植被定量遥感

1996-07--2000-12 中国科学院西安光学精密机械研究所，光学专业，博士

1992-07--1996-07 淮北煤炭师范学院，物理专业，大学本科

2008- 至今 中科院/对地观测中心/遥感地球所/空天院，研究员

2006-2007 北京市农林科学院，研究员

2003-2006 北京市农林科学院，副研究员

2001-2002 中科院遥感应用研究所，博士后

1.全球生态系统碳循环关键参数立体观测与反演，国家重点研发计划项目，2016-2020；
2.TanSat卫星科学产品与全球碳收支估算，中科院重点部署项目，2019-2021；
3.植被定量遥感，国家基金委杰青项目，2019-2023；
4.GF-5高分谱载荷的典型植被参量反演技术，国家科技重大专项项目，2015-2017；
5.陆地生态地表波谱测量系统，中科院仪器修购项目，2015-2016；
6.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，国家基金委面上项目，2017-2020；
7.荧光卫星遥感最优观测，中科院自主部署项目，2016-2017。

获奖信息

2018年，国家科技进步二等奖，高光谱遥感信息机理与多学科应用，排名第4

2016年，中国科学院杰出科技成就奖，高光谱遥感研究集体，排名第4

2012年，军队科技进步三等奖，天宫一号民用遥感数据处理系统，排名第3

2008年，北京市科学技术奖三等奖，农业定量遥感与应用，排名第3

2007年，国家科技进步二等奖，精准农业关键技术研究与示范，排名第10

荣誉称号

2018年，国家杰出青年科学基金获得者；

2018年，国家万人计划科技创新领军人才入选者；

2012年，国家基金委优秀青年科学基金获得者（首届）；

2006年，北京市百千万人才工程入选者。

1.Liu, X., Guanter, L., Liu, L., Damm, A., Malenovsky, Z., Rascher, U., ... & Gastellu-Etchegorry, J. P. (2019). Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model. Remote Sensing of Environment, 231, 110772.

2.Qian, X., Zhang, Y., Liu, L., & Du, S. (2019). Exploring the potential of leaf reflectance spectra for retrieving the leaf maximum carboxylation rate. International Journal of Remote Sensing, 40(14), 5411-5428.

3.Xie, S., Liu, L., Zhang, X., & Chen, X. (2019). Annual land-cover mapping based on multi-temporal cloud-contaminated landsat images. International Journal of Remote Sensing, 40(10), 3855-3877.

4.Zhang, X., Liu, L., Chen, X., Xie, S., & Lei, L. (2019). A Novel Multitemporal Cloud and Cloud Shadow Detection Method Using the Integrated Cloud Z-Scores Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(1), 123-134.

5.Peng, D., Zhang, H., Liu, L., Huang, W., Huete, A. R., Zhang, X., ... & Luo, S. (2019). Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables. Remote Sensing, 11(19), 2270.

6.Du, S., Liu, L., Liu, X., Guo, J., Hu, J., Wang, S., & Zhang, Y. (2019). SIFSpec: Measuring solar-induced chlorophyll fluorescence observations for remote sensing of photosynthesis. Sensors, 19(13), 3009.

7.Zhang, X., Liu, L., Chen, X., Xie, S., & Gao, Y. (2019). Fine Land-Cover Mapping in China Using Landsat Datacube and an Operational SPECLib-Based Approach. Remote Sensing, 11(9), 1056.

8.Liu, L., Zhang, X., Xie, S., Liu, X., Song, B., Chen, S., & Peng, D. (2019). Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance Residual Method: Algorithm and Validation. Remote Sensing, 11(9), 1004.

9.Liu, X., Guo, J., Hu, J., & Liu, L. (2019). Atmospheric Correction for Tower-Based Solar-Induced Chlorophyll Fluorescence Observations at O2-A Band. Remote Sensing, 11(3), 355.

10.Hu, J., Liu, L., Guo, J., Du, S., & Liu, X. (2018). Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily Scale Gives an Improved Estimation of the Gross Primary Productivity. Remote Sensing, 10(10), 1663.

11.Du, S., Liu, L., Liu, X., Zhang, X., Zhang, X., Bi, Y., & Zhang, L. (2018). Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite. Science Bulletin, 63(22), 1502-1512.

12.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.

13.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.

14.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.

15.Peng, D., Zhang, H., Yu, L., Wu, M., Wang, F., Huang, W., Liu, L.,& Xu, F. (2018). Assessing spectral indices to estimate the fraction of photosynthetically active radiation absorbed by the vegetation canopy. International Journal of Remote Sensing, 39(22), 8022-8040.

16.Wang, Z., Yao, W., Tang, Q., Liu, L., Xiao, P., Kong, X., ... & Wang, Y. (2018). Continuous Change Detection of Forest/Grassland and Cropland in the Loess Plateau of China Using All Available Landsat Data.Remote Sensing 10 (11), 1775

17.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.

18.Xie, S., Liu, L., Zhang, X., & Chen, X. (2018). Annual land-cover mapping based on multi-temporal cloud-contaminated landsat images. International Journal of Remote Sensing, DOI: 10.1080/01431161.2018.1553320.

19.Liu, L., & Zhang, X. (2018). Dynamic mapping of broadband visible albedo of soil background at global 500-m scale from MODIS satellite products. In SPIE Land Surface and Cryosphere Remote Sensing IV (Vol. 10777, p. 107770L).

20.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.

21.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.

22.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.

23.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.

24.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), 026032-026032.

25.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.

26.Liu X., Liu L. (2017). Influence of the canopy BRDF characteristics and illumination conditions on the retrieval of solar-induced chlorophyll fluorescence. International Journal of Remote Sensing, DOI:10.1080/01431161.2017.1404165

27.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.

28.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.

29.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.

30.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.

31.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.

32.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.

33.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.

34.D Peng, C Wu, B Zhang, A Huete, X Zhang, R Sun, L Lei, W Huang, L Liu. (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

35.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.

36.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.

37.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.

38.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.

39.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.

40.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.

41.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.

招收地图学与地理信息系统直博生/统考博士生。

招生方向：叶绿素荧光遥感，植被辐射传输模型，高分辨时序定量遥感

已指导学生

关琳琳 硕士研究生 070503-地图学与地理信息系统

李振旺 硕士研究生 070503-地图学与地理信息系统

孙晨曦 硕士研究生 070503-地图学与地理信息系统

赵晶晶 博士研究生 070503-地图学与地理信息系统

胡勇 博士研究生 070503-地图学与地理信息系统

胡姣婵 硕士研究生 085215-测绘工程

王志慧 博士研究生 070503-地图学与地理信息系统

王颖洁 硕士研究生 070503-地图学与地理信息系统

刘新杰 博士研究生 070503-地图学与地理信息系统

刘玲玲 博士研究生 070503-地图学与地理信息系统

关琳琳 博士研究生 070503-地图学与地理信息系统

张苏 博士研究生 070503-地图学与地理信息系统

胡姣婵 博士研究生 070503-地图学与地理信息系统

现指导学生

张肖 博士研究生 070503-地图学与地理信息系统

杜珊珊 博士研究生 070503-地图学与地理信息系统

陈曦东 博士研究生 070503-地图学与地理信息系统

钱晓瑾 博士研究生 070503-地图学与地理信息系统

马彦 博士研究生 070503-地图学与地理信息系统

宋博文 博士研究生 070503-地图学与地理信息系统

谢帅 博士研究生 070503-地图学与地理信息系统