Using modis aerosol optical depth to predict PM10 over al ain region, UAE

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

PM10 concentrations are essential for assessing air quality in arid areas. They are usually measured at air quality monitoring stations. The limited number of monitoring stations can make difficult to study significantly the spatial variability of PM10 over relatively large areas. This study aimed at evaluating the use of Aerosol Optical Depth derived from satellite data to estimate PM10 concentrations. The continuous coverage offered by remote sensing data helps to address the limitation encountered with the spatial distribution of relevant monitoring stations. In the current study we compared MODIS AOD at 550nm included in MCD19A2 and we established a regression equation between AOD and PM10. The use of daily AOD at 1km resolution helped establish regression with acceptable correlation coefficient. The regression equation is then used to create daily maps of estimated PM10 concentrations over the study area and helped assessing their variability.

Original languageEnglish
Pages (from-to)419-423
Number of pages5
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume43
Issue numberB3-2021
DOIs
Publication statusPublished - Jun 28 2021
Event2021 24th ISPRS Congress Commission III: Imaging Today, Foreseeing Tomorrow - Nice, France
Duration: Jul 5 2021Jul 9 2021

Keywords

  • Aerosol optical depth
  • Air quality
  • MODIS
  • Particulate matter
  • Regression
  • UAE.

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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