光学定量遥感

2024年招生计划：博士生、硕士生共4人。

070503-地图学与地理信息系统
085700-资源与环境

陆地生态系统碳源汇定量遥感
叶绿素荧光遥感机理与模型
高分辨时序定量遥感算法与全球产品

1996-07--2000-12   中国科学院西安光学精密机械研究所   博士
1992-07--1996-07   淮北煤炭师范学院   大学本科

   

2019-04~现在, 中国科学院空天信息创新研究院, 研究员
2014-04~2019-03,中国科学院遥感与数字地球研究所, 研究员
2008-01~2014-03,中国科学对地观测与数字地球科学中心, 研究员
2002-12~2007-12,国家农业信息化工程技术研究中心, 副研、研究员
2002-12~2007-12,北京市农林科学院, 副研，研究员
2000-12~2002-12,中国科学院遥感应用研究所, 博士后

2021-08-01-今,西安科技大学, 博士生导师
2021-01-01-今,Fundamental Research, 编委
2021-01-01-今,地理科学, 副主编
2020-07-01-今,Journal of Remote Sensing, 执行主编

光学定量遥感原理与应用
光学遥感定量原理与应用
植被遥感

   

（1） 高光谱遥感机理与多学科应用, 二等奖, 国家级, 2018
（2） 国家杰出青年科学基金获得者, 国家级, 2018
（3） 国家“万人计划”科技创新领军人才入选者, 国家级, 2018
（4） 高光谱遥感集体, 部委级, 2016
（5） 天宫一号民用遥感数据处理系统, 三等奖, 部委级, 2013
（6） 农业定量遥感与应用, 三等奖, 省级, 2008
（7） 精准农业关键技术研究与示范, 二等奖, 国家级, 2007
（8） 精准农业关键技术研究与示范, 一等奖, 省级, 2006

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；

2018年：科技部中青年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] 黄铭瑞, 简洪登, 徐琛, 郝俊生, 闫珺, 刘良云, 范湘涛, 郭华东. 基于文献计量的遥感学科发展趋势分析. 遥感学报[J]. 2023, 1-, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20232659/.
[2] Chen, Siyuan, Liu, Liangyun, Sui, Lichun, Liu, Xinjie. Improving GPP estimates by partitioning green APAR from total APAR in two deciduous forest sites. JOURNAL OF FORESTRY RESEARCH[J]. 2023, 34(4): 915-927, http://dx.doi.org/10.1007/s11676-022-01546-6.
[3] 米军, 张肖, 刘良云. 1985~2020年上海市不透水面时空特征演化分析. 遥感技术与应用[J]. 2023, 38(2): 297-307, http://lib.cqvip.com/Qikan/Article/Detail?id=7109987128.
[4] Shanshan Du, Xinjie Liu, Jidai Chen, Weina Duan, Liangyun Liu. Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach. REMOTE SENSING OF ENVIRONMENT. 2023, 290: http://dx.doi.org/10.1016/j.rse.2023.113547.
[5] Siyuan Chen, Lichun Sui, Liangyun Liu, Xinjie Liu, Jonathan Li, Lingxiao Huang, Xing Li, Xiaojin Qian. NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2023, 122: 11-, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001063711500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[6] 刘良云, Yan lieshen. Enhancing Leaf Area Index Estimation for Maize with Tower-Based Multi-Angular Spectral Observations. Sensors[J]. 2023, 23: 9121-, https://doi.org/10.3390/s23229121.
[7] Liu, Xiaomi, Xie, Shuai, Yang, Jiangning, Sun, Lin, Liu, Liangyun, Zhang, Qing, Yang, Chenghai. Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping. COMPUTERS AND ELECTRONICS IN AGRICULTURE[J]. 2023, 211: http://dx.doi.org/10.1016/j.compag.2023.108015.
[8] Jie Zhu, Yuming Yin, Jingshan Lu, Timothy A Warner, Xinwen Xu, Mingyu Lyu, Xue Wang, Caili Guo, Tao Cheng, Yan Zhu, Weixing Cao, Xia Yao, Yongguang Zhang, Liangyun Liu. The relationship between wheat yield and sun-induced chlorophyll fluorescence from continuous measurements over the growing season. REMOTE SENSING OF ENVIRONMENT. 2023, 298: http://dx.doi.org/10.1016/j.rse.2023.113791.
