[Using Remote Sensing in Drought Monitoring Case Study: The Eastern Region in Syria]
2014
Merhej,O.A
In this study, drought in the eastern region of Syria (Hasake, Rakka, DerAzzor, Bokmal & Kameshli) has been investigated using SPI, NDVI indices We used a set of data containing precipitation data for period from 1975 to 2010 to calculate Standardized Precipitation Index SPI, and MODIS time series images in April for period from 2000 to 2010 to calculate the Normalized Difference Vegetation Index NDVI. The NDVI maps give us an idea about the pattern and density of vegetation, and NDVI Anomaly show that 2000, 2008, 2009 described as drought period in the study area, the study clarify that NDVI and annual rainfall was found to be highly correlated in Rakka with P- Value= 0.003; and medium correlated in the other stations with P- Value 0.05.According to 6months SPI values, there were drought conditions in 2000, 2008, 2009 over the study area. The NDVI and SPI was found to be positive linear correlated in all stations. Also, risk map obtained by SPI indicates the areas facing drought. Results of this study verify needing to use this tools (NDVI), along with their correlation with (SPI) to identify areas with problem to formulate practical management decisions.
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