• 刘良云
  • 个人简介

    姓名

    刘良云

    性别

    职称

    研究员

    学历

    研究生

    电话

    010-82178163

    传真

    010-82178177

    Email

    liuly@radi.ac.cn

    邮编

    100094

    地址

    北京市海淀区邓庄南路9

  • 详细介绍
  •  

    简历

    刘良云,男,1975年生,博士,研究员,博士生导师。中国科学院对地观测中心光学对地观测研究室主任。2000年毕业于中国科学院西安光学精密机械研究所,获光学专业博士学位。2009起在中国科学院大学开始植被遥感课程,入选校级优秀课程。担任中国科学院青年联合委员,中国地理学会环境遥感分会理事,国际地球观测组织全球森林观测计划(GEO GFOI)工作组成员。国内外共发表期刊论文100多篇,其中SCI检索论文40多篇,Google Scholar检索他人引用3000多次、H指数31。出版专著1部,入选中国科学院大学研究生教材。

     

    教育经历:

    1992.09-1996.07 淮北煤炭师范学院 物理教育专业 大学本科

    1996.09-2000.12 中国科学院西安光学精密机械研究所 光学专业 理学博士

     

    科研工作经历:

    2001-2002年:中国科学院遥感应用研究所,博士后;

    2003-2007年:北京市农林科学院,副研究员、研究员;

    2008年至今:中国科学院对地观测中心/遥感地球所 研究员、博导、室主任

     

    研究方向:

    植被遥感

     

    专家类别:

    研究员

     

    职务:

    光学对地观测研究室主任

     

    承担科研项目情况:

    优秀青年科学基金项目,植被定量遥感;

    973专题,羌塘高原航空遥感试验及地表参数反演;

    中国科学院对外合作重点项目,陆地植被碳计量模型与应用研究。

     

    获奖及荣誉:

    2006,北京市新世纪百千万人才工程;

    2006,精准农业关键技术研究与示范,北京市科学技术奖一等奖(排名第九)

    2007,精准农业关键技术研究与示范,国家科技进步奖二等奖(排名第十)

    2008,农业定量遥感与应用,北京市科学技术奖 (排名第二)

    2012,国家基金委优秀青年科学基金资助。

     

    代表论著:

    论文:

    [1]  Liu, L., Peng, D., Wang, Z., Hu, Y. 2014, Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks. Environmental monitoring and assessment, 186(11), 7293-7306.

    [2]  Liu, L., Huang, W., Pu, R., Wang, J. Detection of Internal Leaf Structure Deterioration Using a New Spectral Ratio Index in the Near-Infrared Shoulder Region. Journal of Integrative Agriculture, 2014, 13(4),760-769.

    [3]  Liu, L., Liu, L.,* Liang, L., Donnelly, A., Park, I., Schwartz, M. D. Effects of elevation on spring phenological sensitivity to temperature in Tibetan Plateau grasslands. Chinese Science Bulletin, 2014, 59(34), 4856-4863.

    [4]  Liu, X., Liu, L.* Assessing Band Sensitivity to Atmospheric Radiation Transfer for Space-Based Retrieval of Solar-Induced Chlorophyll Fluorescence. Remote Sensing, 2014, 6(11), 10656-10675.

    [5]  Wang, Z., Liu, L*. Assessment of Coarse-Resolution Land Cover Products Using CASI Hyperspectral Data in an Arid Zone in Northwestern China. Remote Sensing, 2014, 6(4), 2864-2883.

    [6]  Hu, Y., Liu, L.,* Peng, D., Jiao, Q., Zhang, H. A. Landsat-5 Atmospheric Correction Based on MODIS Atmosphere Products and 6S Model. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2014, 7(5), 1609-1615

    [7]  Zhao, J. Liu, L.* Linking satellite-based spring phenology to temperate deciduous broadleaf forest photosynthesis activity. International Journal of Digital Earth, 2014, 7 (11), 881-896.

    [8]  Zhang, S., Liu, L.* The potential of the MERIS Terrestrial Chlorophyll Index for crop yield prediction. Remote Sensing Letters, 2014, 5(8), 733-742.

    [9]  Liu, L., Tang, H., Caccetta, P., Lehmann, E. A., Hu, Y., Wu, X. Mapping afforestation and deforestation from 1974 to 2012 using Landsat time-series stacks in Yulin District, a key region of the Three-North Shelter region, China. Environmental monitoring and assessment, 2013, 185 (12), 9949-9965.

    [10] Liu, L., Zhang, Y., Jiao, Q., Peng, D. Assessing photosynthetic light-use efficiency using a solar-induced chlorophyll fluorescence and photochemical reflectance index. International Journal of Remote Sensing, 2013, 34 (12), 4264-4280.

    [11] Liu, L., Zhao, J., Guan, L. Tracking photosynthetic injury of Paraquat-treated crop using chlorophyll fluorescence from hyperspectral data. European Journal of Remote Sensing, 2013, 46, 459-473.

    [12] Liu, L., Peng, D., Hu, Y., Jiao, Q. A Novel in Situ FPAR Measurement Method for Low Canopy Vegetation Based on a Digital Camera and Reference Panel. Remote Sensing, 2013, 5(1), 274-281.

    [13] Liu, L., Cheng, Z. Mapping C3 and C4 plant functional types using separated solar-induced chlorophyll fluorescence from hyperspectral data. International Journal of Remote Sensing, 2011, 32, 9171-9183 

    [14] Liu L., Wang, J., Huang, W., Zhao, C. Detection of leaf and canopy EWT by calculating REWT from reflectance spectra, International Journal of Remote Sensing, 2010, 31, 10, 2681 - 2695

    [15] Liu, L., Cheng, Z. Detection of Vegetation Light-Use Efficiency Based on Solar-Induced Chlorophyll Fluorescence Separated From Canopy Radiance Spectrum, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010,3(3), 306 - 312

    [16] Liu, L., Jing,X., Wang, J., Zhao, C. Analysis of the changes of vegetation coverage of western Beijing mountainous areas using remote sensing and GIS. Environmental Monitoring and Assessment, 2009, 153, 339–349.

    [17] Liu, L., Wu, Y., Zuo, Z., Chen, Z., Wang, X., Zhang, W. Monitoring and assessment of barrier lakes formed after the Wenchuan earthquake based on multitemporal remote sensing data. Journal of Applied Remote Sensing, 2009, 3(031665)

    [18] Liu, L., Wang, J., Bao, Y., Huang, W., Ma, Z., Zhao, C. Predicting winter wheat condition, grain yield and protein content using multi-temporal EnviSat-ASAR and Landsat TM satellite images. International Journal of Remote Sensing, 2006, 27(4), 737–753.

    [19] Liu, L., Zhang, Y., Wang, J., Zhao, C. Detecting Solar-Induced Chlorophy11 Fluorescence From Field Radiance Spectra Based on the Fraunhofer Line Principle. IEEE Trans, on Geoscience and Remote Sensing, 2005, (43), 827-832.

    [20] Liu, L., Wang, J., Huang, W., Zhao, C., Zhang, B., Tong, Q. Estimating winter wheat plant water content using red edge parameters. International Journal of Remote Sensing, 2004, 25(17), 3331-3342. 

    专著:

    刘良云, 植被定量遥感原理与应用,科学出版社, 2014, 北京.


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