DEVELOPMENT OF SOIL WETNESS DEFICIT INDEX (SWDI) USING MODIS SATELLITE 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.

KESHAVARZ M.R.; VAZIFEDOUST M.; ALIZADEH A.

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

Journal Paper

Paper Information

Journal: Iranian Journal of Irrigation and Drainage Year:2011 | Volume:4 | Issue:3 Page(s): 465-477

Download Full-Text

Persian Verion

View:

1,318

Download:

Cites:

Information Journal Paper

Title

DEVELOPMENT OF SOIL WETNESS DEFICIT INDEX (SWDI) USING MODIS SATELLITE DATA

Author(s)

KESHAVARZ M.R. | VAZIFEDOUST M. | ALIZADEH A. | Issue Writer Certificate

Keywords

DROUGHTQ2

MODISQ2

REMOTE SENSINGQ2

SOIL MOISTUREQ2

SOIL WETNESS DEFICIT INDEXQ2

Abstract

Due to the importance of SOIL MOISTURE in plants growth and biology interactions, it is considered as a key index of agricultural DROUGHT monitoring. In this research, to evaluate SOIL MOISTURE deviation as an indicator of agricultural DROUGHT, a SOIL WETNESS DEFICIT INDEX (SWDI) was developed using satellite data of vegetation index (NDVI) and land surface temperature (LST). For this purposes, 8-day-products of land surface reflectance (MOD09Q1) and LST (MOD11A2) derived from MODIS satellite data over Esfahan in the period of 2000- 01 (dry year) and 2004-05 (wet year) 8-day time step were ordered and downloaded from internet. The SWDI in each time step was determined based on 8-day-Soil Wetness Index (SWI) derived from application of a triangle space concept between LST and NDVI data. Using satellite data of LST and vegetation index NDVI, amount of water stress during each time step was estimated from a linear relation. The new developed DROUGHT index mapped well the spatial distribution of dry periods and their intensity in the agronomy year of 2000-01. The cumulative number of dry days (SWDI<0) in the period of 2000-01 was estimated as 184 days. The results confirmed also the existence of wet periods in the year 2004-05. After comparison of SWDI variations in two areas of irrigated and dry farming, the promising results were obtained. SWDI index has the capability of DROUGHT monitoring in different time scales.

Cites

No record.

References

No record.

Cite

APA: Copy

KESHAVARZ, M.R., VAZIFEDOUST, M., & ALIZADEH, A.. (2011). DEVELOPMENT OF SOIL WETNESS DEFICIT INDEX (SWDI) USING MODIS SATELLITE DATA. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 4(3), 465-477. SID. https://sid.ir/paper/131499/en

Vancouver: Copy

KESHAVARZ M.R., VAZIFEDOUST M., ALIZADEH A.. DEVELOPMENT OF SOIL WETNESS DEFICIT INDEX (SWDI) USING MODIS SATELLITE DATA. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2011;4(3):465-477. Available from: https://sid.ir/paper/131499/en

IEEE: Copy

M.R. KESHAVARZ, M. VAZIFEDOUST, and A. ALIZADEH, “DEVELOPMENT OF SOIL WETNESS DEFICIT INDEX (SWDI) USING MODIS SATELLITE DATA,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 4, no. 3, pp. 465–477, 2011, [Online]. Available: https://sid.ir/paper/131499/en

Related Journal Papers