Document Type : Research Paper
Authors
- Leila Fazel Dehkordi 1
- Hossein Azarnivand 2
- Mohammad Ali Zare Chahouki 3
- Farhad Mahmoudi Kohan 4
- Shahram Khalighi Sigaroudi 5
1 Ph.D. Graduate of Rangeland Management, Faculty of Natural Resources, University of Tehran, Karaj, I.R. Iran
2 Professor, Faculty of Natural Resources, University of Tehran, Karaj, I.R. Iran
3 Associate Professor, Faculty of Natural Resources, University of Tehran, Karaj, I.R. Iran
4 M.Sc. Graduate of Remote Sensing, University of Kerman, I.R. Iran
5 Assistant Professor, Faculty of Natural Resources, University of Tehran, Karaj, I.R. Iran
Abstract
To identify an appropriate index for monitoring and evaluation of drought, rainfall data obtained
from meteorological stations of Ilam Province from 2000 to 2011 and MODIS satellite images with
16-day intervals were collected and processed. The Standardized Precipitation Index (SPI) was
calculated based on rainfall data; therefore, the rainfall data were used for measuring SPI and
satellite images were used for calculating NDVI. Also, the percentages of canopy cover in range
types were selected from the information of the National Evaluation of rangelands in different
climatic zones. The correlation between SPI and NDVI and also canopy cover and NDVI was
examined. The relationship between vegetation index (NDVI) and SPI was determined by
regression. The results of SPI showed that in 2000 a severe drought and in 2006 a medium wet
occurred in rangelands of Ilam Province. NDVI value variations have as well confirmed it. The
results showed that NDVI and life form (annual forb and annual grass) has the highest percentage of
correlation. Also examining of result showed that most correlation of SPI and NDVI was in 3 and 6-
months intervals. Evaluation of regression models performance in range types described that
models in 3 and 6- months intervals was suitable for monitoring drought. The result of regression
confirmed that NDVI was an appropriate index for monitoring and assessment of drought.
Keywords
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