Hi, I am Jinheng Zhang, My LiveDNA is 86.4796
 
   
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Dr. Jinheng Zhang
 
Highest Degree: Ph.D. in Remote Sensing from Qingdao University of Science and Technology, China
 
Institute: Qingdao University of Science and Technology, China
 
Area of Interest: Plant and Soil Sciences
  •   Remote Sensing Application
  •   Hyper Spectrum
  •   Non Point Pollution
  •   Plant Nutrition
 
URL: http://livedna.org/86.4796
 
My SELECTED Publications
1:   Chao, H. and J. Zhang, 2009. Leaf absorptance spectrum sensitive vegetation indices under sulfur dioxide acute injur. J. Agro-Environ. Sci., 28: 2224-2233.
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2:   Gui-Zhong, Z., J. Zhang, W. Jun-Qiang and L. Jia, 2010. Application of the fuzzy mathematics in evaluation Dagu river water quality. J. Agro-Environ. Sci., 29: 191-195.
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3:   Han, C., J. Zhang, S. Zhang, G. Zhou and D. Li, 2010. The varieties between the fertilizer and rice leaf nitrogen concentration based on 15N tracer. Chin. Agricul. Sci. Bull., 26: 111-116.
4:   Li-Juan, X., J. Zhang, L. Da-Peng, Y. Zhen-Xuan and L. Yong-liang, 2010. Research of method for sensitive band range selection of rice chlorophyll. Shandong. Agricul. Sci., 10: 19-23.
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5:   Shen, T., J. Zhang and W. Junqiang, 2011. Research on non-point source pollution based on spatial information technology: A case study in qingdao. Comput. Technol. Agricul., 347: 592-601.
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6:   Yan-Lin, T., W. Ren-Chao, J. Zhang and W. Ke, 2003. Study on determining nitrogenous levels of barley by hyperspectral and chlorophyll meter. J. Triticeae Crops, 23: 63-66.
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7:   Yue-Peng, L., J. Zhang, H. Chao and L. Shu-Tang, 2008. Open-top SO_2 fumigation device designed for rice field experimentation. J. Agro-Environ. Sci., 27: 1649-1652.
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8:   Zhang, J. and Z. Dezhu, 2002. Conceiving agriculture disaster monitor information system based on ''3S'' technology. J. catastrophol., 17: 76-81.
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9:   Zhang, J., 2006. Rice nitrogen nutrition diagnosis using continuum removed reflectance. J. Plant Ecol., 30: 78-82.
10:   Zhang, J., 2008. Rice nitrogen nutrition diagnosis using continuum removed reflectance. Proc. Chin. Assoc. Sci. Technol., 4: 566-570.
11:   Zhang, J., 2008. Study of hyper-spectral application to monitoring vegetation response of air pollution. Environ. Monit. Chin., 5: 40-43.
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12:   Zhang, J., C. Han and D. Li, 2010. New vegetation index monitoring rice chlorophyll concentration using leaf transmittance spectra. Sensor Lett., 8: 16-21.
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13:   Zhang, J., C. Han and S. Zhang, 2010. Estimating the impacts of sulphur dioxide on rice via chlorophyll and peroxidase activity transmittance spectra prediction models. Sensor Lett., 8: 151-157.
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14:   Zhang, J., C. Han and Y. Li, 2010. The effects of sulphur dioxide on the spectral curves and chlorophyll concentration of rice canopy. Int. J. Remote. Sens., 31: 4257-4264.
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15:   Zhang, J., C. Han and Z. Liu, 2009. Absorption spectrum estimating rice chlorophyll concentration: Preliminary investigations. J. Plant Breeding. Crop. Sci., 1: 223-229.
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16:   Zhang, J., C. Han, D. Li, S.T. Liu and Z.H. Zhang, 2010. Investigation of sulfur dioxide influence on canopy spectral characteristics at early growth stage of rice. Aust. J. Agricul. Engin 1: 38-44.
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17:   Zhang, J., H. Chao, L. Da-Peng and Z.Z. Gui, 2010. Correlation between rice leaf absorption spectrum vegetation indices and indices of physiological and biochemical under sulfur dioxide acute injury. J. Agro-Environ. Sci., 29: 6-9.
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18:   Zhang, J., H. Chao, L. Zhiheng and L. Yanhua, 2008. Diagnosis of acute injury of wheat caused by SO2 using color parameters of wheat digital images. Trans. CSAE., 24: 36-38.
19:   Zhang, J., K. Wang, J.S. Bailey and W. Ren-Chao, 2006. Predicting nitrogen status of rice using multispectral data at canopy scale. Pedosphere, 16: 108-117.
