Volume 25, Issue 3 (Fall 2021)                   jwss 2021, 25(3): 145-158 | Back to browse issues page

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Jafari R, Sanati H. Identification of Dust Sources and Storms in the South of Kerman Province Using Remote Sensing Data. jwss 2021; 25 (3) :145-158
URL: http://jstnar.iut.ac.ir/article-1-4066-en.html
Isfahan University of Technology , reza.jafari@iut.ac.ir
Abstract:   (2111 Views)
The southern regions of Kerman Province have repeatedly encountered dust storms. Therefore, the objective of this study was to identify dust sources using effective parameters such as vegetation cover, land surface temperature, soil moisture, soil texture, and slope as well as to detect dust storms originating from these regions based on 31 MODIS images in 2016 and SRTM data. After normalizing parameters, the dust source map was prepared by fuzzy logic and assessed with an error matrix and available dust source map. Results showed that 30.5% of the study area was classified as a low source of dust, 39.55% as moderate, and 29.85% as severe-very severe. The overall accuracy of the produced map was about 70% and the producer and user accuracy of the severe-very severe class was more than 87%. The detection of dust storms originated from the identified dust sources also confirmed a crisis situation in the region. Due to the repeatability and continuity of obtained dust source map at pixel scale, it can be used to update available dust source maps and manage dust crisis in the region, properly.
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Type of Study: Research | Subject: Ggeneral
Received: 2020/08/26 | Accepted: 2020/12/21 | Published: 2021/12/1

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