Mapping of powdery mildew using multi-spectral HJ-CCD image in Beijing suburban area

文献类型： 外文期刊

第一作者： Yuan, Lin

作者： Yuan, Lin;Zhang, Jingcheng;Zhao, Jinling;Huang, Linsheng;Yang, Xiaodong;Wang, Jihua;Yuan, Lin;Zhang, Jingcheng;Wang, Jihua;Huang, Linsheng

作者机构：

关键词： Winter wheat;Powdery mildew;HJ-CCD;Spectral information divergence (SID);Spectral angle mapper (SAM)

期刊名称：OPTIK （ 影响因子：2.443； 五年影响因子：1.955 ）

ISSN： 0030-4026

年卷期： 2013 年 124 卷 21 期

页码：

收录情况： SCI

摘要： Powdery mildew is one of the most serious diseases, which has a significant impact on the production of winter wheat. As an effective alternative to traditional sampling methods, remote sensing can be a useful tool in disease detection. This study examines the potential of a moderate resolution multispectral satellite image in disease monitoring at regional scale. At the suburban area around Beijing, a large size ground survey sample (n=90) and the corresponding HJ-CCD image were acquired at the grain filling stage of winter wheat. A number of spectral features were found to be sensitive to powdery mildew through an independent t-test. Based on these spectral features, classification models were established using both spectral information divergence (SID) and spectral angle mapper (SAM), respectively. The results showed that the overall accuracies of disease identification and severity estimation were moderate. The estimation of normal and seriously infected samples yielded higher accuracies than slightly infected samples. The single phase HJ-CCD can only be used for locating the infected areas of powdery mildew, whereas is unable to discriminate the severity levels of disease. The presence of several stressors and disturbances other than disease is a possible reason of the unsatisfactory performance of disease monitoring models. Therefore, the integration of multi-phase onboard data and some relevant ancillary data is necessary to improve the accuracy and reliability of disease monitoring at regional scale. (C) 2013 Elsevier GmbH. All rights reserved.

分类号：

  • 相关文献

[1]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

[2]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

[3]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

[4]CHARACTERIZATION OF POWDERY MILDEW IN WINTER WHEAT USING MULTI-ANGULAR HYPERSPECTRAL MEASUREMENTS. Zhao, Jinling,Yuan, Lin,Zhang, Dongyan,Zhang, Jingcheng,Gu, Xiaohe,Huang, Linsheng,Zhang, Dongyan. 2013

[5]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

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

[7]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

[8]Evaluation of crop yield loss of floods based on water turbidity index with multi-temporal HJ-CCD images. Gu, Xiaohe,Xu, Peng,Wang, Lei,Wang, Xiuhui. 2015

[9]Maize recognition and accuracy evaluation with GF-1 WFV sensor data. Guo, Y.,Li, S. M.,Wu, X. H.,Cheng, Y. Z.,Wang, L. G.,Liu, T.,Zheng, G. Q.,Li, S. M.. 2015

[10]Mapping paddy biomass with multiple vegetation indexes by using multispectral remotely sensed image. Gu, Xiaohe,Wang, Yancang,Song, Xiaoyu,Xu, Xingang. 2016

[11]Molecular cloning, functional verification, and evolution of TmPm3, the powdery mildew resistance gene of Triticum monococcum L.. Zhao, C. Z.,Li, Y. H.,Dong, H. T.,Geng, M. M.,Liu, W. H.,Li, F.,Ni, Z. F.,Xie, C. J.,Sun, Q. X.,Zhao, C. Z.,Dong, H. T.,Geng, M. M.,Liu, W. H.,Li, F.,Ni, Z. F.,Xie, C. J.,Sun, Q. X.,Zhao, C. Z.,Wang, X. J.. 2016

[12]Two members of TaRLK family confer powdery mildew resistance in common wheat. Tingting Chen,Jin Xiao,Jun Xu,Wentao Wan,Bi Qin,Aizhong Cao,Wei Chen,Liping Xing,Chen Du,Xiquan Gao,Shouzhong Zhang,Ruiqi Zhang,Wenbiao Shen,Haiyan Wang,Xiue Wang. 2016

[13]Quantitative trait loci mapping of adult-plant resistance to powdery mildew in Chinese wheat cultivar Lumai 21. Caixia Lan,Xiaowen Ni,Jun Yan,Yong Zhang,Xianchun Xia,Xinmin Chen,Zhonghu He.

[14]Spectroscopic Leaf Level Detection of Powdery Mildew for Winter Wheat Using Continuous Wavelet Analysis. Zhang Jing-cheng,Yuan Lin,Wang Ji-hua,Huang Wen-jiang,Chen Li-ping,Zhang Dong-yan,Zhang Jing-cheng,Yuan Lin,Wang Ji-hua,Zhang Dong-yan,Huang Wen-jiang. 2012

[15]Reaction to powdery mildew and stripe rust in related species and landraces of wheat. He, Danxia,Li, Hongjie,Xu, Shichang,Duan, Xiayu,Zhou, Yilin,Li, Lihui. 2007

[16]Molecular Characterization of a New Wheat-Thinopyrum intermedium Translocation Line with Resistance to Powdery Mildew and Stripe Rust. Zhan, Haixian,Li, Guangrong,Pan, Zhihui,Yang, Zujun,Zhan, Haixian,Zhang, Xiaojun,Hu, Jin,Li, Xin,Qiao, Linyi,Guo, Huijuan,Chang, Zhijian,Jia, Juqing,Chang, Zhijian. 2015

[17]Identification of the resistance gene to powdery mildew in Chinese wheat landrace Baiyouyantiao. Feng Jing,Fan Jie-ru,Zhou Yi-lin,Xu Xiao-dan,Ma Zhan-hong,Liu Zhi-yong,Li Qiang. 2018

[18]Pathotypes and Genetic Diversity of Blumeria graminis f sp hordei in the Winter Barley Regions in China. Zhu Jing-huan,Wang Jun-mei,Jia Qiao-jun,Yang Jian-ming,Lin Feng,Hua Wei,Shang Yi,Zhu Jing-huan,Zhou Yi-jun,Zhou Yi-jun. 2010

[19]Detection of Wheat Powdery Mildew by Differentiating Background Factors using Hyperspectral Imaging. Zhang, Dongyan,Zhang, Lifu,Zhang, Dongyan,Wang, Xiu,Zhang, Dongyan,Wang, Xiu,Lin, Fenfang,Huang, Yanbo. 2016

[20]Molecular characterisation of the broad-spectrum resistance to powdery mildew conferred by the Stpk-V gene from the wild species Haynaldia villosa. Qian, C.,Cui, C.,Wang, X.,Zhou, C.,Hu, P.,Li, M.,Li, R.,Xiao, J.,Wang, X.,Chen, P.,Xing, L.,Cao, A.,Qian, C.. 2017

作者其他论文 更多>>

微信小程序