Using the sentinel-3B satellite in geospatial analysis of suspended aerosols in the kiev, Ukraine region

The use of images from the Sentinel-3B SYN satellite (surface reflectance and aerosol parameters over land) is currently one of the most advanced technologies utilized to identify atmospheric aerosol concentrations on a global scale. The general aim of this study is to analyze the evolution of aerosols in the atmosphere of the Kiev region in northern Ukraine during 2019, 2020, 2021 and 2022. Due to this study’s timing, both prior to and during the current military incursion into Ukraine, this study also evaluates the consequences of the invasion of the Russian army on the territory of Ukraine, in relation to the quantitative levels of aerosols present in the atmosphere. Satellite image data were modelled in SNAP software (Sentinel Application Platform). Using the JASP software (version 0.14.1.0), clusters with variations of T550 (Aerosol Optical Thickness) were generated. The Sentinel-3B SYN satellite images were made available by the European Space Agency (ESA), with moderate spatial resolution (>300 m), calibrated and normalized to an average standard of 0.83 µg/mg, with a maximum error of 6.62% in the 30 sampled points. Satellite image data were modelled in SNAP software. Using the JASP software (version 0.14.1.0), clusters with variations of T550 (Aerosol Optical Thickness) were generated. The results show variations in the concentration of T550 in different periods, revealing that the military conflict between Russia and Ukraine directly influenced the dynamics of aerosol concentration, attributed to factors incompatible with environmental sustainability.

• Autores: Neckel, Alcindo; Santosh, M.; William Bodah, Brian; Stolfo Maculan, Laércio; Pinto, Diana; Korcelski, Cleiton; Carollo Toscan, Paloma; Pasa Cambrussi, Laura; Cezar Caino, Isadora; Dal Moro, Leila; Piccinato Junior, Dirceu; Tibério Cardoso, Grace; Oliveira de Almeida Silva, Caliane Christie; de Vargas Mores, Giana
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2022
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/12891
• Acceso en línea: https://hdl.handle.net/11323/12891; https://repositorio.cuc.edu.co/
• Palabra clave: Remote sensing; Atmospheric pollution; Aerosols; Geospatial analyses; Global scale
• Rights: openAccess
• License: Atribución 4.0 Internacional (CC BY 4.0)