CHARACTERIZATION OF POWDERY MILDEW IN WINTER WHEAT USING MULTI-ANGULAR HYPERSPECTRAL MEASUREMENTS
文献类型： 会议论文
第一作者： Jinling Zhao
作者： Jinling Zhao 1 ; Lin Yuan 1 ; Linsheng Huang 2 ; Dongyan Zhang 1 ; Jingcheng Zhang 1 ; Xiaohe Gu 1 ;
作者机构： 1.Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences
2.Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University
关键词： Hyperspectral remote sensing;Multi-angular spectral measurement;Powdery mildew;Sensitive wave bands;Winter wheat
会议名称： IEEE International Geoscience and Remote Sensing Symposium
主办单位：
页码： 2821-2824
摘要： This study aims at characterizing wheat canopies caused by powdery mildew (Blumeria graminis f. sp. tritici) with multi-angular hyperspectral data. The filling stage (23 May, 2012) was chosen to achieve such a goal, considering that the disease can show distinctive symptoms during the months of May and June. A total of 37 sample plots were selected including 32 normal canopies and 5 diseased canopies with varied severity. To minimizing the soil background influences, multi-angular hyperspectral data were acquired at different view angles (0°, 45° and 90°). The results showed that the proportion of wheat vegetation and soil changed greatly and the hyperspectral reflectance values correspondingly changed. Consequently, the reflectance at different viewing angles showed great differences, but the curves had the same change trends. The results showed that, to accurately identify the spectral differences caused by powdery mildew, the optimal angle or a combination of several angles must be firstly found from multi-angular hyperspectral measurements.
分类号： TP7-53
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