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

被引:22
作者
Chen, X. [1 ]
Ma, J.
Qiao, H.
Cheng, D.
Xu, Y.
Zhao, Y.
机构
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Inst Plant Protect, Beijing 100094, Peoples R China
[3] Beijing Normal Univ, Beijing 100101, Peoples R China
[4] Plant Protect Stn Henan Prov, Zhengzhou 450002, Peoples R China
关键词
D O I
10.1080/01431160701620683
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
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.
引用
收藏
页码:5183 / 5189
页数:7
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