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dc.contributor.authorHossain, Afra
dc.date.accessioned2023-10-26T08:16:17Z
dc.date.available2023-10-26T08:16:17Z
dc.date.issued2023-10
dc.identifier.urihttps://ar.iub.edu.bd/handle/123456789/616
dc.description.abstractThe Sentinel-5P mission stands as a fundamental component of the European Union’s Copernicus Programme. Equipped with the advanced Tropospheric Monitoring Instrument (TROPOMI), this mission is designed to deliver complex atmospheric observations unparalleled in their detail and accuracy. The complexity of data produced by this mission present significant challenges in terms of processing and interpretation. Recognizing this challenge, our work presents a pipeline designed for the Sentinel-5P’s Level 2 data. This pipeline is not just a means of processing; it represents a comprehensive solution that covers the entire spectrum of tasks – from initial data acquisition to the final visualization. By utilizing the capabilities of the Cartopy, HARP, and Xarray library, the pipeline transforms raw, intricate data sets into visually compelling and scientifically insightful visualizations. A crucial component of this pipeline is its capability to seamlessly retrieve data from the Sentinel Satellite Data API. This ensures that the most recent and relevant datasets are always available to the researchers. But beyond this, the pipeline’s actual ability is showcased when it undertakes the task of converting Level 2 data to Level 3. This transition is vital for further detailed analyses and to ensure the data aligns with global standards for atmospheric research.en_US
dc.publisherIndependent University, Bangladeshen_US
dc.subjectsatelliteen_US
dc.subjectTROPOMIen_US
dc.subjectatmosphereen_US
dc.titleUnraveling Sentinel-5P Data Patterns: Advanced Pipeline for Comprehensive Atmospheric Analysisen_US
dc.typeArticleen_US


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    Research articles produced by the CSE department in the year 2023

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