个人简况
男，1983年9月生，安徽怀远人，博士，研究员，博士生导师，曾获“国家优秀青年科学基金”资助、国家自然科学奖二等奖（个人排名第3）等科技奖励。
2005年和2007年先后获得武汉大学学士和硕士学位，2011年获得中国科学院地理科学与资源研究所博士学位。2012/09-2014/11期间，任助理研究员。2014/12-2017/11，任副研究员。2017/12-至今，任研究员。
研究领域和方向
主要从事地表能量平衡、蒸散发、土壤水分等能水平衡要素的遥感反演、验证及应用研究。研究方向包括热红外遥感、水循环遥感、全球变化遥感、遥感大数据分析等。
科研业绩
长期从事区域地表蒸散发遥感定量反演的基础理论研究，创建了地表温度-植被指数特征空间的“干湿边自动确定法”、混合像元土壤蒸发/植被蒸腾分解的“两段分离法”、瞬时蒸散发日尺度扩展的“解耦因子不变法”以及蒸散发遥感反演空间尺度效应评估的解析模型，解决了制约地表蒸散发高精度反演的一系列关键问题，提高了地表蒸散发的遥感估算精度。
共发表论文90余篇（SCI论文47篇），其中以第一作者或通讯作者身份发表SCI论文25篇。获得软件著作权6项、授权国家发明/实用新型专利13项。曾获国家自然奖二等奖、教育部自然科学奖二等奖等国家及省部级科技奖励5项、中科院优秀博士学位论文等荣誉称号。
代表性学术论文
[1]Tang, R. L., Li, Z.-L. (2017). An end-member-based two-source approach for estimating land surface evapotranspiration from remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 55(10), 5818-5832.
[2]Tang, R. L., Li, Z.-L. (2017). An improved constant evaporative fraction method for estimating daily evapotranspiration from remotely sensed instantaneous observations. Geophysical Research Letters, 44(5), 2319-2326.
[3]Tang, R. L., Li, Z.-L. (2017). Estimating daily evapotranspiration from remotely sensed instantaneous observations with simplified derivations of a theoretical model. Journal of Geophysical Research: Atmospheres, 122.
[4]Tang, R. L., Li, Z.-L., Sun, X., Bi, Y. (2017). Temporal upscaling of instantaneous evapotranspirationon clear-sky days using the constant reference evaporativefraction method with fixed or variable surface. Journal of Geophysical Research: Atmospheres, 122, 784~801.
[5]Tang, R. L., Li, Z.-L. (2015). Evaluation of two end-member-based models for regional land surface evapotranspiration estimation from MODIS data. Agricultural and Forest Meteorology, 202, 69-82.
[6]Tang, R. L., Li, Z.-L., Sun, X. (2013). Temporal upscaling of instantaneous evapotranspiration: An intercomparison of four methods using eddy covariance measurements and MODIS data. Remote Sensing of Environment, 138, 102-118.
[7]Tang, R. L., Li, Z.-L., Chen, K. S., Jia, Y., Li, C., Sun, X. (2013). Spatial-scale effect on the SEBAL model for evapotranspiration estimation using remote sensing data. Agricultural and Forest Meteorology, 174, 28-42.
[8]Tang, R. L., Li, Z.-L., Jia, Y., Li, C., Sun, X., Kustas, W. P., Anderson, M. C. (2011). An intercomparison of three remote sensing-based energy balance models using Large Aperture Scintillometer measurements over a wheat–corn production region. Remote Sensing of Environment, 115(12), 3187-3202.
[9]Tang, R. L., Li, Z.-L., Chen, K.-S. (2011). Validating MODIS‐derived land surface evapotranspiration with in situ measurements at two AmeriFlux sites in a semiarid region. Journal of Geophysical Research: Atmospheres, 116(D4).
[10]Tang, R. L., Li, Z.-L., Tang, B. (2010). An application of the Ts–VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: Implementation and validation. Remote Sensing of Environment, 114(3), 540-551.
招生专业：地图学与地理信息系统
招生方向：热红外遥感、水文遥感、全球变化遥感、遥感大数据分析
联系方式：，tangrl@lreis.ac.cn
通讯地址：北京市朝阳区安外大屯路甲11号，邮编：100101
更新日期：2020年4月2日