Ndvi based crop response with lst and spi for vegetation quality analysis

Abstract

Drought, the influencing phenomenon which affects the overall environment in every aspect. It is classified into various types since it is applied to a various sector like agricultural, meteorological and hydrological sectors. Agricultural drought monitoring has a huge impact in the field of agriculture and it helps to better decision-making, which results in an increase in yield and prevents from losses. In this study, Standard Precipitation Index (SPI) and Land Surface Temperature (LST) has been analyzed for the Gingee river basin and their influence on different crop heath (by Normalized Difference Vegetation Index) has been identified by Correlation and regression for Pre-monsoon.