NO2 remote sensing and land use in the Pampas district

Authors

  • Julio Miguel Ángeles Suazo Escuela Profesional de Ingeniería Forestal y Ambiental, Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo, Perú. julioangeles@unat.edu.pe https://orcid.org/0000-0001-8327-9032
  • Esmila Yeime Chavarría Márquez Escuela Profesional de Ingeniería Forestal y Ambiental, Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo, Perú. esmilachavarria@unat.edu.pe https://orcid.org/0000-0002-1531-2694
  • Charles Frank Saldaña-Chafloque Escuela Profesional de Ingeniería Forestal y Ambiental, Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo, Perú. charlessaldana@unat.edu.pe https://orcid.org/0000-0001-9537-2680
  • Jairo Edson Gutiérrez-Collao Escuela Profesional de Ingeniería Forestal y Ambiental, Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo, Perú. jairo.gutierrez@unat.edu.pe https://orcid.org/0000-0001-8984-6245
  • Diana Orellana Reyes Escuela Profesional de Ingeniería Forestal y Ambiental, Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo, Perú. 71996021@unat.edu.pe https://orcid.org/0000-0002-2078-6392
  • Jack Pérez Hijar Escuela Profesional de Ingeniería Forestal y Ambiental, Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo, Perú. 72171728@unat.edu.pe https://orcid.org/0000-0002-7907-6934
  • Merly Chávez de la Torre Escuela Profesional de Ingeniería Forestal y Ambiental, Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo, Perú. 71383529@unat.edu.pe https://orcid.org/0000-0002-8543-7644

DOI:

https://doi.org/10.53287/mjtm9678ds57b

Keywords:

NO2, OMI, Pampas, remote sensing

Abstract

Nitrogen dioxide (NO2) is a pollutant produced by the vehicle fleet, which can be transformed into tropospheric ozone and is one of the causes of respiratory diseases. The research aims to evaluate the temporal variability of nitrogen dioxide obtained with the OMI sensor of the AURA satellite during the period 2020-2024. The methodology used is remote sensing techniques using the OMI sensor with a temporal resolution of 1 minute. It was obtained that the maximum NO2 values ​​are 20 umol m-2; also, the predominant land use in the Pampas district is agricultural crops and urban areas. Therefore, it is essential to propose environmental mitigation measures and counteract the effects of climate change at the local and regional levels. Likewise, it is important to implement air quality management strategies that adapt to seasonal variations, in particular the need to strengthen pollution control measures.

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Published

2025-08-26

How to Cite

Ángeles Suazo, J. M., Chavarría Márquez, E. Y., Saldaña-Chafloque, C. F., Gutiérrez-Collao, J. E., Orellana Reyes, D., Pérez Hijar, J., & Chávez de la Torre, M. (2025). NO2 remote sensing and land use in the Pampas district. Revista De Investigación E Innovación Agropecuaria Y De Recursos Naturales, 12(2), 67–75. https://doi.org/10.53287/mjtm9678ds57b

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Section

ARTÍCULOS ORIGINALES

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