唐榮林，男，1983年9月生，安徽懷遠人，博士，中國科學院地理科學與資源研究所研究員，博士生導師。
基本介紹
- 中文名：唐榮林
- 出生日期：1983年9月
- 職務：中國科學院地理科學與資源研究所研究員
- 性別：男
個人簡況,研究領域,科研業績,獲獎榮譽,學術論著,
個人簡況
2005年和2007年先後獲得武漢大學學士和碩士學位，
2011年獲得中國科學院地理科學與資源所博士學位。
2012/09-2014/11期間，任助理研究員。
2014/12-2017/11期間，任副研究員。
2017/12-至今，任研究員。
2011年獲中科院院長優秀獎及中科院地理資源所優秀博士學位論文，
2012年獲中科院優秀博士學位論文，
2013年獲中科院地理資源所“秉維”優秀青年人才基金，
2014年入選中科院青促會會員，獲得由中國測繪地理信息學會授予的測繪科技進步一等獎（個人排名第15），
2015年獲科技部遙感中心遙感青年科技人才創新資助計畫（第一期）的資助。
研究領域
主要從事地表蒸散發、土壤水分的遙感反演及驗證研究
科研業績
長期從事區域地表蒸散發遙感定量反演的基礎理論研究，創建了地表溫度-植被指數特徵空間的“乾濕邊自動確定法”、混合像元土壤蒸發/植被蒸騰分解的“兩段分離法”、瞬時蒸散發日尺度擴展的“解耦因子不變法”以及蒸散發遙感反演空間尺度效應評估的解析模型，解決了制約地表蒸散發高精度反演的一系列關鍵問題，提高了地表蒸散發的遙感估算精度。至今，共發表論文70餘篇（SCI論文38篇），其中以第一作者或通訊作者身份發表SCI論文19篇。已發表的SCI論文經Google Scholar檢索總引用次數達1100餘次，2篇第一作者SCI論文分別獲《Remote Sensing of Environment》期刊2015年25篇“Most Cited Articles”之一和《Agricultural and Forest Meteorology》期刊“Top 25 Hottest Articles”之一。2篇SCI論文為ESI高被引論文。獲得軟體著作權6項、授權發明/實用新型專利6項。主持和參與數項國家自然科學基金及其他部委級項目。
獲獎榮譽
2020年1月，獲2019年度國家自然科學二等獎（項目名稱“地表水熱關鍵參數熱紅外遙感反演理論與方法”，第三完成人）。
學術論著
[1]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, Accepted, 2018.
[2] 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, 11(2), 513-521, 2018.
[3] Jiang Yazhen, Jiang Xiaoguang, *Tang Ronglin, Li Zhao-Liang, Zhang Yuze, Liu Zhao-xia, