CHARACTERIZATION OF POWDERY MILDEW IN WINTER WHEAT USING MULTI-ANGULAR HYPERSPECTRAL MEASUREMENTS

文献类型： 外文期刊

第一作者： Zhao, Jinling

作者： Zhao, Jinling;Yuan, Lin;Zhang, Dongyan;Zhang, Jingcheng;Gu, Xiaohe;Huang, Linsheng;Zhang, Dongyan

作者机构：

关键词： Hyperspectral remote sensing;Multi-angular spectral measurement;Powdery mildew;Sensitive wave bands;Winter wheat

期刊名称：2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

ISSN： 2153-6996

年卷期： 2013 年

页码：

收录情况： SCI

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 degrees, 45 degrees and 90 degrees). 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：

  • 相关文献

[1]Leaf Area Index Estimation Using Vegetation Indices Derived From Airborne Hyperspectral Images in Winter Wheat. Xie, Qiaoyun,Huang, Wenjiang,Liang, Dong,Huang, Linsheng,Zhang, Dongyan,Chen, Pengfei,Wu, Chaoyang,Yang, Guijun,Zhang, Jingcheng. 2014

[2]Band Depth Analysis and Partial Least Square Regression Based Winter Wheat Biomass Estimation Using Hyperspectral Measurements. Fu Yuan-yuan,Wang Ji-hua,Fu Yuan-yuan,Wang Ji-hua,Yang Gui-jun,Song Xiao-yu,Xu Xin-gang,Feng Hai-kuan,Fu Yuan-yuan,Wang Ji-hua,Yang Gui-jun,Song Xiao-yu,Xu Xin-gang,Feng Hai-kuan. 2013

[3]The Study of Winter Wheat Biomass Estimation Model Based on Hyperspectral Remote Sensing. Teng, Xiaowei,Dong, Yansheng,Teng, Xiaowei,Dong, Yansheng,Teng, Xiaowei,Dong, Yansheng,Teng, Xiaowei,Dong, Yansheng,Teng, Xiaowei,Meng, Lumin. 2016

[4]Evaluation of spectral indices and continuous wavelet analysis to quantify aphid infestation in wheat. Luo, Juhua,Huang, Wenjiang,Yuan, Lin,Zhao, Chunjiang,Zhang, Jingcheng,Zhao, Jinling,Du, Shizhou.

[5]Discrimination of yellow rust and powdery mildew in wheat at leaf level using spectral signatures. Yuan, Lin,Zhang, Jingcheng,Zhao, Jinling,Du, Shizhou,Huang, Wenjiang,Wang, Jihua. 2012

[6]New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases. Huang, Wenjiang,Guan, Qingsong,Guan, Qingsong,Zhao, Jinling,Liang, Dong,Huang, Linsheng,Zhang, Dongyan,Luo, Juhua,Zhang, Jingcheng. 2014

[7]Mapping of powdery mildew using multi-spectral HJ-CCD image in Beijing suburban area. Yuan, Lin,Zhang, Jingcheng,Zhao, Jinling,Huang, Linsheng,Yang, Xiaodong,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Wang, Jihua,Huang, Linsheng. 2013

[8]Comparison of conventional, flood irrigated, flat planting with furrow irrigated, raised bed planting for winter wheat in China. Fahong, W,Wang, X,Sayre, K. 2004

[9]Forecasting of Powdery Mildew disease with multi-sources of remote sensing information. Zhang, Jingcheng,Yuan, Lin,Nie, Chenwei,Wei, Liguang,Yang, Guijun,Zhang, Jingcheng,Yang, Guijun,Zhang, Jingcheng,Yang, Guijun,Zhang, Jingcheng,Yuan, Lin. 2014

[10]Using high spatial resolution satellite imagery for mapping powdery mildew at a regional scale. Yuan, Lin,Zhang, Jingcheng,Wang, Jihua,Yang, Hao,Pu, Ruiliang.

[11]Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image. Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Wang, Jihua,Shi, Yeyin. 2014

[12]Hyperspectral Discrimination and Response Characteristics of Stressed Rice Leaves Caused by Rice Leaf Folder. Liu, Zhanyu,Ding, Xiaodong,Zhou, Bin,Liu, Zhanyu,Cheng, Jia-an,Huang, Wenjiang,Li, Cunjun,Xu, Xingang,Shi, Jingjing. 2012

[13]Identifying Leaf-Scale Wheat Aphids Using the Near-Ground Hyperspectral Pushbroom Imaging Spectrometer. Zhao, Jinling,Zhang, Dongyan,Luo, Juhua,Wang, Dacheng,Huang, Wenjiang. 2012

[14]Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data. Kong, Weiping,Huang, Wenjiang,Zhou, Xianfeng,Kong, Weiping,Zhou, Xianfeng,Song, Xiaoyu,Casa, Raffaele. 2016

[15]Estimation of total suspended solids concentration by hyperspectral remote sensing in Liaodong Bay. Wang, Jingjing,Tian, Qingjiu. 2015

[16]Associating new spectral features from visible and near infrared regions with optimal combination principle to monitor leaf nitrogen concentration in barley. Xu Xin-Gang,Zhao Chun-Jiang,Wang Ji-Hua,Li Cun-Jun,Yang Xiao-Dong. 2013

[17]New Vegetation Index Fusing Visible-Infrared and Shortwave Infrared Spectral Feature for Winter Wheat LAI Retrieval. Li Xin-chuan,Xu Xin-gang,Jin Xiu-liang,Zhang Jing-cheng,Song Xiao-yu,Li Xin-chuan,Xu Xin-gang,Jin Xiu-liang,Zhang Jing-cheng,Song Xiao-yu,Li Xin-chuan,Bao Yan-song. 2013

[18]Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models. Yuan, Huanhuan,Yang, Guijun,Wang, Yanjie,Liu, Jiangang,Yu, Haiyang,Feng, Haikuan,Xu, Bo,Zhao, Xiaoqing,Yang, Xiaodong,Yuan, Huanhuan,Li, Changchun,Wang, Yanjie,Yuan, Huanhuan,Yang, Guijun,Liu, Jiangang,Feng, Haikuan,Yang, Xiaodong,Yang, Guijun,Yu, Haiyang,Xu, Bo,Zhao, Xiaoqing,Yang, Xiaodong. 2017

[19]A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements. Zhao, Feng,Guo, Yiqing,Verhoef, Wout,Gu, Xingfa,Liu, Liangyun,Yang, Guijun. 2014

[20]Research of Cotton Canopy Characteristic Information by Hyperspectral Remote Sensing Data. Qi Ya-qin,Lv Xin,Duan Zhen-yu. 2013

作者其他论文 更多>>

微信小程序