[1]Discriminating Wheat Aphid Damage Degree Using 2-Dimensional Feature Space Derived from Landsat 5 TM. Luo, Juhua,Zhao, Chunjiang,Huang, Wenjiang,Zhang, Jingcheng,Zhao, Jinling,Dong, Yingying,Yuan, Lin,Luo, Juhua,Du, Shizhou.

[2]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

[3]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

[4]PREDICTING WHEAT APHID USING 2-DIMENSIONAL FEATURE SPACE BASED ON MULTI-TEMPORAL LANDSAT TM. Huang Wenjiang,Zhao Jinling,Zhang Jingcheng,Ma Zhihong,Luo Juhua. 2011

[5]Global sensitivity analysis of the AquaCrop model for winter wheat under different water treatments based on the extended Fourier amplitude sensitivity test. Xing Hui-min,Chen Yi-jin,Xing Hui-min,Xu Xin-gang,Li Zhen-hai,Feng Hai-kuan,Yang Gui-jun,Chen Zhao-xia,Xing Hui-min,Xu Xin-gang,Li Zhen-hai,Feng Hai-kuan,Yang Gui-jun,Chen Zhao-xia,Xing Hui-min,Xu Xin-gang,Li Zhen-hai,Feng Hai-kuan,Yang Gui-jun,Chen Zhao-xia. 2017

[6]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

[7]Simulation of Winter Wheat Phenology in Beijing Area with DSSAT-CERES Model. Feng, Haikuan,Li, Zhenhai,He, Peng,Jin, Xiuliang,Yang, Guijun,Yu, Haiyang,Yang, Fuqin. 2016

[8]GLOBAL SENSITIVITY ANALYSIS OF WINTER WHEAT YIELD AND PROCESS-BASED VARIABLE WITH AQUACROP MODEL. Xing, Huimin,Yang, Fuqin,Xing, Huimin,Xu, Xingang,Yang, Fuqin,Feng, Haikuan,Yang, Guijin,Xing, Huimin,Xu, Xingang,Yang, Fuqin,Feng, Haikuan,Yang, Guijin. 2016

[9]Vertical features of yellow rust infestation on winter wheat using hyperspectral imaging measurements. Zhao, Jinling,Zhang, Dongyan,Huang, Linsheng,Zhang, Qing,Liu, Wenjing,Yang, Hao. 2016

[10]Retrieval of LAI and leaf chlorophyll content from remote sensing data by agronomy mechanism knowledge to solve the ill-posed inverse problem. Li, Zhenhai,Nie, Chenwei,Yang, Guijun,Xu, Xingang,Jin, Xiuliang,Gu, Xiaohe. 2014

[11]Monitoring quality of winter wheat based on the HJ satellite images. Wang Yan,Li Cunjun. 2012

[12]Study On The Relationship Between The Winter Wheat Thermal Infrared Image Characteristics And Physiological Indicators. Chen Zi-long,Wang Cheng,Zhu Da-zhou. 2014

[13]EVALUATION OF ARABLE LAND YIELD POTENTIAL THROUGH REMOTE SENSING MONITORING. Song Xiaoyu,Gu Xiaohe,Chang Hong. 2014

[14]Comparison between wavelet spectral features and conventional spectral features in detecting yellow rust for winter wheat. Zhang, Jingcheng,Yuan, Lin,Yang, Guijun,Wang, Jihua,Zhang, Jingcheng,Yuan, Lin,Yang, Guijun,Wang, Jihua,Zhang, Jingcheng,Yuan, Lin,Yang, Guijun,Wang, Jihua,Zhang, Jingcheng,Pu, Ruiliang,Loraamm, Rebecca W.. 2014

[15]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

[16]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

[17]Detecting Aphid Density of Winter Wheat Leaf Using Hyperspectral Measurements. Luo, Juhua,Ma, Ronghua,Huang, Wenjiang,Zhao, Jinling,Zhang, Jingcheng,Zhao, Chunjiang. 2013

[18]Hyperspectral Estimation of Leaf Water Content for Winter Wheat Based on Grey Relational Analysis(GRA). Jin Xiu-liang,Wang Yan,Tan Chang-wei,Zhu Xin-kai,Guo Wen-shan,Xu Xin-gang,Wang Ji-hua,Li Xin-chuan. 2012

[19]Monitoring of Winter Wheat Aboveground Fresh Biomass Based on Multi-Information Fusion Technology. Zheng Ling,Dong Da-ming,Zhang Bao-hua,Wang Cheng,Zhao Chun-jiang,Zheng Ling,Zhu Da-zhou. 2016

[20]Assessing the ratio of leaf carbon to nitrogen in winter wheat and spring barley based on hyperspectral data. Xu, Xin-gang,Gu, Xiao-he,Song, Xiao-yu,Xu, Bo,Yu, Hai-yang,Yang, Gui-jun,Feng, Hai-kuan. 2016