Role of middle infrared bands of Landsat thematic mapper in determining the classification accuracy of rice

Abstract

Accuracy of discriminating rice crop from other vegetation classes investigated using different band combinations of Landsat Thematic Mapper (TM) data over an area in Orissa state of India. Colour-infrared (CIR)aerial photographs of 1:18,000 scale were used to prepare base maps at 1:5,000 scale to identify training areas. A maximum likelihood classification of the training class pixels were done using three band combinations viz. TM 1234, TM 2345, TM 2347, Classification accuracy using different band combinations was computed from the error matrices of classified training class pixels. The results showed that the classification accuracy of rice was significantly greater in TM 2345 and TM 2347 band combinations than in TM 1234.