Name: TANG Ronglin

Professor, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

Professor, College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

RESEARCH INTERESTS

l   Remote Sensing retrieval of land surface parameters/variables, including evapotranspiration, net radiation, soil moisture, surface temperature, GPP, etc.

l   Thermal infrared remote sensing

l   Remote Sensing in Hydrology

l   Remote Sensing in Global Change

l   Machine Learning in Remote Sensing

EDUCATION

l   2007/09-2011/06, Ph.D., Major in Geographic Information Science, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

l   2005/09-2007/06, M.S., Major in Hydrology and water resources Engineering, Wuhan University, Hubei, China

l   2001/09-2005/06, B.S., Major in Hydrology and water resources Engineering, Wuhan University, Hubei, China 

PROFESSIONAL RECORD

l   2017/12-, Professor, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

l   2014/12-2017/11, Associate Professor, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

l   2012/09-2014/11, Assistant Professor, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

l   2011/08-2012/08, Post Doc., Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

HONORS AND AWARDS

l   National Natural Science Awards (the Second Prize, 3/5)

l   National Science Fund for Excellent Young Scholars

SELECTED PEER REVIEWED JOURNAL ARTICLES

(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., 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.

(5)    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.

OTHER PEER REVIEWED JOURNAL ARTICLES

[1]     *Jiang Yazhen; *Tang Ronglin, *Jiang Xiaoguang; Li Zhao-Liang; Gao Caixia. Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models from MODIS Data. Journal of Geophysical Research: Atmospheres, 2019/07/12, 124(14), 7647-7664.

[2]     Wang Tong; *Tang Ronglin; Li Zhao-Liang; Jiang Yazhen; Liu Meng; Niu Lu. An improved spatio-temporal adaptive data fusion algorithm for evapotranspiration mapping. Remote Sensing, 2019/03/29, 11(7), 761.

[3]     Tang Ronglin; Li Zhao-Liang; Huo Xing; Jiang Yazhen; Tang Bohui; Wu Hua, A re-examination of two methods for estimating daily evapotranspiration from remotely sensed instantaneous observations, International Journal of Remote Sensing, 2019.3, 40(5-6): 1981~1995.

[4]     Liu Meng; *Tang Ronglin; Li Zhao-Liang; Yan Guangjian, Integration of two semi-physical models of terrestrial evapotranspiration using the China Meteorological Forcing Dataset, International Journal of Remote Sensing, 2019.3, 40(5-6): 1966~1980.

[5]     Di Suchuang; Li Zhao-Liang; *Tang Ronglin; Pan Xingyao; Liu Honglu; Niu Yong, Urban green space classification and water consumption analysis with remote-sensing technology: A case study in Beijing, China, International Journal of Remote Sensing, 2019.3, 40(5-6): 1909~1929.

[6]     Jiang Yazhen; *Tang Ronglin; *Jiang Xiaoguang; Li Zhao-Liang, Impact of clouds on the estimation of daily evapotranspiration from MODIS-derived instantaneous evapotranspiration using the constant global shortwave radiation ratio method, International Journal of Remote Sensing, 2019.3, 40(5-6): 1930~1944.

[7]     Huo Xing; Tang Ronglin; Ma Lingling; Shao Kun; Yang Yonghua, A novel neural network for super-resolution remote sensing image reconstruction, International Journal of Remote Sensing, 2019.3, 40(5-6): 2375~2385.

[8]     Chen Hong; Wu Hua; Li Zhao-Liang; Tang Bohui; Tang Ronglin; Yan Guangjian, Spatial upscaling of remotely sensed leaf area index based on discrete wavelet transform, International Journal of Remote Sensing, 2019.3, 40(5-6): 2343~2358.

[9]     Jiang Yazhen; Jiang Xiaoguang; *Tang Ronglin; Li Zhao-Liang; Zhang Yuze; Huang Cheng; Ru Chen, Estimation of Daily Evapotranspiration Using Instantaneous Decoupling Coefficient From the MODIS and Field Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018.5.23, 11(6): 1832~1838.

[10]   Liu Meng; *Tang Ronglin; Li Zhao-Liang; Yao Yunjun; Yan Guangjian, Global land surface evapotranspiration estimation from meteorological and satellite data using the support vector machine and semiempirical algorithm, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018.2.1, 11(2): 513~521.

[11]   Jiang Yazhen; Jiang Xiao-guang; *Tang Ronglin; Li Zhao-Liang; Zhang Yuze; Liu Zhao-Xia; Huang Cheng, Effect of cloud cover on temporal upscaling of instantaneous evapotranspiration, Journal of Hydrologic Engineering, 2018.2.6, 23(4): 05018002.

[12]   Tang Ronglin; Li Zhao-Liang; Sun Xiaomin; Bi Yuyun. Temporal upscaling of instantaneous evapotranspirationon clear-sky days using the constant reference evaporativefraction method with fixed or variable surface, Journal of Geophysical Research: Atmospheres, 2017, 122, 784~801.

