Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data |
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| Authors: | C Bhuiyan RP Singh FN Kogan |
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| Institution: | aDepartment of Civil Engineering, Indian Institute of Technology, Kanpur 208016, India;bCentre for Earth Observing and Space Research, School of Computational Sciences, George Mason University, 4400 University Drive, MS 5C3, Fairfax, VA 22030-4444, USA;cNational Environmental Satellite Data and Information Service, National Oceanic and Atmospheric Administration, Camp Springs, MD, USA |
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| Abstract: | The hard-rock hilly Aravalli terrain of Rajasthan province of India suffers with frequent drought due to poor and delayed monsoon, abnormally high summer-temperature and insufficient water resources. In the present study, detailed analysis of meteorological and hydrological data of the Aravalli region has been carried out for the years 1984–2003. Standardised Precipitation Index (SPI) has been used to quantify the precipitation deficit. Standardised Water-Level Index (SWI) has been developed to assess ground-water recharge-deficit. Vegetative drought indices like Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) and Vegetation Health Index (VHI) have been computed using NDVI values obtained from Global Vegetation Index (GVI) and thermal channel data of NOAA AVHRR satellite. Detailed analyses of spatial and temporal drought dynamics during monsoon and non-monsoon seasons have been carried out through drought index maps generated in Geographic Information Systems (GIS) environment. Analysis and interpretation of these maps reveal that negative SPI anomalies not always correspond to drought. In the Aravalli region, aquifer-stress shifts its position time to time, and in certain pockets it is more frequent. In comparison to hydrological stress, vegetative stress in the Aravalli region is found to be slower to begin but quicker to withdraw. |
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| Keywords: | Drought Monsoon GIS SPI SWI AVHRR GVI NDVI VCI TCI VHI |
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