[9] Zhang, Xiao, Liu, Liangyun, Zhao, Tingting, Chen, Xidong, Lin, Shangrong, Wang, Jinqing, Mi, Jun, Liu, Wendi. GWL_FCS30: a global 30 m wetland map with a fine classificationsystem using multi-sourced and time-series remote sensing imagery in 2020. EARTH SYSTEM SCIENCE DATA[J]. 2023, 15(1): 265-293, [10] Liangyun Liu, Duoduo Li, Jiaxin Du, Jun Yan, Xiaofeng Li, Zhongping Lee, JeanPhilippe GastelluEtchegorry, Yirong Wu. Progress and Focus of Journal of Remote Sensing in 2021–2022. JOURNAL OF REMOTE SENSING[J]. 2023, 3: https://doaj.org/article/91256e40ad9d47b9bfaa8719a73e4a1c.
[11] Qi, Mengjia, Liu, Xinjie, Du, Shanshan, Guan, Linlin, Chen, Ruonan, Liu, Liangyun. Improving the Estimation of Canopy Fluorescence Escape Probability in the Near-Infrared Band by Accounting for Soil Reflectance. REMOTE SENSING[J]. 2023, 15(18): http://dx.doi.org/10.3390/rs15184361.
[12] Rong Shang, Jing M Chen, Mingzhu Xu, Xudong Lin, Peng Li, Guirui Yu, Nianpeng He, Li Xu, Peng Gong, Liangyun Liu, Han Liu, Wenzhe Jiao. China’s current forest age structure will lead to weakened carbon sinks in the near future. THE INNOVATION[J]. 2023, 4(6): 100515-, https://doaj.org/article/e5f51d2af2a04f31914ac7d7628983b5.
[13] 闻建光, 柳钦火, 李增元, 李新, 刘绍民, 肖青, 高志海, 马明国, 车涛, 刘良云, 方红亮, 阎广建, 葛咏, 陈尔学, 张勇, 马灵玲, 吴小丹, 陈曦. 中国遥感实验与真实性检验的发展思考. 遥感学报[J]. 2023, 27(3): 573-583, http://lib.cqvip.com/Qikan/Article/Detail?id=7109455710.
[14] Qian, Xiaojin, Liu, Liangyun, Chen, Xidong, Zhang, Xiao, Chen, Siyuan, Sun, Qi. Global Leaf Chlorophyll Content Dataset (GLCC) from 2003-2012 to 2018-2020 Derived from MERIS and OLCI Satellite Data: Algorithm and Validation. REMOTE SENSING[J]. 2023, 15(3): http://dx.doi.org/10.3390/rs15030700.
[15] Du, Shanshan, Liu, Xinjie, Duan, Weina, Liu, Liangyun. Validation of solar-induced chlorophyll fluorescence products derived from OCO-2/3 observations using tower-based in situ measurements. REMOTE SENSING LETTERS[J]. 2023, 14(7): 713-721, http://dx.doi.org/10.1080/2150704X.2023.2234551.
[16] Zhao, Tingting, Zhang, Xiao, Gao, Yuan, Mi, Jun, Liu, Wendi, Wang, Jinqing, Jiang, Mihang, Liu, Liangyun. Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset. REMOTE SENSING[J]. 2023, 15(9): http://dx.doi.org/10.3390/rs15092285.
[17] Liu, Xinjie, Liu, Liangyun, Bacour, Cedric, Guanter, Luis, Chen, Jidai, Ma, Yan, Chen, Ruonan, Du, Shanshan. A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band. REMOTE SENSING OF ENVIRONMENT[J]. 2023, 284: http://dx.doi.org/10.1016/j.rse.2022.113341.
[18] Xiao Zhang, Liangyun Liu, Jinqing Wang, Tingting Zhao, Wendi Liu, Xidong Chen. Automated Mapping of Global 30-m Tidal Flats Using Time-Series Landsat Imagery: Algorithm and Products. JOURNAL OF REMOTE SENSING[J]. 2023, 3: https://doaj.org/article/67dcb00cadf642e48858fc520c1bc347.
[19] Song, Lisheng, Ding, Zhonghao, Kustas, William P, Hua, Wei, Liu, Xinjie, Liu, Liangyun, Liu, Shaomin, Ma, Mingguo, Bai, Yan, Xu, Ziwei. Applications of a Thermal-Based Two-Source Energy Balance Model Coupling the Sun-Induced Chlorophyll Fluorescence Data. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2023, 20: http://dx.doi.org/10.1109/LGRS.2023.3240996.
