Dust & Sand Source Identification Using Remotely Sensed Data: a comprehensive Approach

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.

RAYEGANI BEHZAD; Barati Ghahfarokhi Susan; Khoshnava Ahmad

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

Journal Paper

Paper Information

Journal: Journal of Range and Watershed Managment Year:2019 | Volume:72 | Issue:1 Page(s): 85-105

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Dust & Sand Source Identification Using Remotely Sensed Data: a comprehensive Approach

Author(s)

RAYEGANI BEHZAD | Barati Ghahfarokhi Susan | Khoshnava Ahmad | Issue Writer Certificate

Keywords

HYSPLIT

the time series of satellite data

Trend Analysis

Comprehensive Approach

MODIS

TMI

Abstract

The aim of this study is to develop a Comprehensive Approach to identifying dust & sand sources and to investigate their changes over a set period of time using remotely sensed data. For this purpose, data OLI data of Landsat 8 during the years 2013 through 2015 were used to make maps of vegetation cover, soil moisture and land cover sensibility to wind erosion. These maps were combined with geology and roughness by multi-criteria evaluation method to obtain a map of sand & dust source potential areas. In the second step, information of synoptic stations, meteorological and air pollution measurements was prepared, and using statistical analysis and with the help of MODIS data, the history of local events was obtained. These regions were integrated with the map of sand & dust source potential areas using the MCE method (WLC) and based on a stratified random sampling plan, susceptible sites of sand & dust sources were identified. In order to validate the identified areas and investigate the trend of their changes, the time series of satellite data and weather stations data were used and the trend of vegetation, soil moisture and surface temperature at the location of identified areas during a 15-year period were monitored. Validation results show high accuracy of identified areas and significant reduction trend of vegetation, soil moisture and surface temperature in the locations of identified sites during the study period

Cites

No record.

References

No record.

Cite

APA: Copy

RAYEGANI, BEHZAD, Barati Ghahfarokhi, Susan, & Khoshnava, Ahmad. (2019). Dust & Sand Source Identification Using Remotely Sensed Data: a comprehensive Approach. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 72(1 ), 85-105. SID. https://sid.ir/paper/784900/en

Vancouver: Copy

RAYEGANI BEHZAD, Barati Ghahfarokhi Susan, Khoshnava Ahmad. Dust & Sand Source Identification Using Remotely Sensed Data: a comprehensive Approach. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2019;72(1 ):85-105. Available from: https://sid.ir/paper/784900/en

IEEE: Copy

BEHZAD RAYEGANI, Susan Barati Ghahfarokhi, and Ahmad Khoshnava, “Dust & Sand Source Identification Using Remotely Sensed Data: a comprehensive Approach,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 72, no. 1 , pp. 85–105, 2019, [Online]. Available: https://sid.ir/paper/784900/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops