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、初级生产力、水分利用效率等能-水-碳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、大数据分析与遥感智能建模等。

科研业绩

长期从事地表蒸散发遥感定量反演的基础理论与方法研究。围绕蒸散发遥感建模、模型参数化、时间尺度扩展、真实性检验等，共发表科技论文120余篇，其中SCI论文74篇，获授权国家发明专利30项、实用新型专利2项，登记软件著作权10项，参与制定国家标准6项。主持国家自然科学基金项目5项、中国科学院战略性先导科技专项课题、国家重点研发计划专题等项目/课题。获国家自然科学奖二等奖、教育部自然科学奖二等奖、北京市自然科学奖二等奖等国家及省部级科技奖励7项、学会科技奖励3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 Ronglin,Peng,Z.,Liu,M.,*Li,Z. L.,Jiang,Y.,Hu,Y.,...& Fisher,J. B. (2024). Spatial-temporal patterns of land surface evapotranspiration from global products. Remote Sensing of Environment,304,114066.
2. Tang Ronglin, Wang,Y.,Jiang,Y.,Liu,M.,Peng,Z.,Hu,Y.,Huang,L.,& Li,Z. L. (2024). A review of global products of air-sea turbulent heat flux: accuracy,mean,variability,and trend. Earth-Science Reviews,249,104662.
3. Wang,Y.,*Tang Ronglin,Huang,L.,Liu,M.,Jiang,Y.,& Li,Z. L. (2024). A Bowen ratio-informed method for coordinating the estimates of air–sea turbulent heat fluxes. Environmental Research Letters,19(12),124080.
4. Huang,L.,Yuan,W.,Zheng,Y.,Zhou,Y.,He,M.,Jin,J.,Huang,X.,Chen,S.,Liu,M.,Guan,X.,Jiang,S.,Lin,X.,Li,Z. L.,*Tang Ronglin (2024). A dynamic-leaf light use efficiency model for improving gross primary production estimation. Environmental Research Letters,19,014066.
5. Peng,Z.,*Tang,R. L.,Liu,M.,Jiang,Y.,& Li,Z. L. (2023). Coupled estimation of global 500m daily aerodynamic roughness length,zero-plane displacement height and canopy height. Agricultural and Forest Meteorology,342,109754.
6. Wang,J.,*Tang,R. L.,Jiang,Y.,Liu,M.,& Li,Z. L. (2023). A practical method for angular normalization of global MODIS land surface temperature over vegetated surfaces. ISPRS Journal of Photogrammetry and Remote Sensing,199,289-304.
7. Hu,Y.,*Tang,R. L.,*Jiang,X.,Li,Z. L.,Jiang,Y.,Liu,M.,Gao,C.,& Zhou,X. (2023). A physical method for downscaling land surface temperatures using surface energy balance theory. Remote Sensing of Environment,286,113421.
8. Tang,R. L.,Li,Z. L.,Liu,M.,Jiang,Y.,& Peng,Z. (2022). A moisture-based triangle approach for estimating surface evaporative fraction with time-series of remotely sensed data. Remote Sensing of Environment,280,113212.
9. Jiang,Y.,*Tang,R. L.,& Li,Z. L. (2022). A framework of correcting the angular effect of land surface temperature on evapotranspiration estimation in single-source energy balance models. Remote Sensing of Environment,283,113306.
10. Liu,M.,*Tang,R. L.,Li,Z. L.,Duan,S.,Gao,M.,Xu,Z.,& Song,L. (2022). Separating soil evaporation from vegetation transpiration by remotely sensed one-phase and two-phase trapezoids. Agricultural and Forest Meteorology,327,109215.
11. Huang,L.,Lin,X.,Jiang,S.,Liu,M.,Jiang,Y.,Li,Z. L.,& *Tang,R. L. (2022). A two-stage light use efficiency model for improving gross primary production estimation in agroecosystems. Environmental Research Letters,17,104021.
12. Jiang,Y.,*Tang,R. L.,& Li,Z. L. (2022). A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration. Agricultural and Forest Meteorology,323,109087.
13. Peng,Z.,*Tang,R. L.,Jiang,Y.,Liu,M.,& Li,Z. L. (2022). Global estimates of 500 m daily aerodynamic roughness length from MODIS data. ISPRS Journal of Photogrammetry and Remote Sensing,183,336-351.
14. Jiang,Y.,*Tang,R. L.,& Li,Z. L. (2022). Reconstruction of daily evapotranspiration under cloudy sky constrained by soil water budget balance. Journal of Hydrology,605,127288.
15. 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.
16. 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.
17. 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.
18. Tang,R. L.,Li,Z.-L.,Sun,X.,Bi,Y. (2017). Temporal upscaling of instantaneous evapotranspirationon clear-sky days using the constant reference evaporative fraction method with fixed or variable surface. Journal of Geophysical Research: Atmospheres,122,784~801.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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).
24. 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、遥感大数据与智能建模

联系方式：010-64888172，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