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    • Location: HOME» Scientists» Research Groups» Center for Crop Management and Farming System

    Xiuliang Jin

    Date：2019-04-19Author：Source：

    Prof. Xiuliang Jin
    Head of the Research Group of Crop Phenotyping
    Center for Crop Management & Farming System
    Institute of Crop Sciences
    No.12 Zhongguancun South Street
    Beijing, 100081, China
    Tel:86-10-86-10-8210-5097
    Fax:86-10-86-10-8210-5097
    Email:jinxiuliang@caas.cn

    Educations

    •  2012-2015, PhD in Agricultural Information, Beijing Research Center for Information Technology in Agriculture, Beijing, China.
    •  2013-2014, Exchanged PhD, Remote Sensing and Geographic Information System, University of Lethbridge, Lethbridge, Canada
    •  2011-2015, PhD in Agricultural Information, Yangzhou University, Yangzhou, China
    •  2008-2011, MS in Agricultural Information, Shihezi University, Xinjiang, China
    •  1981-1984, BS in Forestry, College of Agriculture, Shihezi University, Xinjiang, China

    Working Experience

    •  2019.3-now, Professor, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences
    •  2015.12-2019.2, Postdoc, Institute of Environnement Mditerranen et Modlisation des Agro-Hydrosystmes, French National Institute for Agricultural Research
    •  2015.7-2015.11, Assistant Professor, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences.

    Research Interests

    •  Crop Phenotyping Platform Study and Application
    •  Application and Development of Sensors
    •  Quantitative Remote Sensing in Agriculture Monitoring
    •  Crop Model and Data Assimilation
    •  Image Processing and Analyzing

    Academic Qualifications

    •  Associate Editor, The Journal of Agricultural Science
    •  Editorial Board, Scientific Reports
    •  Guest Editor, Remote Sensing

    Selected Publications (*corresponding authors)

    Jin X*, Li Z*, Nie C, Xu X, Feng H, Wang J, Guo W. 2018. Parameter sensitivity analysis of AquaCrop model based on the extended fourier amplitude sensitivity under different agro-meteorological conditions. Field Crops Res. 226: 1-15.
    Liu T, Li R, Zhong X*, Jiang M, Jin X*, Zhou P, Liu S., Sun C*, Guo W*. 2018. Estimates of rice lodging using indices derived from UAV visible and thermal infrared images. Agr. Forest Meteorol. 252:144-154.
    Jin X*, Kumar L, Li Z, Feng H, Xu X, Yang G, Wang J. 2018. A review of data assimilation of remote sensing and crop models. Eur. J. Agron. 92:141-152.
    Jin X*, Liu S, Baret F, Hemerlé M, Comar A. 2017. Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery. Remote Sens. Environ. 198: 105-114.
    Jin X, Song K*, Du J, Liu H, Wen Z. 2017. Soil organic matter estimation based on simulated spectral configuration of different satellite sensors: optimal three band algorithms versus the PSO-SVM model. Agr. Forest Meteorol. 244-245:57-71.
    Jin X*, Yang G, Xue X, Li Z, Xu X, Feng H. 2017. Validation of two Huanjing-1A/B satellite-based FAO-56 models for estimating winter wheat crop evapotranspiration during mid-season. Agr. Water Manag. 189: 27-38.
    Jin X*, Li Z, Yang G, Yang H, Feng H, Xu X, Wang J. 2017. Winter wheat yield estimation based on multi-source high-resolution optical and radar imagery and AquaCrop model using particle swarm optimization algorithm. ISPRS J. Photogramm. 126:24-37.
    Jin X, Du J, Liu H, Wang Z and Song K*. 2016. Remote estimation of soil organic matter content in the Sanjiang Plain, Northest China: the optimal band algorithm versus the GRA-ANN model. Agr. Forest Meteorol. 218-219: 250-260.
    Jin X, Ma J, Wen, Z and Song K*. 2015. Estimation of maize residue cover using Landsat-8 OLI image spectral information and textural features. Remote Sens. 7: 14559 -14575.
    Jin X, Feng H, Li Z, Song S, Zhu X, Song X, Yang, G, Xu, X*, Guo, W*. 2014: Assessment of the AquaCrop model for use in simulation of irrigated winter wheat canopy cover, biomass, and grain yield in the North China Plain. PLOS ONE 9: e86938.
    Jin X, Li, Z, Feng H, Xu, X, Yang G*. 2014. Newly combined spectral indices to improve estimation of total leaf chlorophyll content in cotton. IEEE J. S. T. A. R. S. 7: 4589-4600.

    Members of Research Group

     

     

     

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