Journal of Northern Agriculture ›› 2017, Vol. 45 ›› Issue (2): 109-109.

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Study on comparison of identification methods for spring wheat at Great Khingan western slope based on Landsat 80LI

Wulan, Wulantuya, BAO Junwei (Institute of Agricultural Economic and Information, Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031 ,China)   

  • Online:2017-04-20 Published:2017-04-20

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.

CLC Number: 

  • S127