[20] Peiqi Yang, Xinjie Liu, Zhigang Liu, Christiaan van der Tol, Liangyun Liu. The roles of radiative, structural and physiological information of sun-induced chlorophyll fluorescence in predicting gross primary production of a corn crop at various temporal scales. AGRICULTURAL AND FOREST METEOROLOGY. 2023, 342: http://dx.doi.org/10.1016/j.agrformet.2023.109720.
[21] Meng, Xichen, Xie, Shuai, Sun, Lin, Liu, Liangyun, Han, Yilong. Evaluation of temporal compositing algorithms for annual land cover classification using Landsat time series data. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2023, 16(1): 2574-2598, http://dx.doi.org/10.1080/17538947.2023.2230958.
[22] Zhang, Yucong, Liu, Xinjie, Lei, Liping, Liu, Liangyun. Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest Regression Model. REMOTE SENSING[J]. 2022, 14(16): http://dx.doi.org/10.3390/rs14163899.
[23] Chen Ruonan, Liu, Xinjie, Chen Jidai, Liu, Liangyun. Solar-induced chlorophyll fluorescence imperfectly tracks the temperature response of photosynthesis in winter wheats. Journal of Experimental Botany[J]. 2022, erac388: 1-20, https://doi.org/10.1093/jxb/erac388.
[24] 刘良云, 宋博文. 陆地生态系统固碳速率立体监测方法：进展与挑战. 大气科学学报. 2022, 45(3): 321-331, https://d.wanfangdata.com.cn/periodical/njqxxyxb202203001.
[25] Zhang, Shaoqing, Lei, Liping, Sheng, Mengya, Song, Hao, Li, Luman, Guo, Kaiyuan, Ma, Caihong, Liu, Liangyun, Zeng, Zhaocheng. Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2. REMOTE SENSING[J]. 2022, 14(19): [26] Ma, Yan, Liu, Liangyun, Liu, Xinjie, Chen, Jidai. An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset. EUROPEAN JOURNAL OF REMOTE SENSING[J]. 2022, 55(1): 168-180, http://dx.doi.org/10.1080/22797254.2022.2028579.
[27] Zou, Chu, Liu, Liangyun, Du, Shanshan, Liu, Xinjie. Investigating the Potential Accuracy of Spaceborne Solar-Induced Chlorophyll Fluorescence Retrieval for 12 Capable Satellites Based on Simulation Data. Ieee Transactions on Geoscience and Remote Sensing[J]. 2022, 60: 1-13, [28] Zhang, Hu, Li, Jing, Liu, Qinhuo, Lin, Shangrong, Huete, Alfredo, Liu, Liangyun, Croft, Holly, Clevers, Jan G P W, Zeng, Yelu, Wang, Xiaohan, Gu, Chenpeng, Zhang, Zhaoxing, Zhao, Jing, Dong, Yadong, Mumtaz, Faisal, Yu, Wentao. A novel red-edge spectral index for retrieving the leaf chlorophyll content. METHODS IN ECOLOGY AND EVOLUTION[J]. 2022, 13(12): 2771-2787, https://www.doi.org/10.1111/2041-210X.13994.
[29] Chen, Xidong, Liu, Liangyun, Zhang, Xiao, Li, Junsheng, Wang, Shenglei, Gao, Yuan, Mi, Jun. Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020. HYDROLOGY AND EARTH SYSTEM SCIENCES[J]. 2022, 26(13): 3517-3536, [30] Shanshan Du, Xinjie Liu, Jidai Chen, Liangyun Liu. Prospects for Solar-Induced Chlorophyll Fluorescence Remote Sensing from the SIFIS Payload Onboard the TECIS-1 Satellite. 国际遥感学报(英文)[J]. 2022, 77-85, http://lib.cqvip.com/Qikan/Article/Detail?id=7109925361.
[31] Zhang, Xiao, Liu, Liangyun, Zhao, Tingting, Gao, Yuan, Chen, Xidong, Mi, Jun. GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform. EARTH SYSTEM SCIENCE DATA. 2022, 14(4): 1831-1856, http://dx.doi.org/10.5194/essd-14-1831-2022.
