科研骨干 
院士专家
杰青优青
千人计划
百人计划
研究员
副研究员
特聘研究员
  杰青优青  
当前位置：首页 > 人才队伍 > 科研骨干 > 杰青优青
优秀青年基金
姓 名： 刘良云 性 别： 男
职 称： 研究员 学 历： 博士
电 话： 82178163 传 真： 82178177
Email： liuly@radi.ac.cn 邮 编： 100094
地 址： 北京市海淀区邓庄南路9号
简　　历：

教育背景：  

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。 

科研工作经历：  

2001-2002年：中国科学院遥感应用研究所，博士后；  

2003-2006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。  

研究生培养：  

博士研究生：赵晶晶、胡勇、刘玲玲、王志慧、刘新杰、关琳琳、张苏、胡娇婵、张肖、杜珊珊、陈曦东、钱晓瑾、马彦 

硕士研究生：李振汪、孙晨曦、王颖洁 
研究方向：
植被遥感
专家类别：
优秀青年基金
职　　务：
光学对地观测研究室主任
社会任职：
承担科研项目情况：

1. 国家重点研发计划项目，2017YFA0603000，全球碳循环关键参数立体观测与反演

2. 国家自然科学基金面上项目，41671349，植被总初级生产力的叶绿素荧光反演模型与不确定性研究

3. 高分辨率对地观测系统重大专项，30-Y20A29-9003-15/17，GF-5高分谱载荷的典型植被参量反演技术

4. 国家自然科学基金委优秀青年科学基金项目，41222008，植被定量遥感

5. 中国科学院遥感与数字地球研究所“一三五”规划重点培育方向项目，Y3ZZ11101A，航天航空智能对地观测机理与方法

6. 973项目子课题，2010CB951701-4，羌塘高原航空遥感试验及地表参数反演

7. 中国科学院国际合作重点项目，GJH21123，陆地植被碳计量模型与应用研究

8. 国家自然科学基金面上项目，40971197，植被光能利用率的光谱探测机理与方法研究

9. 国家自然科学基金面上项目，40771134，叶片和冠层水平的叶绿素荧光的遥感探测机理与应用研究

10. 北京市自然科学基金重点项目，4071002，北京山区自然力生态修复遥感监测与空间决策研究

11. 863课题，2006AA10Z201，田间条件下作物养分和水分光谱探测与诊断研究

12. 国家自然科学基金面上项目，40301035，基于光谱的光合作用荧光发射光谱探测及应用

13. 北京市自然科学基金项目，4042014，叶片光学响应机理与传输模型研究

14. 863重点项目，2003AA209040，数字农业精准生产平台技术研究与应用

15. 863重点项目子课题，2002AA130010-2-8，冬小麦，玉米波谱数据采集及精细农业应用示范
获奖及荣誉：

获得中科院杰出科技成就奖、国家科技进步二等奖、北京市科学技术奖一等奖、三等奖、军队科技进步三等奖各1项；入选北京市百千万人才工程(2006)，获得国家自然基金委首届优秀青年科学基金资助(2012)。
代表论著：

专著：刘良云，植被定量遥感原理与应用，科学出版社，2014

SCI论文发表：

1.     Liu, X., Guanter, L., Liu, L., Damm, A., Malenovsky, Z., Rascher, U., ... & Gastellu-Etchegorry, J. P. (2018). Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model. Remote Sensing of Environment. DOI: 10.1016/j.rse.2018.05.035

2.     Zhang, X., Liu, L., Wang, Y., Hu, Y., & Zhang, B. (2018). A SPECLib-based operational classification approach: A preliminary test on China land cover mapping at 30 m. International Journal of Applied Earth Observation and Geoinformation, 71, 83-94.

3.     Hu, J., Liu, X., Liu, L., & Guan, L. (2018). Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence. Remote Sensing, 10(2), 250.

4.     Liu, X., & Liu, L. (2018). Influence of the canopy BRDF characteristics and illumination conditions on the retrieval of solar-induced chlorophyll fluorescence. International Journal of Remote Sensing, 39(6), 1782-1799.

5.     He, Z., Lei, L., Welp, L. R., Zeng, Z. C., Bie, N., Yang, S., & Liu, L. (2018). Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations. Remote Sensing, 10(6), 839.

