Estimating severity level of cotton disease based on spcctral indicse of TM image

文献类型： 外文期刊

第一作者： Chen Bing

作者： Chen Bing;Li Shao-Kun;Wang Ke-Ru;Su Yi;Chen Jiang-Lu;Jin Xiu-Liang;Lv Yin-Liang;Diao Wan-Ying;Li Shao-Kun;Wang Ke-Ru;Chen Bing

作者机构：

关键词： Cotton;Disease severity level;TM image;Spectral indices;Estimation models

期刊名称：JOURNAL OF INFRARED AND MILLIMETER WAVES （ 影响因子：0.557； 五年影响因子：0.445 ）

ISSN： 1001-9014

年卷期： 2011 年 30 卷 5 期

页码：

收录情况： SCI

摘要： The cotton field infected by Verticillum wilt was investigated with both the multi-temporal TM images and the field survey simultaneously. A model of evaluating disease severity of the cotton was established by analyzing the correlation between spectral indices of TM image and severity level (SL) of the disease. The results indicated that with an increase of disease SLs, the values of spectral indices B2,B4,SATVI,OSAVI,MSAVI,TSAVI,SVNSWI,SNSWIa,SNSWIb,SVNI,DNSIa,DNSIb,NDSWIa,NDSWIb,RNSWIa,RNSWIb,DVNI,EVI,TVI,SAVI,DVI,NDVI,RVI and PVI declined slowly, B1, B3, B7 and RI increased gradually, NDGI increased at first and then decreased,while B5 exhibited a trend of decrease-increase with an increase of disease SLs. The SLs of disease were highly significantly positive correlated with the spectral indices values of B1,B3 and RI, highly significantly negative correlated with the spectral indice values of B4,OSAVI,MSAVI,TSAVI,SVNSWI, SNSWIa,SNSWIb, SVNI, DNSIa, DNSIb,NDSWIa, NDSWIb, RNSWIa, RNSWIb, DVNI, EVI, TVI, NDGI, SAVI, DVI, NDVI, RVI and PVI, significantly negative correlated with the spectral indice values of SATVI, and no significantly correlated with the spectral indice values of B2,B5 and B7. All of the eight spectral indices of TM image selected achieved significant correlation level. However, the linear models on the basis of DVI and DNSIb had the best estimating precision. This study demonstrated that it is feasible to estimate quantitatively the SL of cotton disease using the spectral indices of TM satellite image.

分类号：

  • 相关文献

[1]Estimating Severity Level of Cotton Infected Verticillium Wilt Based on Spectral Indices of TM Image. Chen, Bing,Wang, Keru,Li, Shaokun,Xiao, Chunhua,Chen, Jianglu,Jin, Xiulinag,Wang, Keru,Li, Shaokun,Chen, Bing.

[2]Study on Hyperspectral Estimation of Pigment Contents in Leaves of Cotton Under Disease Stress. Chen Bing,Li Shao-kun,Wang Ke-ru,Wang Fang-yong,Xiao Chun-hua,Pan Wen-chao,Chen Bing,Li Shao-kun,Wang Ke-ru,Wang Fang-yong. 2010

[3]Estimation of leaf chlorophyll content in winter wheat using variable importance for projection (VIP) with hyperspectral data. He, Peng,Xu, Xingang,Li, Zhenhai,Feng, Haikuan,Yang, Guijun,Zhang, Yongfeng,He, Peng,Xu, Xingang,Li, Zhenhai,Feng, Haikuan,Yang, Guijun,Zhang, Yongfeng,He, Peng,He, Peng,Zhang, Baolei. 2015

[4]Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices. Xie, Qiaoyun,Huang, Wenjiang,Zhang, Bing,Dong, Yingying,Xie, Qiaoyun,Chen, Pengfei,Song, Xiaoyu,Pascucci, Simone,Pignatti, Stefano,Laneve, Giovanni. 2016

[5]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.