[32] Chen, Ruonan, Liu, Liangyun, Liu, Xinjie. The Negative Impact of Excessive Moisture Contributes to the Seasonal Dynamics of Photosynthesis in Amazon Moist Forests. EARTHS FUTURE[J]. 2022, 10(1): http://dx.doi.org/10.1029/2021EF002306.
[33] Ruonan Chen, Liangyun Liu, Xinjie Liu. Leaf chlorophyll contents dominates the seasonal dynamics of SIF/GPP ratio: Evidence from continuous measurements in a maize field. AGRICULTURAL AND FOREST METEOROLOGY. 2022, 323: http://dx.doi.org/10.1016/j.agrformet.2022.109070.
[34] Chen, Jidai, Liu, Xinjie, Ma, Yan, Liu, Liangyun. Effects of Low Temperature on the Relationship between Solar-Induced Chlorophyll Fluorescence and Gross Primary Productivity across Different Plant Function Types. REMOTE SENSING[J]. 2022, 14(15): http://dx.doi.org/10.3390/rs14153716.
[35] Wang, Yakai, Liu, Zhunqiao, Yu, Qiang, Liu, Liangyun, Liu, Xinjie, Li, Linchao, Jia, Qianlan, Guo, Chenhui, Lu, Xiaoliang. Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model. COMPUTERS AND ELECTRONICS IN AGRICULTURE[J]. 2022, 203: http://dx.doi.org/10.1016/j.compag.2022.107494.
[36] Mi, Jun, Liu, Liangyun, Zhang, Xiao, Chen, Xidong, Gao, Yuan, Xie, Shuai. Impact of geometric misregistration in GlobeLand30 on land-cover change analysis, a case study in China. JOURNAL OF APPLIED REMOTE SENSING[J]. 2022, 16(1): http://dx.doi.org/10.1117/1.JRS.16.014516.
[37] Feng, Huaize, Xu, Tongren, Liu, Liangyun, Zhou, Sha, Zhao, Jingxue, Liu, Shaomin, Xu, Ziwei, Mao, Kebiao, He, Xinlei, Zhu, Zhongli, Chai, Linna. Modeling Transpiration with Sun-Induced Chlorophyll Fluorescence Observations via Carbon-Water Coupling Methods. REMOTE SENSING[J]. 2021, 13(4): https://doaj.org/article/eb264dc8769d4244843d3a3a86ca27b8.
[38] Sun, Qi, Jiao, Quanjun, Liu, Liangyun, Liu, Xinjie, Qian, Xiaojin, Zhang, Xiao, Zhang, Bing. Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 5515-5528, http://dx.doi.org/10.1109/JSTARS.2021.3082621.
[39] Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao. Estimating Leaf Area Index with Dynamic Leaf Optical Properties. REMOTE SENSING[J]. 2021, 13: [40] Chen, Jidai, Liu, Xinjie, Du, ShanShan, Ma, Yan, Liu, Liangyun. Effects of Drought on the Relationship Between Photosynthesis and Chlorophyll Fluorescence for Maize. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 11148-11161, http://dx.doi.org/10.1109/JSTARS.2021.3123111.
[41] Song, Bowen, Liu, Liangyun, Du, Shanshan, Zhang, Xiao, Chen, Xidong, Zhang, Helin. ValLAI_Crop, a validation dataset for coarse-resolution satellite LAI products over Chinese cropland. SCIENTIFIC DATA[J]. 2021, 8(1): http://dx.doi.org/10.1038/s41597-021-01024-4.
[42] Shanshan Du, Liangyun Liu, Xinjie Liu, Jidai Chen. First Investigation of the Relationship Between Solar-Induced Chlorophyll Fluorescence Observed by TanSat and Gross Primary Productivity. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: [43] Yirong Wu, Liangyun Liu, Xiaofeng Li, JeanPhilippe GastelluEtchegorry, Jun Yan. Journal of Remote Sensing: A Platform to Promote International High-Quality Research and Innovation. 国际遥感学报(英文)[J]. 2021, 94-95, http://lib.cqvip.com/Qikan/Article/Detail?id=7106382439.
[44] Peng, Dailiang, Wang, Yan, Xian, George, Huete, Alfredo R, Huang, Wenjiang, Shen, Miaogen, Wang, Fumin, Yu, Le, Liu, Liangyun, Xie, Qiaoyun, Liu, Lingling, Zhang, Xiaoyang. Investigation of land surface phenology detections in shrublands using multiple scale satellite data. REMOTE SENSING OF ENVIRONMENT[J]. 2021, 252: http://dx.doi.org/10.1016/j.rse.2020.112133.
