Global Warming, Remote Sensing Techniques, Satellite Imagery, PRISMA, Hyperspectral, United Arab Emirates (UAE)
Abstract
Greenhouse gases is important for sustaining life on earth as well as in mitigating climate change. Methane (CH4) is considered as one of the most important critical gases for the global climate change and have significant influences on our life. Accordingly, the prediction of this greenhouse gas emissions is very important for avoiding the climate change effects and to maintain environmental sustainability. The objective of this study is to explore the potential applications for remote sensing to predict methane levels in the Earth’s atmosphere with a combination of local ground data and data from hyperspectral satellite imagery. By using hyperspectral satellite-based sensors, our aim is to improve air quality assessment in the United Arab Emirates (UAE) by providing accurate and exact predictions on one of the most important greenhouse gases. Analysis based on the developed method (spectral analysis and Multilayer Perceptron (MLP) deep leaning model) made it possible to estimate continuous methane release from natural, agricultural and industrial sources. In addition, this study demonstrates how remote sensing technologies can monitor greenhouse gas emissions on a certain area in the UAE. This can be very helpful for regulators, legislators, and environmental researchers who are trying to reduce the effects of climate change and encourage sustainable lifespan. The results and conclusions of this study will authorize the use of one of the climate research and environmental monitoring applications which is designed specifically for the use of the data from the Arab Satellite 813, an Earth-observation satellite with a hyperspectral imager that was launched in December 2025.
Included in
PREDICTION OF METHANE GAS BY USING HYPERSPECTRAL IMAGERIES AND REMOTE SENSING TECHNIQUES
H1-1116
Greenhouse gases is important for sustaining life on earth as well as in mitigating climate change. Methane (CH4) is considered as one of the most important critical gases for the global climate change and have significant influences on our life. Accordingly, the prediction of this greenhouse gas emissions is very important for avoiding the climate change effects and to maintain environmental sustainability. The objective of this study is to explore the potential applications for remote sensing to predict methane levels in the Earth’s atmosphere with a combination of local ground data and data from hyperspectral satellite imagery. By using hyperspectral satellite-based sensors, our aim is to improve air quality assessment in the United Arab Emirates (UAE) by providing accurate and exact predictions on one of the most important greenhouse gases. Analysis based on the developed method (spectral analysis and Multilayer Perceptron (MLP) deep leaning model) made it possible to estimate continuous methane release from natural, agricultural and industrial sources. In addition, this study demonstrates how remote sensing technologies can monitor greenhouse gas emissions on a certain area in the UAE. This can be very helpful for regulators, legislators, and environmental researchers who are trying to reduce the effects of climate change and encourage sustainable lifespan. The results and conclusions of this study will authorize the use of one of the climate research and environmental monitoring applications which is designed specifically for the use of the data from the Arab Satellite 813, an Earth-observation satellite with a hyperspectral imager that was launched in December 2025.