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