[45] Song, Bowen, Liu, Liangyun, Zhao, Jingjing, Chen, Xidong, Zhang, Helin, Gao, Yuan, Zhang, Xiao. Validation of Four Coarse-Resolution Leaf Area Index Products Over Croplands in China Using Field Measurements. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 9372-9382, http://dx.doi.org/10.1109/JSTARS.2021.3108172.
[46] Hu, Jiaochan, Liu, Liangyun, Yu, Haoyang, Guan, Linlin, Liu, Xinjie. Upscaling GOME-2 SIF from clear-sky instantaneous observations to all-sky sums leading to an improved SIF-GPP correlation. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2021, 306: http://dx.doi.org/10.1016/j.agrformet.2021.108439.
[47] Xiao Zhang, Liangyun Liu, Xidong Chen, Yuan Gao, Mihang Jiang. Automatically Monitoring Impervious Surfaces Using Spectral Generalization and Time Series Landsat Imagery from 1985 to 2020 in the Yangtze River Delta. JOURNAL OF REMOTE SENSING[J]. 2021, [48] Liu, Xinjie, Liu, Zhunqiao, Liu, Liangyun, Lu, Xiaoliang, Chen, Jidai, Du, Shanshan, Zou, Chu. Modelling the influence of incident radiation on the SIF-based GPP estimation for maize. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2021, 307: http://dx.doi.org/10.1016/j.agrformet.2021.108522.
[49] X Zhang, L Liu, X Chen, Y Gao, S Xie, J Mi. GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery. EARTH SYSTEM SCIENCE DATA[J]. 2021, 13: https://doaj.org/article/b9d98244ecbd457e86d63615c7c25868.
[50] 金航, 竞霞, 高媛, 刘良云. 遥感探测小麦条锈病严重度的GBRT模型研究. 遥感技术与应用[J]. 2021, 36(2): 411-419, http://lib.cqvip.com/Qikan/Article/Detail?id=7104870089.
[51] Chen, Ruonan, Liu, Liangyun, Liu, Xinjie. Satellite-Based Observations Reveal the Altitude-Dependent Patterns of SIFyield and Its Sensitivity to Ambient Temperature in Tibetan Meadows. REMOTE SENSING[J]. 2021, 13(7): http://dx.doi.org/10.3390/rs13071400.
[52] Zhang, Xiao, Liu, Liangyun, Chen, Xidong, Gao, Yuan, Xie, Shuai, Mi, Jun. GLC_FCS30: global land-cover product with fine classification system at 30m using time-series Landsat imagery. EARTH SYSTEM SCIENCE DATA[J]. 2021, 13(6): 2753-2776, [53] Chen, Xidong, Liu, Liangyun, Zhang, Xiao, Li, Junsheng, Wang, Shenglei, Liu, Dong, Duan, Hongtao, Song, Kaishan. An Assessment of Water Color for Inland Water in China Using a Landsat 8-Derived Forel-Ule Index and the Google Earth Engine Platform. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 5773-5785, [54] Yao, Lu, Yang, Dongxu, Liu, Yi, Wang, Jing, Liu, Liangyun, Du, Shanshan, Cai, Zhaonan, Lu, Naimeng, Lyu, Daren, Wang, Maohua, Yin, Zengshan, Zheng, Yuquan. A New Global Solar-induced Chlorophyll Fluorescence (SIF) Data Product from TanSat Measurements. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2021, 38(3): 341-345, http://lib.cqvip.com/Qikan/Article/Detail?id=7103892075.
[55] Zhang, Yongguang, Zhang, Qian, Liu, Liangyun, Zhang, Yangjian, Wang, Shaoqiang, Ju, Weimin, Zhou, Guangsheng, Zhou, Li, Tang, Jianwu, Zhu, Xudong, Wang, Feng, Huang, Ying, Zhang, Zhaoying, Qiu, Bo, Zhang, Xiaokang, Wang, Songhan, Huang, Changping, Tang, Xuguang, Zhang, Jinsong. ChinaSpec: A Network for Long-Term Ground-Based Measurements of Solar-Induced Fluorescence in China. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES[J]. 2021, 126(3): http://dx.doi.org/10.1029/2020JG006042.
