Methods and algorithms for remote sensing of particulate pollution from space at regional level

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: All-Russian Conference "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2019

Год издания: 2020

Ключевые слова: Aerosol index, Aerosol optical depth, APS, MAIAC, MODIS, Particulate matter, Pollution, Remote sensing

Аннотация: Based on its measurements of the MODIS spectrometer installed on the TERRA and AQUA satellites, data on aerosol optical depth (AOD) with different spatial resolution are formed: 10, 3, 1 km. The relationship between AOT values measured using remote sensing and PM2.5 measured at automated observation posts (APS) was investigated. ItПоказать полностьюis shown that the data with a spatial resolution of 1 km make it possible to see dusty zones inside the city. Aerosol Index was used to take into account the contribution of external factors, such as smoke from fires, to the ecological situation of the city. This information can be used as an objective assessment of the environmental situation. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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Издание

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 2534

Номера страниц: 288-292

ISSN журнала: 16130073

Издатель: CEUR-WS

Персоны

  • Krasnoshchekov K.V. (Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation, Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation)
  • Yakubailik O.E. (Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation, Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)

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