• Neha
• Sarvesh Palria

Drought is an insidious hazard of nature. Unlike rapid onset disasters, it tightens its grip over time, gradually destroying an area. As the Indian economy is primarily driven by agriculture, the effects of meteorological droughts are direct and can be large. Timely assessment of drought can alleviate its severe consequences. This study emphasis upon the use of space technology and geographic information system in drought risk assessment. In the present work, an effort has been made to assess, monitor and delineate risk areas facing agricultural as well as meteorological drought by using vegetation indices (NDVI and VHI) and rainfall data. Resultant risk map obtained by integrating agriculture and meteorological drought risk map indicates the areas facing a combined hazard. NDVI trend analysis has also been done to assess the long-term changes occurred as a result of irrigation, deforestation, and urbanization. It absolutely was evident from the study that western and central parts of Rajasthan are more prone to drought either agricultural or meteorological. The analysis shows that increasing irrigation facility within the area causes a major positive change in the vegetation. The results obtained provide objective information on incidence, severity level and persistence of drought conditions, which can be useful to the resource managers in optimally allocating limited resources.

Drought; NDVI; Remote Sensing

"ASSESSMENT OF DROUGHT EXTENT USING VEGETATION INDICES AND RAINFALL DATA: A CASE STUDY OF RAJASTHAN, INDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.761-769, July-2018, Available :http://www.jetir.org/papers/JETIR1807123.pdf

"ASSESSMENT OF DROUGHT EXTENT USING VEGETATION INDICES AND RAINFALL DATA: A CASE STUDY OF RAJASTHAN, INDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp761-769, July-2018, Available at : http://www.jetir.org/papers/JETIR1807123.pdf