基本信息

刘良云  男  博导  中国科学院空天信息创新研究院
电子邮件: liuly@radi.ac.cn
通信地址: 北京市海淀区邓庄南路9号
邮政编码: 100094

中国科学院特聘研究员、国科大岗位教授,国家杰出青年科学基金、万人计划科技创新领军人才获得者,国家重点研发项目负责人。担任SCIENCE伙伴期刊《Journal of Remote Sensing》执行主编,长期从事植被定量遥感研究,出版《植被定量遥感原理与应用》专著,并入选中国科学院大学精品课程教材。

研究领域

光学定量遥感

招生信息

2022年招生计划:博士生3人,硕士生1人。

招生专业
070503-地图学与地理信息系统
085700-资源与环境
研究方向
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

教育背景

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

工作经历

   
工作简历
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,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
社会兼职
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

教授课程

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

科技奖励

   
奖励信息
(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
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;

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。

出版信息

   
发表论文
[1] 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.
[2] Qian, Xiaojin, Liu, Liangyun, Chen, Xidong, ZarcoTejada, Pablo. Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 5352-5360, http://dx.doi.org/10.1109/JSTARS.2021.3081704.
[3] Liangyun Liu, Xiao Zhang, Yuan Gao, Xidong Chen, Xie Shuai, Jun Mi. Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects. Journal of Remote Sensing[J]. 2021, https://doaj.org/article/e2df6b60ea9c4e008471d60294291aa4.
[4] Zou, Chu, Du, Shanshan, Liu, Xinjie, Liu, Liangyun, Wang, Yuyang, Li, Zhen. Optimizing the Empirical Parameters of the Data-Driven Algorithm for SIF Retrieval for SIFIS Onboard TECIS-1 Satellite. Sensors[J]. 2021, 21(10): [5] Qian, X, Liu, L, Croft, H, Chen, J. Relationship Between Leaf Maximum Carboxylation Rate and Chlorophyll Content Preserved Across 13 Species. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES[J]. 2021, 126(2): https://www.webofscience.com/wos/woscc/full-record/WOS:000624413700005.
[6] 刘良云, 白雁, 孙睿, 牛振国. “全球生态系统碳循环关键参数立体观测与反演”项目概述与研究进展. 遥感技术与应用. 2021, 36(1): 11-24, http://lib.cqvip.com/Qikan/Article/Detail?id=7104556120.
[7] 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.
[8] 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: [9] 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.
[10] 刘良云. Journal of Remote Sensing: A Platform to Promote International High-Quality Research and Innovatio. Journal of Remote Sensing. 2021, [11] 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.
[12] 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.
[13] 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: [14] 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.
[15] 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.
[16] 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.
[17] 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, [18] 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.
[19] 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.
[20] 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. 2021, 36(2): 411-419, [21] 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, [22] 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.
[23] 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, [24] 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.
