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Paper Information

Journal:   PHYSICAL GEOGRAPHY RESEARCH QUARTERLY   SPRING 2014 , Volume 46 , Number 1; Page(s) 16 To 17.
 
Paper: 

A NEW METHOD FOR DROUGHT RISK ASSESSMENT BY INTEGRATING THE TRMM MONTHLY RAINFALL DATA AND THE TERRA/MODIS NDVI DATA IN FARS PROVINCE, IRAN

 
 
Author(s):  ERFANIAN MAHDI*, VAFAEI NASRIN, REZAIANZADEH MEHDI
 
* FACULTY OF NATURAL RESOURCES, URMIA UNIVERSITY
 
Abstract: 

Introduction: Drought monitoring and assessment is usually done through either ground observation or remote sensing. Due to having some limitations, gathering and analyzing ground observations are a time-consuming and expensive way to approach a precise drought monitoring and assessment. In contrast, remote sensing represents a fast and economic way of monitoring, but an applicable approach needs to be developed. To this end, using satellite sensor data which are continuously available provides cost-effective data for a better understanding of the region.
They can be used to detect the drought commencement, duration and magnitude. Tropical Rainfall Measuring Mission monthly data (TRMM-3B43) and Monthly Normalized Difference Vegetation Index (NDVI) data of the MODIS on Terra satellite are freely available for this objective. The main objectives of the present study, which was carried out in the Fars Province, Iran, were: 1. integrating the satellite data for mapping drought severity classes using the Standardized Precipitation Index (SPI) and the NDVI anomaly maps, 2. creating drought risk maps, 3. calculating the percentage of drought affected area by drought risk level, 4. showing the effectiveness of satellite derived drought indices as an indicator for drought assessment, and 5. identifying the most drought vulnerable areas of the surveyed region.

 
Keyword(s): DROUGHT, FARS, MODIS, NDVI ANOMALY, TRMM
 
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