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- Title
Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image.
- Authors
Lin Yuan; Jingcheng Zhang; Yeyin Shi; Chenwei Nie; Liguang Wei; Jihua Wang
- Abstract
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.
- Subjects
SHAANXI Sheng (China); POWDERY mildew diseases; WINTER wheat; REMOTE-sensing images; HIGH resolution imaging; WHEAT powdery mildew fungus; ERYSIPHE graminis; ARTIFICIAL neural networks
- Publication
Remote Sensing, 2014, Vol 6, Issue 5, p3611
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs6053611