[13]   Leng Pei; Li Zhao-Liang; Duan Sibo; Tang Ronglin; Gao Maofang, A method for deriving all‐sky evapotranspiration from the synergistic use of remotely sensed images and meteorological data, Journal of Geophysical Research: Atmospheres, 2017.12.28, 122(24).

[14]   Zhou Fang-Cheng, Li Zhao-Liang, Wu Hua, Tang Bo-Hui, Tang Ronglin, Song Xiaoning, Yan Guangjian. Retrieving K-Band Instantaneous Microwave Land Surface Emissivity Based on Passive Microwave Brightness Temperature and Atmospheric Precipitable Water Vapor Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017. DOI: 10.1109/JSTARS.2017.2763167.

[15]   Tang Bo-Hui, Zhan Chuan, Li Zhao-Liang, Wu Hua, Tang Ronglin. Estimation of Land Surface Temperature From MODIS Data for the Atmosphere With Air Temperature Inversion Profile. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(6):2976-2983.

[16]   Wang Chunlei, Tang Bo-Hui, Wu Hua, Tang Ronglin, Li Zhao-Liang. Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky. Remote Sensing, 2017, 9(3), 16-34.

[17]   Tang Ronglin; Li Zhao-Liang. Evaluation of two end-member-based models for regional land surface evapotranspiration estimation from MODIS data, Agricultural and Forest Meteorology, 2015, 202, 69-82.

[18]   Tang Ronglin, Shao Kun, Li Zhao-Liang, Wu Hua, Tang Bohui, Zhou Guoqing, Zhang Li. Multiscale Validation of the 8-day MOD16 Evapotranspiration Product Using Flux Data Collected in China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(4), 1478-1486, 2015.

[19]   Tang Ronglin, Tang Bohui, Wu Hua, Li Zhao-Liang. On the feasibility of temporally upscaling instantaneous evapotranspiration using weather forecast information. International Journal of Remote Sensing, 36(19-20), 4918-4935, 2015.

[20]   Zhang Dianjun, *Tang Ronglin, Tang Bohui, Wu Hua, Li Zhao-Liang. A Simple Method for Soil Moisture Determination From LST–VI Feature Space Using Nonlinear Interpolation Based on Thermal Infrared Remotely Sensed Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2), 638-648, 2015.

[21]   Lu Jing, Tang Ronglin, Shao Kun, Li Zhao-Liang, Zhou Guoqing. Assessment of two temporal-information-based methods for estimating evaporative fraction over the Southern Great Plains. International Journal of Remote Sensing, 36(19-20), 4936-4952, 2015.

[22]   Zhang Dianjun, Li Zhao-Liang, Tang Ronglin, Tang Bohui, Wu Hua, Lu Jing, Shao Kun. Validation of a practical normalized soil moisture model with in situ measurements in humid and semi-arid regions. International Journal of Remote Sensing, 36(19-20), 5015-5030, 2015.

[23]   Han Xiaojing, Duan Sibo, Tang Ronglin, Liu Haiqi, Li Zhao-Liang. Evaluation of temporal variations in soil moisture based on the microwave polarization difference index using in situ data over agricultural areas in China. International Journal of Remote Sensing, 36(19-20), 5003-5014, 2015.

[24]   Di Suchuang, Li Zhao-Liang, Tang Ronglin, Wu Hua, Tang Bohui, Lu Jing. Integrating two layers of soil moisture parameters into the MOD16 algorithm to improve evapotranspiration estimations. International Journal of Remote Sensing, 36(19-20), 4953-4971, 2015.

[25]   Tang Bohui, Shao Kun, Li Zhao-Liang, Wu Hua, Tang Ronglin. An improved NDVI-based threshold method for estimating land surface emissivity using MODIS satellite data. International Journal of Remote Sensing, 36(19-20), 4864-4878, 2015.

[26]   Duan Sibo, Li Zhao-Liang, Tang Bohui, Wu Hua, Tang Ronglin, Bi Yuyun. Atmospheric correction of high-spatial-resolution satellite images with adjacency effects: application to EO-1 ALI data. International Journal of Remote Sensing, 36(19-20), 5061-5074, 2015.

[27]   Zhang Dianjun, *Tang Ronglin, Zhao Wei, Tang Bohui, Wu Hua, Shao Kun, Li Zhao-Liang. Surface soil water content estimation from thermal remote sensing based on the temporal variation of land surface temperature. Remote Sensing, 6(4), 3170-3187, 2014/04/09.

[28]   Duan Sibo, Li Zhao-Liang, Tang Bohui, Wu Hua, Tang Ronglin. Generation of a time-consistent land surface temperature product from MODIS data. Remote Sensing of Environment, 140, 339-349, 2014/01/15.