6.     Liu, L., Liu, X., Hu, J., & Guan, L. (2017). Assessing the wavelength-dependent ability of solar-induced chlorophyll fluorescence to estimate the GPP of winter wheat at the canopy level. International Journal of Remote Sensing, 38(15), 4396-4417.

7.     Liu, L., Song, B., Zhang, S., Liu, X. (2017). A Novel Principal Component Analysis Method for the Reconstruction of Leaf Reflectance Spectra and Retrieval of Leaf Biochemical Contents. Remote Sensing, 9, 1113.

8.     Liu, L., Guan, L., & Liu, X. (2017). Directly estimating diurnal changes in GPP for C3 and C4 crops using far-red sun-induced chlorophyll fluorescence. Agricultural and Forest Meteorology, 232, 1-9.

9.     Du, S., Liu, L., Liu, X., & Hu, J. (2017). Response of Canopy Solar-Induced Chlorophyll Fluorescence to the Absorbed Photosynthetically Active Radiation Absorbed by Chlorophyll. Remote Sensing, 9(9), 911.

10.   Hu, J., Liu, L., & Liu, X. (2017). Improving the retrieval of solar-induced chlorophyll fluorescence at canopy level by modeling the relative peak height of the apparent reflectance. Journal of Applied Remote Sensing, 11(2), 026032.

11.   Peng, D., Zhang, X., Zhang, B., Liu, L., Liu, X., Huete, A. R., Huang, W., Wang, S., Luo, S., Zhang, H. (2017). Scaling effects on spring phenology detections from MODIS data at multiple spatial resolutions over the contiguous United States. ISPRS Journal of Photogrammetry and Remote Sensing, 132, 185-198.

12.   Liu, X., Liu, L., Hu, J., & Du, S. (2017). Modeling the Footprint and Equivalent Radiance Transfer Path Length for Tower-Based Hemispherical Observations of Chlorophyll Fluorescence. Sensors, 17(5), 1131.

13.   Liu, L., Liu, X., Wang, Z., & Zhang, B. (2016). Measurement and Analysis of Bidirectional SIF Emissions in Wheat Canopies. IEEE Transactions on Geoscience and Remote Sensing, 54(5), 2640-2651.

14.   Liu, L., Zhang, S., & Zhang, B. (2016). Evaluation of hyperspectral indices for retrieval of canopy equivalent water thickness and gravimetric water content. International Journal of Remote Sensing, 37(14), 3384-3399.

15.   Zhang, S., Liu, L., Liu, X., & Liu, Z. (2016). Development of a New BRDF-Resistant Vegetation Index for Improving the Estimation of Leaf Area Index. Remote Sensing, 8(11), 947.

16.   Wang, Z., & Liu, L. (2016). Correcting Bidirectional Effect for Multiple-Flightline Aerial Images Using a Semiempirical Kernel-Based Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(9), 4450-4463.

17.   Wang, Z., Liu, L., Peng, D., Liu, X., Zhang, S., & Wang, Y. (2016). Estimating woody aboveground biomass in an area of agroforestry using airborne light detection and ranging and compact airborne spectrographic imager hyperspectral data: individual tree analysis incorporating tree species information. Journal of Applied Remote Sensing, 10(3), 036007-036007.

18.   Wang, Y., Liu, L., Hu, Y., Li, D., & Li, Z. (2016). Development and validation of the Landsat-8 surface reflectance products using a MODIS-based per-pixel atmospheric correction method. International Journal of Remote Sensing, 37(6), 1291-1314.

19.   Peng, D., Wu, C., Zhang, B., Huete, A., Zhang, X., Sun, R., Liu L., & Li, J. (2016). The Influences of Drought and Land-Cover Conversion on Inter-Annual Variation of NPP in the Three-North Shelterbelt Program Zone of China Based on MODIS Data. PloS one, 11(6), e0158173.

20.   Liu, L., Liu, X., & Hu, J. (2015). Effects of spectral resolution and SNR on the vegetation solar-induced fluorescence retrieval using FLD-based methods at canopy level. European Journal of Remote Sensing, 48(1), 743-762.

21.   Liu, X., Liu, L., Zhang, S., & Zhou, X. (2015). New spectral fitting method for full-spectrum solar-induced chlorophyll fluorescence retrieval based on principal components analysis. Remote Sensing, 7(8), 10626-10645.

