Volume 6, Issue 4 (3-2018)                   2018, 6(4): 31-47 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mirahsani M, Salman Mahiny A, Soffianian A, Moddares R, Jafari R, Mohammadi J. Evaluation of Vegetation Supply Water Index through Time-Series Images of MODIS Products in Drought Monitoring over Gavkhuni Basin. Iranian Journal of Applied Ecology 2018; 6 (4) :31-47
URL: http://ijae.iut.ac.ir/article-1-854-en.html
Dept. of Environ. Sci., Faculty of Fisheries and Environ. Sci., Gorgan Univ. of Agric. Sci. and Natur. Resour., Gorgan, Iran.
Abstract:   (7290 Views)
Drought is one of the main factors of ecological potential stress due to the wide extension of the time scale and impact space. The performance of regional drought monitoring using the meteorological indicators is a challenge due to spatial distribution constraints. In present study, 168 time series images including NDVI and LST indices were used. Integrating these two indices, VSWI was used to assess near-real-time and spatial-temporal spatial drought monitoring in Gavkhoni basin during 2003 to 2014. The SPI was assigned as the basis and the feedback of satellite and meteorological indices was assessed using Pearson correlation test. The results of the study of the relationships between the mean annual values of the VSWI and SPI indices during the same period showed a value of 0.578. In order to study the significance of the indices correlation, a nonparametric Spearman correlation test was added to the study. In addition, the results of the spatio-temporal pattern of the annual VSWI, indicating a severe long-term drought in the southeastern parts of the Zayandehrud dam and the entire Gavkhoni wetland area. The adaptation of this map to the meteorological drought map indicates the efficiency of integrating NDVI and LST satellite indices in drought monitoring.
Full-Text [PDF 801 kb]   (2588 Downloads)    
Type of Study: Research | Subject: General

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Applied Ecology

Designed & Developed by : Yektaweb