[56] Qi Sun, Quanjun Jiao, Xiaojin Qian, Liangyun Liu, Xinjie Liu, Huayang Dai. Improving the Retrieval of Crop Canopy Chlorophyll Content Using Vegetation Index Combinations. REMOTE SENSING[J]. 2021, 13(3): https://doaj.org/article/0d002e7f50ed4d59a473a36ece1c447f.
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[126] 刘良云. Bi-Directional Fluorescence Distribution and its Correction for Estimates of Gross Ecosystem Productivity and Photosynthetic Light-Use Efficiency. EGUGENERALASSEMBLYCONFERENCEABSTRACTS. 2015, [127] Qiao, Chen, Sun, Rui, Xu, Ziwei, Zhang, Lei, Liu, Liangyun, Hao, Lvyuan, Jiang, Guoqing. 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[J]. 2015, 12(2): 369-373, http://www.irgrid.ac.cn/handle/1471x/1047612.
[128] Liu, Xinjie, Liu, Liangyun. Improving Chlorophyll Fluorescence Retrieval Using Reflectance Reconstruction Based on Principal Components Analysis. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2015, 12(8): 1645-1649, http://www.irgrid.ac.cn/handle/1471x/1047268.
[129] Liu, Lingling, Liang, Liang, Schwartz, Mark D, Donnelly, Alison, Wang, Zhuosen, Schaaf, Crystal B, Liu, Liangyun. Evaluating the potential of MODIS satellite data to track temporal dynamics of autumn phenology in a temperate mixed forest. REMOTE SENSING OF ENVIRONMENT[J]. 2015, 160: 156-165, http://dx.doi.org/10.1016/j.rse.2015.01.011.
[130] Liu, Xinjie, Liu, Liangyun, Zhang, Su, Zhou, Xianfeng. New Spectral Fitting Method for Full-Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval Based on Principal Components Analysis. REMOTE SENSING[J]. 2015, 7(8): 10626-10645, https://doaj.org/article/c9e42235123e4224bb49c30b5da4ee44.
[131] Zhao, Feng, Guo, Yiqing, Huang, Yanbo, Verhoef, Wout, van der Tol, Christiaan, Dai, Bo, Liu, Liangyun, Zhao, Huijie, Liu, Guang. Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion. REMOTE SENSING[J]. 2015, 7(10): 14179-14199, http://www.irgrid.ac.cn/handle/1471x/1047494.
[132] 王颖洁, 刘良云, 王志慧. 基于时序Landsat数据的三江平原植被地表类型变化遥感探测研究. 遥感技术与应用[J]. 2015, 30(5): 959-968, https://d.wanfangdata.com.cn/periodical/ygjsyyy201505018.
[133] 胡勇, 刘良云, CACCETTA Peter, 焦全军. 光谱特征扩展的时间序列Landsat数据地表覆盖分类. 遥感学报[J]. 2015, 19(4): 639-656, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20154193/.
[134] Liu, Liangyun, Liu, Xinjie, Hu, Jiaochan. 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[J]. 2015, 48: 743-762, http://www.irgrid.ac.cn/handle/1471x/1047659.
[135] Wang, Zhihui, Bastin, Gary N, Liu, Liangyun, Caccetta, Peter A, Peng, Dailiang. Estimating woody above-ground biomass in an arid zone of central Australia using Landsat imagery. JOURNAL OF APPLIED REMOTE SENSING[J]. 2015, 9: http://www.irgrid.ac.cn/handle/1471x/1047287.
[136] Liu, Liangyun, Peng, Dailiang, Wang, Zhihui, Hu, Yong. Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks. ENVIRONMENTAL MONITORING AND ASSESSMENT[J]. 2014, 186(11): 7293-7306, https://www.webofscience.com/wos/woscc/full-record/WOS:000343051400023.
[137] Liu Liangyun, Huang Wenjiang, Pu Ruiliang, Wang Jihua. Detection of Internal Leaf Structure Deterioration Using a New Spectral Ratio Index in the Near-Infrared Shoulder Region. JOURNAL OF INTEGRATIVE AGRICULTURE[J]. 2014, 13(4): 760-769, http://lib.cqvip.com/Qikan/Article/Detail?id=49517053.