[25] 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.
[26] Wang, Yan, Peng, Dailiang, Shen, Miaogen, Xu, Xiyan, Yang, Xiaohua, Huang, Wenjiang, Yu, Le, Liu, Liangyun, Li, Cunjun, Li, Xinwu, Zheng, Shijun, Zhang, Helin. Contrasting Effects of Temperature and Precipitation on Vegetation Greenness along Elevation Gradients of the Tibetan Plateau. REMOTE SENSING[J]. 2020, 12(17): https://doaj.org/article/04914d5bc93e49eeb824651eb11e5ce2.
[27] Siyuan Chen, Liangyun Liu, Xue He, Zhigang Liu, Dailiang Peng. Upscaling from Instantaneous to Daily Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products. REMOTE SENSING[J]. 2020, 12(13): https://doaj.org/article/b1c6ca95ea3d4e3d9a9b36e2ccc654ff.
[28] Shuai Xie, Liangyun Liu, Jiangning Yang. Time-Series Model-Adjusted Percentile Features: Improved Percentile Features for Land-Cover Classification Based on Landsat Data. REMOTE SENSING[J]. 2020, 12(18): https://doaj.org/article/867b80850ac64991b5dd7e11f0760c05.
[29] Liu, Xinjie, Liu, Liangyun, Hu, Jiaochan, Guo, Jian, Du, Shanshan. Improving the potential of red SIF for estimating GPP by downscaling from the canopy level to the photosystem level. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2020, 281: http://dx.doi.org/10.1016/j.agrformet.2019.107846.
[30] Zhang, Xiao, Liu, Liangyun, Wu, Changshan, Chen, Xidong, Gao, Yuan, Xie, Shuai, Zhang, Bing. Development of a global 30m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform. EARTH SYSTEM SCIENCE DATA. 2020, 12(3): 1625-1648, https://www.webofscience.com/wos/woscc/full-record/WOS:000551468700001.
[31] Xiaojin Qian, Liangyun Liu. Retrieving Crop Leaf Chlorophyll Content Using an Improved Look-Up-Table Approach by Combining Multiple Canopy Structures and Soil Backgrounds. REMOTE SENSING[J]. 2020, 12(13): https://doaj.org/article/ad47daa549f74f33833cc032a30dfc1c.
[32] 孙伟伟, 杨刚, 陈超, 常明会, 黄可, 孟祥珍, 刘良云. 中国地球观测遥感卫星发展现状及文献分析. 遥感学报[J]. 2020, 24(5): 479-510, http://lib.cqvip.com/Qikan/Article/Detail?id=7101932122.
[33] Chen, Jidai, Liu, Xinjie, Du, Shanshan, Ma, Yan, Liu, Liangyun. Integrating SIF and Clearness Index to Improve Maize GPP Estimation Using Continuous Tower-Based Observations. SENSORS[J]. 2020, 20(9): http://dx.doi.org/10.3390/s20092493.
[34] Chen, Xidong, Liu, Liangyun, Zhang, Xiao, Xie, Shuai, Lei, Liping. A Novel Water Change Tracking Algorithm for Dynamic Mapping of Inland Water Using Time-Series Remote Sensing Imagery. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2020, 13: 1661-1674, https://doaj.org/article/c7bc369de3a54d6cb1cc0c009a43f416.
[35] Du, Shanshan, Liu, Liangyun, Liu, Xinjie, Zhang, Xinwei, Gao, Xianlian, Wang, Weigang. The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects. SENSORS[J]. 2020, 20(3): https://doaj.org/article/bb3ce0f88e594a868319608ff26404a0.
[36] Yuan Gao, Liangyun Liu, Xiao Zhang, Xidong Chen, Jun Mi, Shuai Xie. Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset. REMOTE SENSING[J]. 2020, 12(21): https://doaj.org/article/a2262ea0a5f04d80a90c6b33b3f71424.
