In this work, the drought-related assessment for the Chengalpattu region was used to compare the drought indicators, and the Vegetation-Condition-Index (VCI) was created employing the NDVI readings obtained from MODIS and AVHRR imagery from satellites. The samples of data compiled from the MODIS NDVI dataset. The samples have been subjected to physical parameters for drinking water quality analysis as sample 40 (Group-1🡪20 and Group-2🡪20) with computation is done using G influence🡪.8 with alpha and beta-values🡪.06, 0.15 and a related threshold🡪96%. The VCI and NDVI, both of which have a sample size of 20 each, are used to analyze the drought condition. Compared to the NDVI value of 0.40, the seasonal rainfall index of 0.70 for the VCI is greater. With a implication level of 0.05, or p=0.021, the study is important gave better results in seasonal variation index when compared to NDVI index for analyzing the drought condition in Chengalpattu district.

Topics
Hydrology, Space instruments
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