Identification of the best algorithm for dust detection using MODIS data

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.

KHEIRANDISH ZAHRA; BODAGH JAMALI JAVAD; RAYEGANI BEHZAD

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:2018 | Volume:7 | Issue:15 Page(s): 205-218

Download Full-Text

Persian Verion

View:

863

Download:

Cites:

Information Journal Paper

Title

Identification of the best algorithm for dust detection using MODIS data

Author(s)

KHEIRANDISH ZAHRA | BODAGH JAMALI JAVAD | RAYEGANI BEHZAD | Issue Writer Certificate

Keywords

MODISQ1

algorithm of dust detectionQ1

accuracy assessmentQ1

DUST RGBQ1

Abstract

Dust event is one of the atmospheric events of the world arid and semi-arid areas that had a significant increase in recent years and negative effects in different parts. In this study used MODIS data to identify and select the best algorithm for dust detection. For this purpose, three dust events of South West of Iran detected in 2012 using five different algorithms of dust detection including Ackerman BTD, Miller, dust index, TIIDI and DUST RGB methods, and methods compared. Studies show that methods of Ackerman BTD, Dust index, and Miller need to threshold regulation for each dust event; for this reason, the suitable threshold was determined for each dust event using histogram method and dust identified. In addition, TIIDI method could separate dust phenomenon from other complications on the surface of the earth but as well could not identify dust on water. In DUST RGB method as well dust identified from other complication. In addition results of images classification and accuracy assessment showed that in all three dust events, DUST RGB method has maximum total accuracy among of other methods. Therefore, based on the results of matrix error and accuracy assessment, DUST RGB method was chosen as the best algorithm for dust detection.

Cites

No record.

References

No record.

Cite

APA: Copy

KHEIRANDISH, ZAHRA, BODAGH JAMALI, JAVAD, & RAYEGANI, BEHZAD. (2018). Identification of the best algorithm for dust detection using MODIS data. JOURNAL OF NATURAL ENVIRONMENT HAZARDS, 7(15 ), 205-218. SID. https://sid.ir/paper/259134/en

Vancouver: Copy

KHEIRANDISH ZAHRA, BODAGH JAMALI JAVAD, RAYEGANI BEHZAD. Identification of the best algorithm for dust detection using MODIS data. JOURNAL OF NATURAL ENVIRONMENT HAZARDS[Internet]. 2018;7(15 ):205-218. Available from: https://sid.ir/paper/259134/en

IEEE: Copy

ZAHRA KHEIRANDISH, JAVAD BODAGH JAMALI, and BEHZAD RAYEGANI, “Identification of the best algorithm for dust detection using MODIS data,” JOURNAL OF NATURAL ENVIRONMENT HAZARDS, vol. 7, no. 15 , pp. 205–218, 2018, [Online]. Available: https://sid.ir/paper/259134/en

Related Journal Papers