مخاطرات محیط طبیعی (Dec 2022)

Application of GEE in Dust Actual Sources Detection using Sentinel- 5 and Modis

  • Kamran Shayesteh,
  • Shiva Gharibi

DOI
https://doi.org/10.22111/jneh.2022.38729.1813
Journal volume & issue
Vol. 11, no. 34
pp. 1 – 16

Abstract

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Dust storms originate in many of the world’s drylands and may impact a wide range of negative effects on ecological, public health, and socio-economic issues. The phenomenon of dust is one of the most important environmental challenges nowadays. Therefore, Identifying the sources of dust storms is the first step to combating these devastating phenomena. Using satellite images is the most up-to-date method to identify dust sources. The present study aims to identify areas of dust generation potential in Hamadan province and the effective range. Modis and Sentinel-5 satellite imagery were used for the 2008-2019 and 2018-2020 study periods using GEE, respectively. Land-use maps, BSI, and MNDVI were considered useful indices to detect and monitor the dust generation centers. Classification of aerosol concentrations in three classes showed that the area of the first class (the highest concentration class) in Modis and Sentinel-5 images are 9875.1 and 7100.5 km2, respectively, which are Continuous polygons in Sentinel-5 and Scattered polygons in Modis images. By focusing on quantifying and overlapping land-use 2018 and actual dust centers, the results showed that most aerosols are concentrated in poor pastures and uncultivated lands in Sentinel-5 images and are concentrated in poor pastures and rainfed-agriculture in Madis images. The correlation coefficient between the two images is 81%. Finally, Sentinel-5 satellite imagery can be used for dust detecting and monitoring. To manage these actual dust sources, reducing bare soils, increasing vegetation covers, improving water-use efficiency in agriculture, and reducing the use of groundwater in Qahvand plain are recommended.

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