Abstract: Using Landsat 80LI image and field survey data, combined with visual interpretation, ISODATA classification of unsupervised classification, maximum likelihood classification of supervised classification and object-oriented image classification, a preliminary study was conducted on spring wheat identification at farmland in Great Khingan western slope. The results showed the whole accuracy of classification accuracy in maximum likelihood, ISODATA and object-oriented image classification were 53.33% ,54.65%;~ 71.26% respectively; user accuracy of spring wheat in three methods were 60.00%, 61.29% and 83.33% respectively. The object-oriented image classification was better than ISODATA and maximum likelihood classification, and it would provide ideas for spring wheat identification in these areas.