Cotton vegetation condition monitoring using LSWI and NDVI

Abstract

This study aims to assess late-season agricultural drought in cotton growing Surendranagar district of Gujarat, India during Kharif cropping season 2015. Persistent abiotic (i.e. Moisture deficits and nutrient deficiency) during flowering and yield formation stage are stress referred to as late-season agricultural drought. Satellite-based indices like the Normalized Difference Vegetation Index and Land Surface Water Index from landsat-8 satellite data were analyzed. The analysis was carried out by comparing the satellite-derived indices with the previous normal years, and the assessments were made. The satellite-based indices clearly brought out the stress that crop endured during September, while LSWI indicated soil and crop water stress in early September. The result showed that NDVI and LSWI satellite based Vegetation indices which help to derived drought or stress affect cotton crop at critical growth stage very well.