DocumentCode :
3063830
Title :
Characterization of powdery mildew in winter wheat using multi-angular hyperspectral measurements
Author :
Jinling Zhao ; Lin Yuan ; Linsheng Huang ; Dongyan Zhang ; Jingcheng Zhang ; Xiaohe Gu
Author_Institution :
Beijing Res. Center for Inf. Technol. in Agric., Beijing Acad. of Agric. & Forestry Sci., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2821
Lastpage :
2824
Abstract :
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.
Keywords :
agricultural engineering; agriculture; crops; hyperspectral imaging; plant diseases; vegetation mapping; Blumeria graminis f. sp. tritici; crop diseases; hyperspectral reflectance; multiangular hyperspectral measurement; powdery mildew; wheat canopies; wheat vegetation; winter wheat; Agriculture; Diseases; Hyperspectral imaging; Reflectivity; Soil; Variable speed drives; Hyperspectral remote sensing; Multi-angular spectral measurement; Powdery mildew; Sensitive wave bands; Winter wheat;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723411
Filename :
6723411
Link To Document :
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