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Drought is an extreme climatic situation where there is a water shortage arising due to subnormal rainfall, erratic distribution of precipitation, increased water supply demand, etc. India faced several years of drought in last six decades. As Indian agriculture is largely dependent on the monsoon, a slight change affects production as well as crop yield drastically. Statistical analysis is important for mapping the drought prone areas. Raichur district of the northern interior state of Karnataka is a drought-prone region where the economy is mainly based on agriculture. So, the uneven distribution of rainfall as well as the delay in the arrival of the southwest monsoon adversely affects the growth stage of crops which result in a decline in crop production. The effect of drought on the agriculture for the past decade has been analyzed using crop productivity data. When the production rate of Raichur district was studied for the years 1998 to 2009, it was seen that major crops like rice and jowar faced a decline in its production during the years 2002 and 2003, whereas bajra, maize, etc. mostly decreased in the year 2004. [ABSTRACT FROM AUTHOR]

The potential consequence of global climatic change caused the rise in temperature and precipitation decline, the aftermath of which has led to phenomenon like drought. As the agriculture is mainly dependent on the timely availability of water, delayed arrival of rainfall or decrease in the intensity of precipitation highly affects the growth of crops. If such situation persists for a longer period, the soil moisture content will be exploited completely and maturity of the crop will be stunted, finally adversely affecting the annual crop yield. In the present study, the capability of shortwave-infrared (SWIR) channels in detecting the agricultural crop stress in Raichur district of Karnataka state, India, using spectral vegetation indices namely Global Vegetation Moisture Index (GVMI) and Normalized Multi-band Drought Index (NMDI) has been analyzed using multi-temporal MODIS data. The vegetation health analysis by utilizing both indices were carried out from year 2002 to 2012 for the Kharif season, and it was seen that the year 2002 suffered major agricultural drought where the lower GVMI and NMDI values were covering the majority of the crop areas and in the year 2010 agricultural crop production was observed to be good. The average values of GVMI and NMDI for the years 2002 and 2010 were plotted with the average NDVI values of all months of both years and the results revealed that NDVI values were in concurrence with both NMDI and GVMI.