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20:   Zhang, J., L. Yongliang, H. Chao and L. Dapeng, 2011. New reflectance spectral vegetation indices for estimating rice nitrogen nutrition I: Selection of optimum vegetation indices using leaf spectral reflectance and SPAD values. Sensor Lett., 9: 1190-1195.
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21:   Zhang, J., L. Yuepeng and H. Chao, 2008. Effects of sulphur dioxide on the yield components of rice. J. Agro-Environ. Sci., 27: 1890-1894.
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22:   Zhang, J., L. Yuepeng and H. Chao, 2008. Monitoring of acute injury of crops caused by SO_2 using some biophysical and chemical indices. Transac. CSAE., 24: 212-215.
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23:   Zhang, J., L. Yuepeng and H. Chao, 2009. Impact of sulfur dioxide upon physiological indices and spectrum characteristics of rice. J. Agro-Environ. Sci., 28: 26-29.
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24:   Zhang, J., S. Tao, L. Minghua, W. Yu and L. Jianbo, 2011. Research on non-point source pollution spatial distribution of qingdao based on L-THIA model. Math. Comput. Mod., 54: 1151-1159.
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25:   Zhang, J., W. Juan and H. Chao, 2010. Prediction of chlorophyll concentration of rice based on spectral absorption. Transmitt. Reflectance, 26: 78-83.
26:   Zhang, J., W. Junqiang, L. Yongliang, L. Jianting and L. Dapeng et al., 2011. Study on vegetable field evaluation index system for non-point source pollution of dagu river basin. Comput. Technol. Agricult., 345: 706-715.
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27:   Zhang, J., W. Junqiang, W. Yu and H. Chao, 2010. Agricultural non-point source pollution investigation and assessment in Qingdao. Chin. Agricul. Sci., 26: 276-280.
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28:   Zhang, J., W. Ke and W. Ren-Chao, 2003. A study on vegetation index LRPSA to estimate nitrogen nutrition status of rice. J. Shanghai. Jiaotong Uni., 21: 349-355-361.
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29:   Zhang, J., W. Ke and W. Ren-Chao, 2003. Application of chlorophyll meter SPAD-502 in diagnosis of nitrogen status and nitrogenous fertilizer in rice. J. Northwest. A.F. Uni., 31: 177-180.
30:   Zhang, J., W. Ke and W. Ren-Chao, 2003. Study on hyperspectral remote sensing in estimate vegetation leaf chlorophyll content. J. Shanghai. Jiaotong Uni., 21: 74-80.
31:   Zhang, J., W. Ke, W. Ren-Chao, Z. Hongfu and Z. Bin, 2004. Sensitive band ranges of leaf spectral reflectance in diagnosis of rice nitrogen nutrition. J. Zhejiang Univer., 30: 340-344.
32:   Zhang, J., X. Yu, Y. Lv, Z. Yao and D. Li, 2012. A kind of rice nitrogen status rapid diagnostic tool. Comput. Technol. Agricul. V-IFIP. Adv. Infor. Commun. Technol., 370: 50-61.
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33:   Zhang, J., Y. LI, H. Chao and Z. Zhenhua, 2008. The correlation between derivative spectra and some biophysical-biochemical indices of rice under SO_2 pollution. Remote. Sens. Land. Resour., 4: 43-46.
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34:   Zhang, J., Y. Lv, C. Han and Y. Zhenxuan, 2011. New reflectance spectral vegetation indices for estimating rice nitrogen nutrition II: Optimum reflectance spectral vegetation indices for estimating rice leaf nitrogen concentration. Sensor Lett., 9: 1196-1200.
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35:   Zhang, J., Y. Lv, C. Han, D. Li, Z. Yao and X. Jiang, 2011. New reflectance spectral vegetation indices for estimating rice nitrogen nutrition III: Development of a new vegetation index based on canopy red-edge reflectance spectra to monitor rice canopy leaf nitrogen concentration. Sensor Lett., 9: 1201-1206.
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36:   Zhang, J., Z. Dezhu, C. Tijiu and W. Renchao, 2001. Classifing of land use types of reservoir watershed based on RS and GIS. J. Soil. Water Conserv., 6: 100-103.
37:   Zhang, J.H. and K. Wang, 2008. New vegetation index for estimating nitrogen concentration using fresh leaf spectral reflectance. Trans. Chinese Soc. Agric. Eng., 24: 158-161.
38:   Zhang, W., Z. Jin-Heng, X. Yun-Chun and Z. Ru-Feng, 2009. Impact of SO_2 on biophysical and chemical indices of wheat. J. Shenyang Uni. Chem. Technol., 23: 121-123.
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39:   Zhu, Z., J. Zhang and T. Cai, 2002. Study on water conservation function of forest soil. J. Heilongjiang. Hydraul. Engin. Coll., 1: 11-12.