[6]Using optimal combination method and in situ hyperspectral measurements to estimate leaf nitrogen concentration in barley. Xu, Xin-gang,Zhao, Chun-jiang,Wang, Ji-hua,Zhang, Jing-cheng,Song, Xiao-yu.

[7]Histological and Ultrastructural Observation Reveals Significant Cellular Differences between Agrobacterium Transformed Embryogenic and Non-embryogenic Calli of Cotton. Shang, Hai-Hong,Liu, Chuan-Liang,Zhang, Chao-Jun,Li, Feng-Lian,Hong, Wei-Dong,Li, Fu-Guang.

[8]A simplified pruning method for profitable cotton production in the Yellow River valley of China. Dai, Jianlong,Luo, Zhen,Li, Weijiang,Tang, Wei,Zhang, Dongmei,Lu, Hequan,Li, Zhenhuai,Xin, Chengsong,Kong, Xiangqiang,Eneji, A. Egrinya,Dong, Hezhong.

[9]Dry mycelium of Penicillium chrysogenum induces expression of pathogenesis-related protein genes and resistance against wilt diseases in Bt transgenic cotton. Chen, Suiyun,Dong, Hezhong,Fan, Yuqin,Li, Weijiang,Cohen, Yigal. 2006

[10]Effects of Soil Salinity and Plant Density on Yield and Leaf Senescence of Field-Grown Cotton. Zhang, H. J.,Dong, H. Z.,Li, W. J.,Zhang, D. M.,Zhang, H. J.. 2012

[11]Removal of early fruiting branches impacts leaf senescence and yield by altering the sink/source ratio of field-grown cotton. Chen, Yizhen,Dong, Hezhong,Chen, Yizhen,Kong, Xiangqiang,Dong, Hezhong,Kong, Xiangqiang,Dong, Hezhong. 2018

[12]An Improved CTAB-Ammonium Acetate Method for Total RNA Isolation from Cotton. Ding, Qi,Zeng, Jun,He, Xin-Qiang,Zhao, Lu,Fan, Shou-Jin,Wang, Fu-Rong,Zhang, Jun. 2012

[13]Yield, quality and leaf senescence of cotton grown at varying planting dates and plant densities in the Yellow River Valley of China. Dong, HZ,Li, WJ,Tang, W,Li, ZH,Zhang, DM,Niu, YH. 2006

[14]Dry mycelium of Penicillium chrysogenum protects cotton plants against wilt diseases and increases yield under field conditions. Dong, HZ,Zhang, XK,Choen, Y,Zhou, Y,Li, WJ,Li, ZH. 2006

[15]Lint yield and nitrogen use efficiency of field-grown cotton vary with soil salinity and nitrogen application rate. Zhang, Dongmei,Li, Weijiang,Xin, Chengsong,Tang, Wei,Eneji, A. Egrinya,Dong, Hezhong,Eneji, A. Egrinya. 2012

[16]IMPROVED NUTRIENT UPTAKE ENHANCES COTTON GROWTH AND SALINITY TOLERANCE IN SALINE MEDIA. Dai, J. L.,Duan, L. S.,Dong, H. Z.,Dai, J. L.. 2014

[17]Unequal salt distribution in the root zone increases growth and yield of cotton. Dong, Hehzong,Kong, Xianggiang,Luo, Zhen,Li, Weijiang,Xin, Chengsong. 2010

[18]Genetic improvement of cotton tolerance to salinity stress. Ma, Xinrong,Dong, Hezhong,Li, Weijiang,Ma, Xinrong. 2011

[19]Effects of plant density and nitrogen and potassium fertilization on cotton yield and uptake of major nutrients in two fields with varying fertility. Dong, Hezhong,Kong, Xiangqiang,Li, Weijiang,Tang, Wei,Zhang, Dongmei. 2010

[20]Effects of non-uniform root zone salinity on water use, Na+ recirculation, and Na+ and H+ flux in cotton. Kong, Xiangqiang,Luo, Zhen,Dong, Hezhong,Eneji, A. Egrinya,Li, Weijiang,Eneji, A. Egrinya. 2012

作者其他论文 更多>>

微信小程序