[37] Bie, Nian, Lei, Liping, He, Zhonghua, Zeng, Zhaocheng, Liu, Liangyun, Zhang, Bing, Cai, Bofeng. Specific patterns of XCO2 observed by GOSAT during 2009-2016 and assessed with model simulations over China. SCIENCE CHINA-EARTH SCIENCES[J]. 2020, 63(3): 384-394, https://www.webofscience.com/wos/woscc/full-record/WOS:000515172700004.
[38] Liangyun Liu, Xinjie Liu, Jidai Chen, Shanshan Du, Yan Ma, Xiaojin Qian, Siyuan Chen, Dailiang Peng. Estimating maize GPP using near-infrared radiance of vegetation. Science of Remote Sensing. 2020, 2: http://dx.doi.org/10.1016/j.srs.2020.100009.
[39] Chen, Xidong, Liu, Liangyun, Gao, Yuan, Zhang, Xiao, Xie, Shuai. A Novel Classification Extension-Based Cloud Detection Method for Medium-Resolution Optical Images. REMOTE SENSING[J]. 2020, 12(15): https://doaj.org/article/5681eea77eab43cdb09603cf003e1d2b.
[40] 高媛, 竞霞, 刘良云, 白宗璠. 基于多核支持向量机的小麦条锈病遥感监测研究. 麦类作物学报[J]. 2020, 40(1): 118-126, http://lib.cqvip.com/Qikan/Article/Detail?id=7100903653.
[41] X Zhang, L Liu, C Wu, X Chen, Y Gao, S Xie, B Zhang. Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform. Earth System Science Data[J]. 2020, 12: https://doaj.org/article/cc42d8f496cb4c89870027f29548caa2.
[42] Yan Ma, Liangyun Liu, Ruonan Chen, Shanshan Du, Xinjie Liu. Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity. REMOTE SENSING[J]. 2020, 12(13): https://doaj.org/article/1632b74a08c54e1e902ad0b94d5d12b0.
[43] Song, Bowen, Liu, Liangyun, Zhang, Bing. A novel restoration approach for vegetation reflectance spectra at noisy bands using the principal component analysis method. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2020, 41(6): 2303-2325, https://www.webofscience.com/wos/woscc/full-record/WOS:000494908100001.
[44] Jiao, Quanjun, Liu, Liangyun, Liu, Jiangui, Zhang, Hao, Zhang, Bing. Atmospherically resistant vegetation water indices using the 970-nm water absorption feature. JOURNAL OF APPLIED REMOTE SENSING[J]. 2020, 14(3): http://dx.doi.org/10.1117/1.JRS.14.034504.
[45] Zhang, Xiao, Liu, Liangyun, Chen, Xidong, Xie, Shuai, Gao, Yuan. Fine Land-Cover Mapping in China Using Landsat Datacube and an Operational SPECLib-Based Approach. REMOTE SENSING[J]. 2019, 11(9): https://doaj.org/article/b51d12b8b99c4b43aa561b59cf650fcc.
[46] Wang, Siheng, Yang, Dong, Li, Zhen, Liu, Liangyun, Huang, Changping, Zhang, Lifu. A Global Sensitivity Analysis of Commonly Used Satellite-Derived Vegetation Indices for Homogeneous Canopies Based on Model Simulation and Random Forest Learning. REMOTE SENSING[J]. 2019, 11(21): https://doaj.org/article/b42a305fdc0c4b42961f789af7f86f89.
[47] 陈曦东, 张肖, 刘良云, 汪晓帆. 增强型多时相云检测. 遥感学报[J]. 2019, 23(2): 280-290, http://lib.cqvip.com/Qikan/Article/Detail?id=7001721131.
[48] Liu, Xinjie, Guanter, Luis, Liu, Liangyun, Damm, Alexander, Malenovsky, Zbynek, Rascher, Uwe, Peng, Dailiang, Du, Shanshan, GastelluEtchegorry, JeanPhilippe. Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model. REMOTE SENSING OF ENVIRONMENT[J]. 2019, 231: http://dx.doi.org/10.1016/j.rse.2018.05.035.
