Investigating the Performance of BADI Index: An Improved Approach to Detect Dust Storms using MODIS Imagery in West of Middle East

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Arami Seyed Abdolhossein; OWNEGH MAJID; Behbahani Ali Mohammadian; AKBARI MEHRI; ZARASVANDI ALIREZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF NATURAL ENVIRONMENT HAZARDS Year:2020 | Volume:8 | Issue:22 Page(s): 75-94

Download Full-Text

Persian Verion

View:

283

Download:

Cites:

Information Journal Paper

Title

Investigating the Performance of BADI Index: An Improved Approach to Detect Dust Storms using MODIS Imagery in West of Middle East

Author(s)

Keywords

Dust stormsQ1

Dust StormQ1

MODISQ2

BTDQ1

AODQ2

West of Middle EastQ2

Abstract

Dust is one of the atmospheric events of arid and semi-arid regions of the world that has had a notable increase in a recent year and negative effects in different parts. MODIS imagery provides an acceptable data source for accurate and timely monitoring of Dust Storms/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Dust Storms. However, there are useful dust indices based on MODIS imagery. In this study, the following are used: an improved brightness temperature adjusted dust index by Compound the brightness temperatures of three thermal infrared MODIS bands including band 20, band 31 and band 32 to monitor six representative Dust Storms/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Dust Storms over the West of Middle East between 2000 and 2016. When the Dust Storm indices of MODIS including the brightness temperature difference index in bands 32 and 31 (BTD32-31) and the normalized difference dust index (NDDI) and BADI are compared together, the BADI index more accurately estimated the spatial density of Dust Storms/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Dust Storms in our study area. The regression analysis has been showing significant correlations between the BADI index and MODIS Deep Blue Aerosol Optical Depth values. For the Five Dust Storms/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Dust Storms, the determination coefficients (R2) of the regression between the BADI index and MODIS Deep Blue AOD values were 0. 44, 0. 48, 0. 67, 0. 53 and 0. 45 (P < 0. 01), respectively. Considering that BTD 32-31 and NDDI are two widely used indices to detect Dust Storm, we compared the results obtained using the BTD 32-31, NDDI and BADI for detection of a dust-storm event that occurred on 17 Jul 2016 in order to illustrate the advantages of the BADI. The BADI index with the standard density index of MODIS Deep Blue Aerosol Optical Depth had the statistically significant relationship at P ≤ 0. 01.

Cites

No record.

References

No record.

Cite

APA: Copy

Arami, Seyed Abdolhossein, OWNEGH, MAJID, Behbahani, Ali Mohammadian, AKBARI, MEHRI, & ZARASVANDI, ALIREZA. (2020). Investigating the Performance of BADI Index: An Improved Approach to Detect Dust Storms using MODIS Imagery in West of Middle East. JOURNAL OF NATURAL ENVIRONMENT HAZARDS, 8(22 ), 75-94. SID. https://sid.ir/paper/367419/en

Vancouver: Copy

Arami Seyed Abdolhossein, OWNEGH MAJID, Behbahani Ali Mohammadian, AKBARI MEHRI, ZARASVANDI ALIREZA. Investigating the Performance of BADI Index: An Improved Approach to Detect Dust Storms using MODIS Imagery in West of Middle East. JOURNAL OF NATURAL ENVIRONMENT HAZARDS[Internet]. 2020;8(22 ):75-94. Available from: https://sid.ir/paper/367419/en

IEEE: Copy

Seyed Abdolhossein Arami, MAJID OWNEGH, Ali Mohammadian Behbahani, MEHRI AKBARI, and ALIREZA ZARASVANDI, “Investigating the Performance of BADI Index: An Improved Approach to Detect Dust Storms using MODIS Imagery in West of Middle East,” JOURNAL OF NATURAL ENVIRONMENT HAZARDS, vol. 8, no. 22 , pp. 75–94, 2020, [Online]. Available: https://sid.ir/paper/367419/en

Related Journal Papers