Spatial resolution analysis of TRMM satellite images to estimate meteorological drought index, case study: Iran

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.

KAZEMZADEH MAJID; AKBARI JAVAD

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

Journal Paper

Paper Information

Journal: WATERSHED ENGINEERING AND MANAGEMENT Year:2020 | Volume:11 | Issue:4 Page(s): 903-916

Download Full-Text

Persian Verion

View:

596

Download:

Cites:

Information Journal Paper

Title

Spatial resolution analysis of TRMM satellite images to estimate meteorological drought index, case study: Iran

Author(s)

KAZEMZADEH MAJID | AKBARI JAVAD | Issue Writer Certificate

Keywords

Drought frequencyQ1

Drought monitoringQ1

Error assessmentQ2

Remote sensingQ2

Spatial distributionQ1

Abstract

One of the most important last century challenges in the world was drought and monitoring and assessing drought severity and duration to combat and mitigate its impacts is very necessary. In recent decades, with developing of Remote sensing issues, satellite-based estimating drought with high spatial resolution and different time steps were widely used. Hence, the aim of this study was focused on the analyzing drought and error distribution of TRMM satellite data-based estimation with ground data over the period 1998 to 2014. In this regard, in order to assess the accuracy of meteorological drought index based on the TRMM satellite data, 41 synoptic stations were used in Iran. In this study, Error assessment criteria were included NSE, RMSE, ME, Bias and correlation coefficient and also the IDW interpolation method in ArcGIS 10. 3 was used for spatial analysis. Results of drought index showed that in terms of severity, Kerman, Bushehr, Kashmar, Ghazvin, Bojnurd, Kashan stations have suffered from at least one extreme status for 1998 to 2014 and in terms of frequency, the most frequent drought was in Karaj station. Results of spatial analysis of error criteria showed that the drought index estimated of TRMM satellite had the lower error in northeast of Iran (around Mashhad and Kashmar stations) and southwest of Iran (around Shahrkord, Esfahan, Yasouj, and Shiraz stations) while the most error was in central region of Iran (around Biarjomand, Tabass stations), respectively. In most areas of the country, drought index estimated by TRMM data had acceptable agreement with ground stations data. Calibrating the TRMM data with ground stations can be used for Drought monitoring in areas without stations for networks 0. 25*0. 25 latitude and longitude degrees.

Cites

No record.

References

No record.

Cite

APA: Copy

KAZEMZADEH, MAJID, & AKBARI, JAVAD. (2020). Spatial resolution analysis of TRMM satellite images to estimate meteorological drought index, case study: Iran. WATERSHED ENGINEERING AND MANAGEMENT, 11(4 ), 903-916. SID. https://sid.ir/paper/234837/en

Vancouver: Copy

KAZEMZADEH MAJID, AKBARI JAVAD. Spatial resolution analysis of TRMM satellite images to estimate meteorological drought index, case study: Iran. WATERSHED ENGINEERING AND MANAGEMENT[Internet]. 2020;11(4 ):903-916. Available from: https://sid.ir/paper/234837/en

IEEE: Copy

MAJID KAZEMZADEH, and JAVAD AKBARI, “Spatial resolution analysis of TRMM satellite images to estimate meteorological drought index, case study: Iran,” WATERSHED ENGINEERING AND MANAGEMENT, vol. 11, no. 4 , pp. 903–916, 2020, [Online]. Available: https://sid.ir/paper/234837/en

Related Journal Papers