[49] Qian, Xiaojin, Zhang, Yongjiang, Liu, Liangyun, Du, Shanshan. Exploring the potential of leaf reflectance spectra for retrieving the leaf maximum carboxylation rate. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2019, 40(14): 5411-5428, https://www.webofscience.com/wos/woscc/full-record/WOS:000465406100007.
[50] Zhang, Xiao, Liu, Liangyun, Chen, Xidong, Xie, Shuai, Lei, Liping. 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[J]. 2019, 12(1): 123-134, [51] Liu, Xinjie, Guo, Jian, Hu, Jiaochan, Liu, Liangyun. Atmospheric Correction for Tower-Based Solar-Induced Chlorophyll Fluorescence Observations at O-2-A Band. REMOTE SENSING[J]. 2019, 11(3): https://doaj.org/article/84941df32f81444f8fb107cda567fb20.
[52] Liangyun Liu, Xiao Zhang, Shuai Xie, Xinjie Liu, Bowen Song, Siyuan Chen, Dailiang Peng. Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance Residual Method: Algorithm and Validation. Remote Sensing[J]. 2019, 11(9): https://doaj.org/article/36ad58b7f044476688adfbd1985948c9.
[53] Xie, Shuai, Liu, Liangyun, Zhang, Xiao, Chen, Xidong. Annual land-cover mapping based on multi-temporal cloud-contaminated landsat images. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2019, 40(10): 3855-3877, [54] Peng, Dailiang, Zhang, Helin, Liu, Liangyun, Huang, Wenjiang, Huete, Alfredo R, Zhang, Xiaoyang, Wang, Fumin, Yu, Le, Xie, Qiaoyun, Wang, Cheng, Luo, Shezhou, Li, Cunjun, Zhang, Bing. Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables. REMOTE SENSING[J]. 2019, 11(19): https://doaj.org/article/5cfda9746f094082bb8fbbd70af64464.
[55] 陈思媛, 竞霞, 董莹莹, 刘良云. 基于日光诱导叶绿素荧光与反射率光谱的小麦条锈病探测研究. 遥感技术与应用[J]. 2019, 34(3): 511-520, http://lib.cqvip.com/Qikan/Article/Detail?id=7002441393.
[56] Chen, Siyuan, Liu, Liangyun, Zhang, Xiao, Liu, Xinjie, Chen, Xidong, Qian, Xiaojin, Xu, Yue, Xie, Donghui. Retrieval of the Fraction of Radiation Absorbed by Photosynthetic Components (FAPAR(green)) for Forest Using a Triple-Source Leaf-Wood-Soil Layer Approach. Remote Sensing[J]. 2019, 11(21): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000504716700012.
[57] Du, Shanshan, Liu, Liangyun, Liu, Xinjie, Guo, Jian, Hu, Jiaochan, Wang, Shaoqiang, Zhang, Yongguang. SIFSpec: Measuring Solar-Induced Chlorophyll Fluorescence Observations for Remote Sensing of Photosynthesis. SENSORS[J]. 2019, 19(13): https://doaj.org/article/2e415cc928244d8998e48fbfad9cb1e5.
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[132] 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. 2012, 16(4): 783-795, http://lib.cqvip.com/Qikan/Article/Detail?id=42460428.
[133] 赵晶晶, 刘良云. 物候变化对北美温带落叶阔叶林生态系统生产力的影响. 植物生态学报. 2012, 36(5): 363-371, http://lib.cqvip.com/Qikan/Article/Detail?id=41869573.
[134] 刘良云. Monitoring the distribution of C3 and C4 grasses in a temperate grassland in northern China using moderate resolution imaging spectroradiometer normalized difference vegetation index trajectorie.. Journal of Applied Remote Sensing. 2012, [135] Guan, Linlin, Liu, Liangyun, Peng, Dailiang, Hu, Yong, Jiao, Quanjun, Liu, Lingling. 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[J]. 2012, 6(13): http://ir.ceode.ac.cn/handle/183411/28515.
[136] 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.
