Using The Normalized Difference Vegetation Index (NDVI) in Drought Assessing in The Eastern North Region in Syria


Abstract in English

Climate change is the major global challenge facing water resources managers because of its impacts on many life fields beginning with agriculture activities to economic - social regions. In this study, drought in the eastern north of Syria have been investigated (Hasake, Rakka, DerAzzor, Bokmal, Kameshli) using a set of data containing precipitation data for period from 2000 to 2010, and MODIS time series images for the same period. This study assure that 2008/2009 described as drought period in the study area, and the NDVI maps ,which we have, give us an idea about the vegetation status and patterns in the study area. The study clearly show that NDVI and 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. Results of this study verify needing to use this index (NDVI), along with precipitation data, in drought monitoring in the eastern north region of Syria. So that,. It would help managers in making decisions to face drought in this area.

References used

CHOPRA, P. Drought risk assessment using remote sensing and GIS, A case study in Gujarat, M. Sc. Thesis, Dept. of Geo-information Science and Earth Observation, ITC,2006, Netherlands
EASTMAN, J. R.;SANGERMANO, F.;GHIMIRE, B.;ZHU, H. L.;CHEN, H.; Neeti, N. Seasonal trend analysis of image time series. International Journal of Remote Sensing. 30,2009, 2721-2726
FENSHOLT, R.;PROUD, S. R. Evaluation of earth observation based on long term vegetation trends- comparing GIMMS and MODIS global NDVI time series. Remote sensing of Environment, 119,2012, 131-147

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