22.   Wang, Z., Bastin, G. N., Liu, L., Caccetta, P. A., & Peng, D. (2015). Estimating woody above-ground biomass in an arid zone of central Australia using Landsat imagery. Journal of Applied Remote Sensing, 9(1), 096036.

23.   Liu, X., & Liu, L. (2015). Improving chlorophyll fluorescence retrieval using reflectance reconstruction based on principal components analysis. IEEE Geoscience and Remote Sensing Letters, 12(8), 1645-1649.

24.   Zhao, F., Guo, Y., Huang, Y., Verhoef, W., van der Tol, C., Dai, B., Liu L., Zhao H., & Liu, G. (2015). Quantitative estimation of fluorescence parameters for crop leaves with bayesian inversion. Remote sensing, 7(10), 14179-14199.

25.   Liu, L., Liang, L., Schwartz, M. D., Donnelly, A., Wang, Z., Schaaf, C. B., & Liu, L. (2015). Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest. Remote Sensing of Environment, 160, 156-165.

26.   Qiao, C., Sun, R., Xu, Z., Zhang, L., Liu, L., Hao, L., & Jiang, G. (2015). A study of shelterbelt transpiration and cropland evapotranspiration in an irrigated area in the middle reaches of the Heihe River in northwestern China. IEEE Geoscience and Remote Sensing Letters, 12(2), 369-373.

27.   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.

28.   Liu, L. Y., Huang, W. J., PU, R. L., & Wang, J. H. (2014). Detection of internal leaf structure deterioration using a new spectral ratio index in the near-infrared shoulder region. Journal of Integrative Agriculture, 13(4), 760-769.

29.   Li, Z., Jiao, Q., Liu, L., Tang, H., & Liu, T. (2014). Monitoring geologic hazards and vegetation recovery in the Wenchuan earthquake region using aerial photography. ISPRS International Journal of Geo-Information, 3(1), 368-390.

30.   Liu, X., & Liu, L. (2014). Assessing band sensitivity to atmospheric radiation transfer for space-based retrieval of solar-induced chlorophyll fluorescence. Remote Sensing, 6(11), 10656-10675.

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

32.   Zhang, S., & Liu, L. (2014). The potential of the MERIS Terrestrial Chlorophyll Index for crop yield prediction. Remote sensing letters, 5(8), 733-742.

33.   Hu, Y., Liu, L., Liu, L., Peng, D., Jiao, Q., & Zhang, H. (2014). A Landsat-5 atmospheric correction based on MODIS atmosphere products and 6S model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(5), 1609-1615.

34.   Wang, Z., & Liu, L. (2014). Assessment of coarse-resolution land cover products using CASI hyperspectral data in an arid zone in Northwestern China. Remote Sensing, 6(4), 2864-2883.

35.   Liu, L., Liu, L., Liang, L., Donnelly, A., Park, I., & Schwartz, M. D. (2014). Effects of elevation on spring phenological sensitivity to temperature in Tibetan Plateau grasslands. Chinese science bulletin, 59(34), 4856-4863.

36.   Zhao, F., Guo, Y., Verhoef, W., Gu, X., Liu, L., & Yang, G. (2014). A method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements. Remote sensing, 6(10), 10171-10192.

37.   Peng, D., Huang, J., Li, C., Liu, L., Huang, W., Wang, F., & Yang, X. (2014). Modelling paddy rice yield using MODIS data. Agricultural and forest meteorology, 184, 107-116.

38.   Jiao, Q., Zhang, B., Liu, J., & Liu, L. (2014). A novel two-step method for winter wheat-leaf chlorophyll content estimation using a hyperspectral vegetation index. International journal of remote sensing, 35(21), 7363-7375.

39.   Jiao, Q., Zhang, B., Liu, L., Li, Z., Yue, Y., & Hu, Y. (2014). Assessment of spatio-temporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data. Natural hazards, 70(2), 1309-1326.

40.   Liu, L., Zhang, Y., Jiao, Q., & Peng, D. (2013). Assessing photosynthetic light-use efficiency using a solar-induced chlorophyll fluorescence and photochemical reflectance index. International journal of remote sensing, 34(12), 4264-4280.

41.   Liu, L., Peng, D., Hu, Y., & Jiao, Q. (2013). A novel in situ FPAR measurement method for low canopy vegetation based on a digital camera and reference panel. Remote Sensing, 5(1), 274-281.

