Abstract
Efficient crop protection management requires timely detection of diseases. The rapid development of remote sensing technology provides a possibility of spatial continuous monitoring of crop diseases over a large area. In this study, to monitor powdery mildew in winter wheat in an area where a severe disease infection occurred, the capability of high resolution (6 m) multi-spectral satellite imagery, SPOT-6, in disease map** was assessed and validated using field survey data. Based on a rigorous feature selection process, five disease sensitive spectral features: green band, red band, normalized difference vegetation index, triangular vegetation index, and atmospherically-resistant vegetation index were selected from a group of candidate spectral features/variables. A spectral correction was processed on the selected features to eliminate possible baseline effect across different regions. Then, the disease map** method was developed based on a spectral angle map** technique. By validating against a set of field survey data, an overall map** accuracy of 78 % and kappa coefficient of 0.55 were achieved. Such a moderate but practically acceptable accuracy suggests that the high resolution multi-spectral satellite image data would be of great potential in crop disease monitoring.
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Acknowledgments
This work was subsidized by National Natural Science Foundation of China (41301476), Bei**g Nova Programme, China (Z151100000315059), and UK Newton project entitled “A system to improve the rational use of pesticides against locusts”. The authors are grateful to Mr. Weiguo Li, Ms. Hong Chang for their helps in field data collection.
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Yuan, L., Pu, R., Zhang, J. et al. Using high spatial resolution satellite imagery for map** powdery mildew at a regional scale. Precision Agric 17, 332–348 (2016). https://doi.org/10.1007/s11119-015-9421-x
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DOI: https://doi.org/10.1007/s11119-015-9421-x