● 2005年9月-2007年6月，武汉大学，硕士

    ● 2001年9月-2005年6月，武汉大学，学士

工作经历：（倒序排列）

    ● 2025.01-至今，中国科学院地理科学与资源研究所，地理信息科学与技术全国重点实验室 研究员

    ● 2017.12-2024.12，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室 研究员

    ● 2014.12-2017.11，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室 副研究员

    ● 2012.09-2014.11，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室 助理研究员

    ● 2011.08-2012.08，中国科学院地理科学与资源研究所 博士后

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130余篇，其中SCI论文81篇，获授权国家发明专利32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7项。主持国家自然科学基金项目5项、中国科学院A类战略性先导科技专项课题、京津冀环境综合治理国家科技重大专项课题等项目/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与省部级科技奖励8项、行业学会科技奖励3项、中国科学院优秀博士学位论文等荣誉称号。

代表性学术论文：

[1] Wang, J., *Tang Ronglin, Liu, M., Jiang, Y., Huang, L., & Li, Z. L. (2025). Coordinated estimates of 4-day 500 m global land surface energy balance components. Remote Sensing of Environment, 326, 114795.

[2] Sun, Y., *Tang Ronglin, Huang, L., Liu, M., Jiang, Y., & Li, Z. L. (2025). Synergistic estimates of global 4-day 500 m gross primary production, evapotranspiration, and ecosystem water use efficiency from satellite data. Journal of Hydrology, 133506.

[3] Jiang, Y., Zhao, J., Wu, A., Si, M., Bian, Z., *Tang Ronglin, & Li, Z. L. (2025). Optimizing latent heat flux calculation via composited thermal infrared temperatures. IEEE Transactions on Geoscience and Remote Sensing, 63, 4420311.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[10] 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.

[11] 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.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

[18] 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.

[19] 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.

[20] 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.

[21] 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.

[22] 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.

[23] 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.

[24] 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.

[25] 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.

[26] 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).

[27] 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.

研究生招生与培养：

招生专业：地图学与地理信息系统

招生方向：热红外遥感、地表能量-水分-碳平衡遥感、遥感大数据与智能建模

联系方式：010-64888172，tangrl@lreis.ac.cn , trl_wd@163.com

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