[137] Zhao, Chunjiang, Bao, Yansong, Cheng, Maosi, Huang, Wenjiang, Liu, Liangyun. 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[J]. 2012, 33(4): 1029-1041, http://ir.ceode.ac.cn/handle/183411/29599.
[138] 刘玲玲, 刘良云, 胡勇. 基于AVHRR和MODIS数据的全球植被物候比较分析. 遥感技术与应用. 2012, 27(5): 754-762, http://lib.cqvip.com/Qikan/Article/Detail?id=43593513.
[139] Peng, Dailiang, Zhang, Bing, Liu, Liangyun, Fang, Hongliang, Chen, Dongmei, Hu, Yong, Liu, Lingling. Characteristics and drivers of global NDVI-based FPAR from 1982 to 2006. GLOBAL BIOGEOCHEMICAL CYCLES[J]. 2012, 26: http://dx.doi.org/10.1029/2011GB004060.
[140] 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. 2012, 21(2): 43-50, http://lib.cqvip.com/Qikan/Article/Detail?id=41816241.
[141] Peng, Dailiang, Zhang, Bing, Liu, Liangyun, Chen, Dongmei, Fang, Hongliang, Hu, Yong. Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2012, 5(5): 439-455, http://www.irgrid.ac.cn/handle/1471x/913746.
[142] Jiao Quanjun, Zhang Bing, Liu Liangyun, He Yongtao, Hu Yong. Analysis on Vegetations Spectral Characteristics along the Altitudinal Gradients in South-Facing Slope of Dangxiong Valley. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2012, 32(10): 2810-2814, http://ir.ceode.ac.cn/handle/183411/29999.
[143] 赵晶晶, 刘良云, 徐自为, 焦全军, 彭代亮, 胡勇, 刘绍民. 华北平原冬小麦总初级生产力的遥感监测. 农业工程学报. 2011, 346-351, http://lib.cqvip.com/Qikan/Article/Detail?id=1003578097.
[144] 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. 2011, 30(7): 1227-1236, http://lib.cqvip.com/Qikan/Article/Detail?id=38509380.
[145] 喻铮铮, 吴国玺, 刘良云. 基于RS的北京门头沟植被覆盖时空演变研究. 水土保持研究. 2011, 18(3): 32-35, http://lib.cqvip.com/Qikan/Article/Detail?id=37968874.
[146] Liu, Liangyun, Cheng, Zhanhui. Mapping C3 and C4 plant functional types using separated solar-induced chlorophyll fluorescence from hyperspectral data. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2011, 32(24): 9171-9183, http://ir.ceode.ac.cn/handle/183411/28851.
[147] 郭华东, 刘良云, 范湘涛, 李新武. 对地观测技术用于汶川和玉树地震灾害的研究. 高校地质学报[J]. 2011, 17(1): 1-12, http://lib.cqvip.com/Qikan/Article/Detail?id=3.7679036E7.
[148] 鲍艳松, 刘利, 孔令寅, 王纪华, 刘良云. 基于ASAR的冬小麦不同生育期土壤湿度反演. 农业工程学报. 2010, 224-232, http://lib.cqvip.com/Qikan/Article/Detail?id=35599236.
[149] 程占慧, 刘良云. 冠层光能利用率的叶绿素荧光光谱探测. 遥感学报. 2010, 356-371, http://lib.cqvip.com/Qikan/Article/Detail?id=33525503.
[150] Liu, Liangyun, Wang, Jihua, Huang, Wenjiang, Zhao, Chunjiang. Detection of leaf and canopy EWT by calculating REWT from reflectance spectra. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2010, 31(10): 2681-2695, http://ir.ceode.ac.cn/handle/183411/28844.
[151] Song Xiaoyu, Wang Jihua, Yan Guangjian, Huang Wenjiang, Liu Liangyun. Winter Wheat Growth Spatial Variation Study Based on Temporal Airborne High-Spectrum Images. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2010, 30(7): 1820-1824, http://ir.ceode.ac.cn/handle/183411/29967.
[152] Guo, Huadong, Liu, Liangyun, Lei, Liping, Wu, Yanhong, Li, Liwei, Zhang, Bing, Zuo, Zhengli, Li, Zhen. Dynamic analysis of the Wenchuan Earthquake disaster and reconstruction with 3-year remote sensing data. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2010, 3(4): 355-364, http://ir.ceode.ac.cn/handle/183411/28539.
