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Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image

Remote sensing (Basel, Switzerland), 2014, Vol.6 (5), p.3611-3623 [Peer Reviewed Journal]

Copyright MDPI AG 2014 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs6053611

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  • Title:
    Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image
  • Author: Yuan, Lin ; Zhang, Jingcheng ; Shi, Yeyin ; Nie, Chenwei ; Wei, Liguang ; Wang, Jihua
  • Subjects: artificial neural network ; Blumeria graminis ; China ; Classification ; Fungi ; Learning theory ; mahalanobis distance ; Mapping ; maximum likelihood classifier ; Neural networks ; powdery mildew ; Satellite imagery ; SPOT-6 ; Triticum aestivum ; Wheat ; winter wheat
  • Is Part Of: Remote sensing (Basel, Switzerland), 2014, Vol.6 (5), p.3611-3623
  • Description: Powdery mildew, caused by the fungus Blumeria graminis, is a major winter wheat disease in China. Accurate delineation of powdery mildew infestations is necessary for site-specific disease management. In this study, high-resolution multispectral imagery of a 25 km2 typical outbreak site in Shaanxi, China, taken by a newly-launched satellite, SPOT-6, was analyzed for mapping powdery mildew disease. Two regions with high representation were selected for conducting a field survey of powdery mildew. Three supervised classification methods-artificial neural network, mahalanobis distance, and maximum likelihood classifier-were implemented and compared for their performance on disease detection. The accuracy assessment showed that the ANN has the highest overall accuracy of 89%, following by MD and MLC with overall accuracies of 84% and 79%, respectively. These results indicated that the high-resolution multispectral imagery with proper classification techniques incorporated with the field investigation can be a useful tool for mapping powdery mildew in winter wheat.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2072-4292
    EISSN: 2072-4292
    DOI: 10.3390/rs6053611
  • Source: ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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