[138] Jiao, Quanjun, Zhang, Bing, Liu, Liangyun, Li, Zhenwang, Yue, Yuemin, Hu, Yong. Assessment of spatio-temporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data. NATURAL HAZARDS[J]. 2014, 70(2): 1309-1326, http://ir.ceode.ac.cn/handle/183411/28667.
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[141] Zhao, Feng, Guo, Yiqing, Verhoef, Wout, Gu, Xingfa, Liu, Liangyun, Yang, Guijun. A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements. REMOTE SENSING[J]. 2014, 6(10): 10171-10192, https://doaj.org/article/2ae0613fed404d9aa21c08cddb6cb8f7.
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[146] 张健, 刘良云, 焦全军, 彭代亮. 基于能量平衡原理的FPAR遥感反演研究. 遥感技术与应用[J]. 2014, 976-983, http://lib.cqvip.com/Qikan/Article/Detail?id=89717483504849524854484951.
[147] 胡勇, 刘良云, 张九星, 李绪志. 基于MODIS大气产品的天宫一号高光谱成像仪数据大气校正研究. 遥感技术与应用[J]. 2014, 1060-1066, http://lib.cqvip.com/Qikan/Article/Detail?id=89717483504849524854485051.
[148] Li, Zhenwang, Jiao, Quanjun, Liu, Liangyun, Tang, Huan, Liu, Tong. Monitoring Geologic Hazards and Vegetation Recovery in the Wenchuan Earthquake Region Using Aerial Photography. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2014, 3(1): 368-390, https://doaj.org/article/04b81087899e4995856fbc624ab3e556.
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[153] 孙晨曦, 刘良云, 关琳琳, 焦全军, 彭代亮. 锡林浩特草原区域MODIS LAI产品真实性检验与误差分析. 遥感学报[J]. 2014, 18(3): 518-536, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20143097/.
[154] Peng, Dailiang, Huang, Jingfeng, Li, Cunjun, Liu, Liangyun, Huang, Wenjiang, Wang, Fuming, Yang, Xiaohua. Modelling paddy rice yield using MODIS data. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2014, 184: 107-116, http://dx.doi.org/10.1016/j.agrformet.2013.09.006.
[155] Liu, Liangyun, Peng, Dailiang, Wang, Zhihui, Hu, Yong, Jackson, TJ, Chen, JM, Gong, P, Liang, S. Mapping afforestation and forest biomass using time-series Landsat stacks. LAND SURFACE REMOTE SENSING IInull. 2014, 9260: [156] 尹晓利, 张丽, 许君一, 刘良云. 融合数据在草地生物量估算中的应用. 国土资源遥感[J]. 2013, 25(4): 147-154, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4991822&detailType=1.
[157] 王志慧, 李世明, 刘良云, 时爽. 基于MODIS NDVI时间序列的土地覆盖分层分类方法研究. 遥感技术与应用[J]. 2013, 28(5): 910-919, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4989301&detailType=1.
[158] 彭代亮, 周斌, 刘良云, 吴耀平, 杨晓华. 北美永久湿地NDVI时序变化特征分析--以哈德逊湾西南湿地区域为例. 遥感技术与应用[J]. 2013, 28(6): 1054-1061, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5012409&detailType=1.
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[160] 张苏, 刘良云, 黄文江. 基于植被指数的叶绿素密度遥感反演建模与适用性研究. 遥感信息[J]. 2013, 28(3): 94-101,111, http://lib.cqvip.com/Qikan/Article/Detail?id=46239825.
[161] 李振旺, 刘良云, 张浩, 张九星, 李绪志. 天宫一号高光谱成像仪在轨辐射定标与验证. 遥感技术与应用[J]. 2013, 28(5): 850-856, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4989293&detailType=1.
[162] 刘新杰, 刘良云, 李绪志, 张九星. 天宫一号高光谱成像仪数据与环境星CCD数据分类效果比较研究. 遥感信息[J]. 2013, 28(3): 74-79, http://lib.cqvip.com/Qikan/Article/Detail?id=46239821.
[163] Liu, Liangyun, Peng, Dailiang, Hu, Yong, Jiao, Quanjun. A Novel in Situ FPAR Measurement Method for Low Canopy Vegetation Based on a Digital Camera and Reference Panel. REMOTE SENSING[J]. 2013, 5(1): 274-281, http://ir.ceode.ac.cn/handle/183411/28861.