42.   Liu, L., Zhao, J., & Guan, L. (2013). Tracking photosynthetic injury of Paraquat-treated crop using chlorophyll fluorescence from hyperspectral data. European Journal of Remote Sensing, 46(1), 459-473.

43.   Liu, L., Tang, H., Caccetta, P., Lehmann, E. A., Hu, Y., & Wu, X. (2013). 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, 185(12), 9949-9965.

44.   Yang, Q., Huang, W., Zhao, J., Dong, L., Huang, L., Zhang, D., Liu, L., Yang, G., & Song, X. (2013). Effect of Canopy Geometry on Estimation of Leaf Area Index in Winter Wheat Using Multi-angle Spectrum. International Journal of Agriculture & Biology, 15(6).

45.   Guan, L., Liu, L., Peng, D., Hu, Y., Jiao, Q., & Liu, L. (2012). Monitoring the distribution of C3 and C4 grasses in a temperate grassland in northern China using moderate resolution imaging spectroradiometer normalized difference vegetation index trajectories. Journal of Applied Remote Sensing, 6(1), 063535.

46.   Jiao Q., Zhang, B., Liu L., He Y., & Hu, Y. (2012). Analysis on vegetations spectral characteristics along the altitudinal gradients in south-facing slope of Dangxiong Valley. Spectroscopy and Spectral Analysis, 32(10), 2810-2814.

47.   Peng, D., Zhang, B., Liu, L., Fang, H., Chen, D., Hu, Y., & Liu, L. (2012). Characteristics and drivers of global NDVI‐based FPAR from 1982 to 2006. Global Biogeochemical Cycles, 26(3).

48.   Zhao, C., Bao, Y., Cheng, M., Huang, W., & Liu, L. (2012). Use of Landsat TM and EOS MODIS imaging technologies for estimation of winter wheat yield in the North China Plain. International journal of remote sensing, 33(4), 1029-1041.

49.   Peng, D., Zhang, B., & Liu, L. (2012). Comparing spatiotemporal patterns in Eurasian FPAR derived from two NDVI-based methods. International Journal of Digital Earth, 5(4), 283-298.

50.   Peng, D., Zhang, B., Liu, L., Chen, D., Fang, H., & Hu, Y. (2012). Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI. International Journal of Digital Earth, 5(5), 439-455.

51.   Liu, L., & Cheng, Z. (2011). Mapping C3 and C4 plant functional types using separated solar-induced chlorophyll fluorescence from hyperspectral data. International journal of remote sensing, 32(24), 9171-9183.

52.   Liu, L., & Cheng, Z. (2010). 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, 3(3), 306.

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

54.   Song, X., Wang, J., Yan, G., Huang, W., & Liu L. (2010). Winter wheat growth spatial variation study based on temporal airborne high-spectrum images. Spectroscopy and Spectral Analysis, 30(7), 1820-1824.

55.   Guo, H., Liu, L., Lei, L., Wu, Y., Li, L., Zhang, B., Zuo, Z., & Li, Z. (2010). Dynamic analysis of the Wenchuan Earthquake disaster and reconstruction with 3-year remote sensing data. International Journal of Digital Earth, 3(4), 355-364.

56.   Song, X., Wang, J., Huang, W., Liu, L., Yan, G., & Pu, R. (2009). The delineation of agricultural management zones with high resolution remotely sensed data. Precision Agriculture, 10(6), 471-487.

57.   Liu, L., Jing, X., Wang, J., & Zhao, C. (2009). Analysis of the changes of vegetation coverage of western Beijing mountainous areas using remote sensing and GIS. Environmental monitoring and assessment, 153(1-4), 339.

58.   Liu, L., Wu, Y., Zuo, Z., Chen, Z., Wang, X., & Zhang, W. (2009). Monitoring and assessment of barrier lakes formed after the Wenchuan earthquake based on multitemporal remote sensing data. Journal of Applied Remote Sensing, 3(1), 031665.

59.   Lei, L., Liu, L., Zhang, L., Bi, J., Wu, Y., Jiao, Q., & Zhang, W. (2009). Assessment of spatial variation of the collapsed houses in Wenchuan earthquake with aerial images. Journal of Applied Remote Sensing, 3(1), 031670.

60.   Chen, P. F., Liu, L. Y., Wang, J. H., Shen, T., Lu, A. X., & Zhao, C. J. (2008). Real-time analysis of soil N and P with near infrared diffuse reflectance spectroscopy. Spectroscopy and Spectral Analysis, 28(2), 295-298.

