Spectral Estimation of Nitrogen Status in Wheat Crops Using Remote Sensing
Published: 2018
Author(s) Name: Archana Nandibewoor, Pavitra Kini, Akash Konnur and Ravindra Hegadi |
Author(s) Affiliation: Research & Development Center, Bharathiar University, Coimbatore, Tamil Nadu, India.
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Abstract
Remote sensing is the method of acquiring and recording of information about an object without the direct contact. Hyper spectral imaging is the technique to collect and process the information in a narrow and continuous spectral band that was obtained over the electromagnetic spectrum. Hyper spectral satellite data of wheat crop was taken for this study from Airborne Visible Infrared Imaging Spectrometer (AVIRIS) sensor with appropriate longitudes and latitudes from earth explorer site. The vegetation indices used for this study are Normalized Difference Vegetation Index (NDVI) and Vegetation Index Green (VIG). The estimation of these indices has been done on the first derivative of the reflectance obtained from the field. The Protein and Nitrogen values were calculated using satellite data and these values were correlated with experimental analysis using Kjeldahl method.
Keywords: AVIRIS, Hyperspectral satellite data, Kjeldahl method, NDVI, VIG.
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