[29]   Duan Sibo, Li Zhao-Liang, Tang Bohui, Wu Hua, Tang Ronglin. Direct estimation of land-surface diurnal temperature cycle model parameters from MSG–SEVIRI brightness temperatures under clear sky conditions. Remote Sensing of Environment, 150, 34-43, 2014/07/15.

[30]   Lu Jing, Tang Ronglin, Tang Huajun, Li Zhao-Liang. A new parameterization scheme for estimating surface energy fluxes with continuous surface temperature, air temperature, and surface net radiation measurements. Water Resources Research, 50(2), 1245-1259, 2014/02/14.

[31]   Lu Jing, Tang Ronglin, Tang Huajun, Li Zhao-Liang, Zhou Guoqing, Shao Kun, Bi Yuyun, Labed Jelila. Daily Evaporative Fraction Parameterization Scheme Driven by Day–Night Differences in Surface Parameters: Improvement and Validation. Remote Sensing, 6(5), 4369-4390, 2014/05/12.

[32]   Duan Sibo, Li Zhao-Liang, Tang Bohui, Wu Hua, Tang Ronglin, Bi Yuyun, Zhou Guoqing. Estimation of Diurnal Cycle of Land Surface Temperature at High Temporal and Spatial Resolution from Clear-Sky MODIS Data. Remote Sensing, 6(4), 3247-3262, 2014/04/10.

[33]   Tang Ronglin, Li Zhao-Liang, Sun Xiaomin. Temporal upscaling of instantaneous evapotranspiration: An intercomparison of four methods using eddy covariance measurements and MODIS data. Remote Sensing of Environment, 2013, 138, 102-118.

[34]   Tang Ronglin, Li Zhao-Liang, Chen Kunshan, Jia Yuanyuan, Li Chuanrong, Sun Xiaomin. Spatial-scale effect on the SEBAL model for evapotranspiration estimation using remote sensing data. Agricultural and Forest Meteorology, 2013, 174, 28-42.

[35]   Lu Jing, Tang Ronglin, Tang Huajun, Li Zhao-Liang. Derivation of daily evaporative fraction based on temporal variations in surface temperature, air temperature, and net radiation. Remote Sensing, 5(10), 5369-5396, 2013/10/22.

[36]   Meng Chunlei, Zhang Chaolin, Tang Ronglin. Variational estimation of land–atmosphere heat fluxes and land surface parameters using MODIS remote sensing data. Journal of Hydrometeorology, 14(2), 608-621, 2013/04/14.

[37]   Lu Jing, Li Zhao-Liang, Tang Ronglin, Tang Bohui, Wu Hua, Yang Fengting, Labed Jelila, Zhou Guoqing. Evaluating the SEBS‐estimated evaporative fraction from MODIS data for a complex underlying surface. Hydrological Processes, 27(22):3139-3149, 2013/10/30.

[38]   Tang Ronglin, Li Zhao-Liang, Chen Kunshan, Zhu Yuanjun, Liu Wenzhao. Verification of land surface evapotranspiration estimation from remote sensing spatial contextual information. Hydrological Processes, 26(15), 2283-2293, 2012/07/15.

[39]   Tang Ronglin, Li Zhao-Liang, Jia Yuanyuan, Li Chuanrong, Chen Kunshan, Sun Xiaomin, Lou Jinyong. Evaluating one-and two-source energy balance models in estimating surface evapotranspiration from Landsat-derived surface temperature and field measurements. International Journal of Remote Sensing, 34(9-10), 3299-3313, 2012/10/17.

[40]   Wang Kun, Tang Ronglin, Li Zhao-Liang. Comparison of integrating LAS/MODIS data into a land surface model for improved estimation of surface variables through data assimilation. International Journal of Remote Sensing, 34(9-10), 3193-3207, 2012/10/30.

[41]   Tang Ronglin, Li Zhao-Liang, Jia Yuanyuan, Li Chuanrong, Sun Xiaomin, Kustas, W. P., & Anderson, M. C. 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, 2011, 115(12), 3187-3202.

[42]   Tang Ronglin, Li Zhao-Liang, Chen Kunshan. Validating MODIS‐derived land surface evapotranspiration with in situ measurements at two AmeriFlux sites in a semiarid region. Journal of Geophysical Research: Atmospheres, 2011, 116(D4).

[43]   Li Zhao-Liang, Tang Ronglin, Wan Zhengming, Bi Yuyun, Zhou Chenghu, Tang Bohui, Yan Guangjian, Zhang Xiaoyu. A review of current methodologies for regional evapotranspiration estimation from remotely sensed data. Sensors, 9(5), 3801-3853, 2009/05/19.

Contact:

Tel: 86-10-6488-8172

Email: tangrl@lreis.ac.cn, trl_wd@163.com

Updated on April 2, 2020