Estimation Of Chlorophyll Content In Crop Using Multispectral Satellite Imagery
Journal: International Journal of Scientific & Technology Research (Vol.6, No. 8)Publication Date: 2017-08-15
Authors : Archana Nandibewoor; Shweta Muddebihal; Ravindra Hegadi;
Page : 351-354
Keywords : Chlorophyll; DMSO; FCM; Multispectral Satellite data; NDVI; Regression Algorithm; Spectral bands.;
Abstract
These Chlorophyll is an essential element in plants. Variation in chlorophyll concentration has a direct impact on crops or plant productivity. Remote sensing is a technique for getting information about object without direct contact with it. Multi spectral image is a satellite image which includes limited spectral bands each with different wavelengths. In this paper the proposed work is used to find chlorophyll content in crop using multispectral image. Multispectral satellite data was taken from study area and this image is processed using image processing technique. In this Normalized Difference Vegetation Index NDVI is used. The Protein and Nitrogen values were calculated using satellite data and these values were correlated with experimental analysis using DMSO method.
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Last modified: 2017-10-22 19:56:52