[153] 胡勇, 刘良云, 贾建华. 北京山区植被动态及生态恢复的遥感监测. 应用生态学报. 2010, 2876-2882, http://lib.cqvip.com/Qikan/Article/Detail?id=36029621.
[154] Liu, Liangyun, Cheng, Zhanhui. 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[J]. 2010, 3(3): 306-312, http://ir.ceode.ac.cn/handle/183411/28845.
[155] 雷莉萍, 刘良云, 张丽, 毕建涛, 吴艳红, 焦全军, 张文娟. 汶川地震房屋倒塌的遥感监测与分析. 遥感学报. 2010, 333-344, http://lib.cqvip.com/Qikan/Article/Detail?id=33525501.
[156] 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. 2010, 880-885, http://lib.cqvip.com/Qikan/Article/Detail?id=36237373.
[157] 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. 2009, 963-978, http://lib.cqvip.com/Qikan/Article/Detail?id=31606723.
[158] Song, Xiaoyu, Wang, Jihua, Huang, Wenjiang, Liu, Liangyun, Yan, Guangjian, Pu, Ruiliang. The delineation of agricultural management zones with high resolution remotely sensed data. PRECISION AGRICULTURE[J]. 2009, 10(6): 471-487, http://dx.doi.org/10.1007/s11119-009-9108-2.
[159] Liu, Liangyun, Jing, Xia, Wang, Jihua, Zhao, Chunjiang. Analysis of the changes of vegetation coverage of western Beijing mountainous areas using remote sensing and GIS. ENVIRONMENTAL MONITORING AND ASSESSMENT[J]. 2009, 153(1-4): 339-349, http://dx.doi.org/10.1007/s10661-008-0360-0.
[160] Liu, Liangyun, Wu, Yanhong, Zuo, Zhengli, Chen, Zhengchao, Wang, Xingxing, Zhang, Wenjuan. Monitoring and assessment of barrier lakes formed after the Wenchuan earthquake based on multitemporal remote sensing data. JOURNAL OF APPLIED REMOTE SENSING[J]. 2009, 3(12): http://ir.ceode.ac.cn/handle/183411/28835.
[161] 刘良云, 宋晓宇, 李存军, 齐腊, 黄文江, 王纪华. 冬小麦病害与产量损失的多时相遥感监测. 农业工程学报. 2009, 25(1): 137-143, http://lib.cqvip.com/Qikan/Article/Detail?id=29521640.
[162] 孙刚, 刘良云, 郑文刚, 黄文江, 尹鸣. 基于夫琅和费暗线原理的太阳诱导叶绿素荧光仪. 农业机械学报. 2009, 248-251, http://lib.cqvip.com/Qikan/Article/Detail?id=1003856915.
[163] Lei Liping, Liu Liangyun, Zhang Li, Bi Jiantao, Wu Yanhong, Jiao Quanjun, Zhang Wenjuan. Assessment of spatial variation of the collapsed houses in Wenchuan earthquake with aerial images. Journal of Applied Remote Sensing[J]. 2009, 3(1): http://ir.ceode.ac.cn/handle/183411/28686.
[164] 马丽, 徐新刚, 刘良云, 黄文江, 贾建华, 程一沛. 基于多时相NDVI及特征波段的作物分类研究. 遥感技术与应用. 2008, 23(5): 520-524, http://lib.cqvip.com/Qikan/Article/Detail?id=28515404.
[165] 焦全军, 张兵, 张霞, 刘良云. 植被叶绿素含量的冠层层次遥感诊断研究. 2008, http://ir.ceode.ac.cn/handle/183411/37179.
[166] 徐新刚, 吴炳方, 蒙继华, 李强子, 黄文江, 刘良云, 王纪华. 农作物单产遥感估算模型研究进展. 农业工程学报. 2008, 24(2): 290-298, http://lib.cqvip.com/Qikan/Article/Detail?id=26748066.
[167] 杨庆锋, 王纪华, 莫良玉, 黄文江, 刘良云. 基于冠层反射光谱的冬小麦干物质积累量的估测研究. 安徽农业科学[J]. 2008, 36(24): 10436-10438, http://lib.cqvip.com/Qikan/Article/Detail?id=28253693.
[168] 李卫国, 王纪华, 赵春江, 刘良云, 童庆禧. 基于定量遥感反演与生长模型耦合的水稻产量估测研究. 农业工程学报. 2008, 24(7): 128-131, http://lib.cqvip.com/Qikan/Article/Detail?id=27947197.
[169] Huang, Wenjiang, Song, Xiaoyu, Lamb, David W, Wang, Zhijie, Niu, Zheng, Liu, Liangyun, Wang, Jihua. 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[J]. 2008, 2(13): http://ir.ceode.ac.cn/handle/183411/28589.
