Authors :

S.K. Singh*, Sujay Dutta** and Nishith Dharaiya*

Author Address :

*Hemchandracharya North Gujarat University, Patan, Gujarat, Department of Life Science, ** Space Application Centre (ISRO), Ahmedabad, Gujarat

Abstract :

In this study, an attempt has been done to discriminate healthy and pest affected area using remote sensing based indices such as NDVI and LSWI. NDVI and LSWI profile of healthy and pest affected crop shows large difference. These differences not only confirmed the capability of remote sensing indices in detecting crop disease, but also demonstrated that the spectral indices based classification method can be effective tool to separate healthy and diseased crop. An attempt is made on identification of probable hot spots for the mealy bug pest concentration zones of cotton crop in large areas as a synoptic perspective for Sirsa district.

Keywords :

NDVI, LSWI, mealy bug, Severity Index and remote sensing