A Review on Rice Crop Identificationusing Vegetation Indices of Satellite Remote Sensing Images
Priyanka Soam
Department of Civil Engineering, Sharda University , IN
Satyaprakash
Department of Civil Engineering, Sharda University , IN
Keywords: Rice Crop Identification, Classification, Vegetation indices
Abstract
Rice is one of the world’s major staple foods and paddy rice field account for approximately 15% of the
world’s arable land. Rice has always been relevant to global food security and socio-economic stability. Rice field
areas have been the most traditional land use and the main economic variable that has historically shaped social
relations. It is the major food grain grown in almost all states in India mainly during Kharif season (June to October).
It is a heat and water favorite crop. Satellite remote sensing has been widely accepted as a powerful and effective tool
for identifying agriculture crops. Image classification uses the spectral information represented by digital number
(DN) in one or more spectral band and attempt to classify individual pixel based on this spectral information.
Vegetation indices calculated from satellite image give good presence of vegetation. The overview of this study is to
classify rice crop with different methods using vegetative indices of various spectral characteristics.
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