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All Journal African Multidisciplinary Journal of Sciences and Artificial Intelligence Kwaghe International Journal of Sciences and Technology
Auwal Garba
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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Satellite-Based Monitoring of Atmospheric Greenhouse Gases: A Real-Time Observation Auwal Garba; Zakari Aminu Zakari; Adamu Abdulkadir; Kinga Muhammad Bah; Anas Yusuf; Yainiya Yamta
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.7487

Abstract

To enhance our understanding of the sources and sinks of greenhouse gases (GHGs), particularly carbon dioxide and methane, it is vital to monitor their atmospheric concentrations in near real time and at high spatial resolution. This study proposes a novel approach involving a constellation of miniature satellites equipped with compact spectrometers possessing nanometer-scale spectral resolution. Climate change, one of the most pressing global challenges, exerts profound impacts across environmental, social, and economic domains. Effective monitoring and assessment are therefore essential to inform policy decisions and mitigate its consequences. Remote sensing technology has emerged as an indispensable tool in climate change research, offering the ability to observe, evaluate, and predict environmental changes on a global scale. By utilizing satellite imagery, aerial surveys, and other sensing methods, scientists and policymakers can collect robust datasets, monitor long-term climate trends, and make evidence-based decisions. The integration of miniaturized satellite spectrometers represents a significant advancement in the effort to improve the timeliness and accuracy of GHG monitoring.
Deforestation Monitoring and Carbon Sequestration Remote Sensing Application Abdulrashid Sabo; Auwal Garba; Upah Prince Godwin; Iliyasu Yusuf Dangauda; Zainab Tijjani Yero; Augustine David
Kwaghe International Journal of Sciences and Technology Vol 2 No 3 (2025): Kwaghe International Journal of Sciences and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/kijst.v2i3.7488

Abstract

Management regimes and geographical variations in potential forest productivity significantly influence the dynamics of carbon sources and sinks. Spatially explicit data on land cover, stand age class, and harvesting practices can be effectively acquired through satellite remote sensing. When combined with regional climate records, carbon-cycle process models can estimate potential production rates and associated decomposition processes. This integration of remote sensing and modeling enables the generation of spatially explicit information on carbon storage and flux. Using this approach, carbon flow between 1992 and 1997 was analyzed across two 165 km² regions in western Oregon: the West Cascades and the Coast Range. The West Cascades study area, predominantly composed of less-productive public lands, experienced minimal harvesting during the 1990s, with only 1% of its land base harvested between 1991 and 2000. In contrast, the Coast Range study area, largely managed for timber production on private lands, saw 17% of its land base harvested during the same period. Despite hosting a substantial proportion of young, highly productive stands that acted as carbon sinks, the Coast Range's mean annual harvest removals exceeded its mean annual net ecosystem production. Conversely, the West Cascades region functioned as a net carbon sink. The spatially and temporally explicit nature of this integrated approach allows for detailed identification of the mechanisms driving carbon flux across forested landscapes.
Co-Authors Abdulrashid Sabo Adamu Abdulkadir Anas Yusuf Augustine David Iliyasu Yusuf Dangauda Kinga Muhammad Bah Upah Prince Godwin Yainiya Yamta Zainab Tijjani Yero Zakari Aminu Zakari