Detecting infestation of take-all disease in wheat using Landsat Thematic Mapper imagery

  • Authors:

  • X. Chen;J. Ma;H. Qiao;D. Cheng;Y. Xu;Y. Zhao

  • Affiliations:

  • State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, Beijing 100101, PR Ch ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences, and Beijing Normal University, Beijing 100101, PR Ch ...;The Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100094, PR China;The Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100094, PR China;Plant Protection Station of Henan Province, Zhengzhou 450002, PR China;Plant Protection Station of Henan Province, Zhengzhou 450002, PR China

  • Venue:
  • International Journal of Remote Sensing
  • Year:
  • 2007

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Abstract

Take-all is an important root disease of wheat and has caused considerable decreases in crop yield in China. Although take-all is the most studied disease of any crop, there is little research on detecting the infestation of the disease using remote sensing imagery. In this Letter, the Normalized Difference Vegetation Index and Masking, Principal-Components Transformation, and Analysis techniques were used to detect the severe infestation of the take-all disease in wheat using Landsat Thematic Mapper imageries on 30 April and 16 May 2006. Results showed that the technique was simple and effective in the study areas, and could be applied to other wheat-planting regions with similar growth situations.