National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
The present study was carried out to assess the meteorological drought using Standardized Precipitation Index (SPI), agricultural drought using Normalized Difference Vegetation Index (NDVI) in Nuapada district of Odisha. SPI is a popular meteorological drought index which is designed to quantify the precipitation deficit for multiple time scales. NDVI is a vegetation index to represent agricultural drought based on remote sensing data. Comparison between SPI and NDVI was made to assess the potentiality of these indices to predict the actual drought condition a better way. The results indicated that there were mismatches between SPI and Odisha State Disaster Management Authority (OSDMA) drought information whereas the drought risk assessment based on NDVI values was much better correlated with the actually observed drought on ground. Hence, NDVI is found to be more suitable for effective agricultural drought prediction.
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