61.   Huang, W., Song, X., Lamb, D. W., Wang, Z., Niu, Z., Liu, L., & Wang, J. (2008). Estimation of winter wheat grain crude protein content from in situ reflectance and advanced spaceborne thermal emission and reflection radiometer image. Journal of Applied Remote Sensing, 2(1), 023530.

62.   Zhao C., Jiang, A., Huang W., Liu, Ke., Liu, L., Wang, J. (2007). Evaluation of variable‐rate nitrogen recommendation of winter wheat based on spad chlorophyll meter measurement. New Zealand Journal of Agricultural Research, 50(5), 735-741.

63.   Huang, W. J., Wang, J. D., Mu, X. H., Wang, J. H., Liu, L. Y., Liu, Q., & Niu, Z. (2007). Crop geometry identification based on inversion of semiempirical BRDF models. Spectroscopy and Spectral Analysis, 27(10), 1921-1924.

64.   Huang, W., Lamb, D. W., Niu, Z., Zhang, Y., Liu, L., & Wang, J. (2007). Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging. Precision Agriculture, 8(4-5), 187-197.

65.   Wang, J. H., Huang, W. J., Lao, C. L., Zhang, L. D., Luo, C. B., Wang, T., Liu, L. Y., Song, X.Y., & Ma, Z. H. (2007). Inversion of winter wheat foliage vertical distribution based on canopy reflected spectrum by partial least squares regression method. Spectroscopy and Spectral Analysis, 27(7), 1319-1322.

66.   Huang, W., Niu, Z., Wang, J., Liu, L., Zhao, C., & Liu, Q. (2006). Identifying crop leaf angle distribution based on two-temporal and bidirectional canopy reflectance. IEEE Transactions on Geoscience and Remote Sensing, 44(12), 3601-3609.

67.   Zhao, C., Wang, J., Liu, L., Huang, W., Zhou, Q. (2006). Relationship of 2 100–2 300 nm Spectral Characteristics of Wheat Canopy to Leaf Area Index and Leaf N as Affected by Leaf Water Content1. Pedosphere, 16(3), 333-338.

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

69.   Liu, L., Zhang, Y., Wang, J., & Zhao, C. (2005). Detecting solar-induced chlorophyll fluorescence from field radiance spectra based on the Fraunhofer line principle. IEEE Transactions on Geoscience and Remote Sensing, 43(4), 827-832.

70.   Zhang, Y. J., Zhao, C. J., Liu, L. Y., Wang, J. H., & Wang, R. C. (2005). Chlorophyll fluorescence detected passively by difference reflectance spectra of wheat (Triticum aestivum L.) leaf. Journal of Integrative Plant Biology, 47(10), 1228-1235.

71.   Zhao, C., Liu, L., Wang, J., Huang, W., Song, X., & Li, C. (2005). Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress. International Journal of Applied Earth Observation and Geoinformation, 7(1), 1-9.

72.   Wang, Z., Wang, J., Liu, L., Huang, W., Zhao, C., & Lu, Y. (2005). Estimation of Nitrogen Status in Middle and Bottom Layers of Winter Wheat Canopy by Using Ground‐Measured Canopy Reflectance. Communications in soil science and plant analysis, 36(17-18), 2289-2302.

73.   Yan, C., Liu, Q., Niu, Z., Wang, J., Huang, W., & Liu, L. (2005). Polynomial analysis of canopy spectra and biochemical component content inversion. Science in China - Series D: Earth Sciences, 48(10), 1780-1791

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

75.   Wang, Z. J., Wang, J. H., Liu, L. Y., Huang, W. J., Zhao, C. J., & Wang, C. Z. (2004). Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR). Field Crops Research, 90(2-3), 311-321.

76.   Huang, W., Wang, J., Wang, Z., Jiang, Z., Liu L., Wang, J. (2004). Inversion of foliar biochemical parameters at various physiological stages and grain quality indicators of winter wheat with canopy reflectance. International Journal of Remote Sensing, 25(12), 2409-2419.

77.   Liu, L., Zhang, B., Zheng, L., Tong, Q., Liu Y., Xue, Y., Yang, M., Zhao C. (2002). Target classification and soil water content regression using land surface temperature (LST) and vegetation index(VI). Journal of Infrared and Millimeter Waves, 21(4), 269-273