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[171] 黄文江, 王锦地, 穆西晗, 王纪华, 刘良云, 刘强, 牛铮. 基于核驱动模型参数反演的作物株型遥感识别. 光谱学与光谱分析. 2007, 27(10): 1921-1924, http://lib.cqvip.com/Qikan/Article/Detail?id=25798376.
[172] Huang, Wenjiang, Lamb, David W, Niu, Zheng, Zhang, Yongjiang, Liu, Liangyun, Wang, Jihua. Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging. PRECISION AGRICULTURE[J]. 2007, 8(4-5): 187-197, http://dx.doi.org/10.1007/s11119-007-9038-9.
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[175] Zhao Chunjiang, Jiang Aning, Huang Wenjiang, Liu Keli, Liu Liangyun, Wang Jihua. Evaluation of variable-rate nitrogen recommendation of winter wheat based on SPAD chlorophyll meter measurement. NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH[J]. 2007, 50(5): 735-741, https://www.webofscience.com/wos/woscc/full-record/WOS:000258308200025.
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[179] 刘良云. Detecting Solar-Induced Chlorophy11 Fluorescence From Field Radiance Spectra Based on the Fraunhofer Line Principle. IEEE Trans, on Geoscience and Remote Sensing. 2005, [180] Yong-Jiang ZHANG, Chun-Jiang ZHAO, Liang-Yun LIU, Ji-Hua WANG, Ren-Chao WANG. Chlorophyll Fluorescence Detected Passively by Difference Reflectance Spectra of Wheat (Triticum aestivum L.) Leaf. 植物学报:英文版[J]. 2005, 47(10): 1228-1235, http://lib.cqvip.com/Qikan/Article/Detail?id=20507931.
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[196] 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. 2001, 6(7): 629-635, http://lib.cqvip.com/Qikan/Article/Detail?id=5376873.
[197] 惠彬, 汶德胜, 苗兴华, 刘新平, 刘良云. 扩大光学系统焦深范围的光学成象新技术研究. 光子学报. 2001, 30(5): 594-597, http://lib.cqvip.com/Qikan/Article/Detail?id=5430673.
[198] 李英才, 刘良云, 相里斌. 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-, http://lib.cqvip.com/Qikan/Article/Detail?id=5376873.
[199] 李英才, 相里斌, 刘良云, 袁艳. 高通量层析成像光谱仪的仿真研究. 光学学报[J]. 2001, 21(2): 198-, http://lib.cqvip.com/Qikan/Article/Detail?id=5430276.
[200] 刘良云, 李英才, 相里斌. 超分辨率图像重构技术的仿真实验研究. 中国图象图形学报[J]. 2001, 6(7): 629-635, http://ir.opt.ac.cn/handle/181661/6316.
[201] 李英才, 刘良云, 张伯珩. 航天TDI—CCD相机的MTF和像质分析. 光学技术. 2000, 26(6): 481-483, http://lib.cqvip.com/Qikan/Article/Detail?id=4563558.
[202] 刘良云, 相里斌, 杨建峰, 李英才. 计算层析成像光谱仪的仿真研究. 光学学报. 2000, 20(6): 805-, [203] 杨建峰, 刘良云, 李英才, 相里斌. 层析型线阵推扫成象光谱技术及其仿真研究. 光子学报. 2000, 29(1): 58-62, http://lib.cqvip.com/Qikan/Article/Detail?id=4471049.
[204] 李英才, 相里斌, 刘良云. 小波分析在层析图像重构中的应用研究. 光学技术[J]. 2000, 26(1): 19-, http://lib.cqvip.com/Qikan/Article/Detail?id=4081625.
[205] 相里斌, 张淳民, 赵葆常, 刘良云. 干涉成像光谱仪技术的新发展. 光学技术[J]. 2000, 26(3): 232-, http://lib.cqvip.com/Qikan/Article/Detail?id=4232743.
[206] 刘良云, 相里斌. 计算层板成像光谱仪的仿真研究. 光学学报. 2000, 20(6): 805-809, http://lib.cqvip.com/Qikan/Article/Detail?id=4555120.
[207] 李英才, 相里斌, 赵葆常, 刘良云. 正则化处理在层析成象光谱技术中的应用. 光子学报. 1999, 28(4): 341-345, http://lib.cqvip.com/Qikan/Article/Detail?id=3564328.
发表著作
(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

科研活动

   
科研项目
( 1 ) 国家重点研发项目:全球碳循环关键参数立体观测与反演, 主持, 国家级, 2017-07--2021-12
( 2 ) 国家杰青项目:植被定量遥感, 主持, 国家级, 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, 主持, 部委级, 2019-01--2021-12
( 4 ) 万人计划科技创新领军人才, 主持, 国家级, 2019-01--2022-12

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