ASSESSING THE EFFICIENCY OF VEGETATION DROUGHT INDEX (VDI) AND TEMPERATURE DROUGHT INDEX (TDI) BASED ON SATELLITE IMAGES IN CENTRAL 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.

NIAZI Y.; TALEBI A.; MOKHTARI M.H.; VAZIFEDOUST M.

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

Journal Paper

Paper Information

Journal: Journal of Arid Biome Year:2017 | Volume:7 | Issue:1 Page(s): 79-94

Download Full-Text

Persian Verion

View:

1,037

Download:

Cites:

Information Journal Paper

Title

ASSESSING THE EFFICIENCY OF VEGETATION DROUGHT INDEX (VDI) AND TEMPERATURE DROUGHT INDEX (TDI) BASED ON SATELLITE IMAGES IN CENTRAL IRAN

Author(s)

NIAZI Y. | TALEBI A. | MOKHTARI M.H. | VAZIFEDOUST M. | Issue Writer Certificate

Keywords

DROUGHT MONITORINGQ2

VEGETATION DROUGHT INDEX (VDI)Q1

TEMPERATURE DROUGHT INDEX (TDI)Q1

REMOTE SENSINGQ2

CENTRAL IRANQ1

Abstract

Increasing of temperature and changing in precipitation patterns, leads to extreme climate events such as drought which drastically impact on agricultural, ecological and socio-economic sectores. Knowledge about the timing, severity and extent of drought can aid planning and decision-making. Drought indices derived from in-situ meteorological data have coarse spatial and temporal resolutions. Thus, obtaining a real-time drought condition over a large area is difficult. Therefore, drought indices which is derived from remote-sensing data, has been widely used for DROUGHT MONITORING. In this study, two new drought indices, Vegetation Drought Index (VDI) and Temperature Drought Index (TDI) derived from REMOTE SENSING data are evaluated based on the Standard Precipitation Index (SPI) derived from in-situ meteorological data. The data included the MODIS sensor images from Terra satellite for the 2001 -2004 and rainfalls data from 50 synoptic stations in CENTRAL IRAN. Accuracy of the two drought indices based on satellite data carried out using evaluation criteria of R and RMSE in 95% confidence levels compared with drought spatial distribution map of the SPI based on rainfalls monthly data. Results indicate significant correlation between VDI (0.69) and TDI (0.66) indices with SPI index. Thus, the drought indices based on REMOTE SENSING data could well use in drought early warning systems.

Cites

No record.

References

No record.

Cite

APA: Copy

NIAZI, Y., TALEBI, A., MOKHTARI, M.H., & VAZIFEDOUST, M.. (2017). ASSESSING THE EFFICIENCY OF VEGETATION DROUGHT INDEX (VDI) AND TEMPERATURE DROUGHT INDEX (TDI) BASED ON SATELLITE IMAGES IN CENTRAL IRAN. ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, 7(1 ), 79-94. SID. https://sid.ir/paper/199749/en

Vancouver: Copy

NIAZI Y., TALEBI A., MOKHTARI M.H., VAZIFEDOUST M.. ASSESSING THE EFFICIENCY OF VEGETATION DROUGHT INDEX (VDI) AND TEMPERATURE DROUGHT INDEX (TDI) BASED ON SATELLITE IMAGES IN CENTRAL IRAN. ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL[Internet]. 2017;7(1 ):79-94. Available from: https://sid.ir/paper/199749/en

IEEE: Copy

Y. NIAZI, A. TALEBI, M.H. MOKHTARI, and M. VAZIFEDOUST, “ASSESSING THE EFFICIENCY OF VEGETATION DROUGHT INDEX (VDI) AND TEMPERATURE DROUGHT INDEX (TDI) BASED ON SATELLITE IMAGES IN CENTRAL IRAN,” ARID BIOM SCIENTIFIC AND RESEARCH JOURNAL, vol. 7, no. 1 , pp. 79–94, 2017, [Online]. Available: https://sid.ir/paper/199749/en

Related Journal Papers