[164] 唐欢, 刘良云, 贾建华, 胡勇. 基于多时相光谱和物候特征的陕西省神木县地物遥感分类研究. 遥感信息[J]. 2013, 76-81, http://lib.cqvip.com/Qikan/Article/Detail?id=45519285.
[165] Liu, Liangyun, Tang, Huan, Caccetta, Peter, Lehmann, Eric A, Hu, Yong, Wu, Xiaoliang. 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[J]. 2013, 185(12): 9949-9965, http://ir.ceode.ac.cn/handle/183411/28869.
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[167] 王志慧, 刘良云. 黑河中游绿洲灌溉区土地覆盖与种植结构空间格局遥感监测. 地球科学进展[J]. 2013, 28(8): 948-956, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4930166&detailType=1.
[168] 赵晶晶, 刘良云. 基于通量塔观测资料的北美温带植被物候阈值提取方法. 应用生态学报[J]. 2013, 24(2): 311-318, http://ir.ceode.ac.cn/handle/183411/33353.
[169] 刘良云. Assessing photosynthetic light-use efficiency using solar-induced chlorophyll fluorescence and photochemical reflectance index (PRI).. 2013, [170] 孙晨曦, 刘良云, 关琳琳. 内蒙古锡林浩特草原GLASS LAI产品的真实性检验. 遥感技术与应用[J]. 2013, 28(6): 949-954, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5012394&detailType=1.
[171] 焦全军, 张兵, 赵晶晶, 刘良云, 胡勇. 基于航空高光谱影像的青海省玛多县高寒草原景观格局特征分析. 草业学报[J]. 2012, 21(2): 43-50, http://lib.cqvip.com/Qikan/Article/Detail?id=41816241.
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[176] 刘良云, 关琳琳, 彭代亮, 胡勇, 刘玲玲. C3、C4作物的光保护机制差异的光谱探测研究. 遥感学报[J]. 2012, 16(4): 783-795, http://lib.cqvip.com/Qikan/Article/Detail?id=42460428.
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[179] 刘玲玲, 刘良云, 胡勇. 1982-2006年欧亚大陆植被生长季开始时间遥感监测分析. 地理科学进展[J]. 2012, 31(11): 1433-1442, http://ir.ceode.ac.cn/handle/183411/33047.
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[184] 吴国玺, 喻铮铮, 刘良云. 区域景观格局变化及生态修复——以北京门头沟区为例. 地理研究[J]. 2011, 30(7): 1227-1236, http://lib.cqvip.com/Qikan/Article/Detail?id=38509380.
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[196] 贾建华, 胡勇, 刘良云. 青藏高原数字照片植被覆盖度自动算法与应用. 地球信息科学学报[J]. 2010, 880-885, http://lib.cqvip.com/Qikan/Article/Detail?id=36237373.
[197] 张永江, 刘良云, 侯名语, 刘连涛, 李存东. 植物叶绿素荧光遥感研究进展. 遥感学报[J]. 2009, 963-978, http://lib.cqvip.com/Qikan/Article/Detail?id=31606723.
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[236] 刘良云, 李英才. 超分辨率图象重构技术的仿真实验研究. 中国图象图形学报：A辑[J]. 2001, 6(7): 629-635, http://lib.cqvip.com/Qikan/Article/Detail?id=5376873.
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（1） 植被定量遥感原理与应用, 科学出版社, 2014-06, 第 1 作者
（2） 植被高光谱遥感, 湖北科学出版社, 2021-03, 第 1 作者

   

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（ 2 ） 国家杰青项目：植被定量遥感, 负责人, 国家任务, 2019-01--2023-12
（ 3 ） 中科院重点部署项目：TanSat卫星科学产品与全球碳收支估算, 负责人, 中国科学院计划, 2019-01--2021-12
（ 4 ） 万人计划科技创新领军人才, 负责人, 国家任务, 2019-01--2022-12
（ 5 ） 国家重点研发项目：下一代碳卫星及全球碳盘点遥感科学产品与应用, 负责人, 国家任务, 2023-12--2027-11
（ 6 ） CBAS卓越科学家项目：全球30米精细地表覆盖动态更新算法与产品, 负责人, 研究所自主部署, 2022-08--2023-12
（ 7 ） 国家重点研发项目：面向碳盘点的下一代全球碳监测科学实验卫星, 参与, 国家任务, 2022-12--2026-11