北京市农林科学院机构知识库

Using high spatial resolution satellite imagery for mapping powdery mildew at a regional scale

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文献类型：外文期刊

作者： Yuan, Lin ¹ ; Pu, Ruiliang ⁴ ; Zhang, Jingcheng ² ; Wang, Jihua ³ ; Yang, Hao ³ ;

作者机构： 1.Zhejiang Univ Water Resources & Elect Power, Sch Informat Engn & Art & Design, Hangzhou 310018, Zhejiang, Peoples R China

2.Hangzhou Dianzi Univ, Coll Life Informat Sci & Instrument Engn, Hangzhou 310018, Zhejiang, Peoples R China

3.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

4.Univ S Florida, Sch Geosci, Tampa, FL 33620 USA

关键词： Powdery mildew;Winter wheat;Spectral angle mapping (SAM);SPOT-6

期刊名称：PRECISION AGRICULTURE （影响因子：5.385；五年影响因子：5.004 ）

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收录情况： SCI

摘要： 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 mapping 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 mapping method was developed based on a spectral angle mapping technique. By validating against a set of field survey data, an overall mapping 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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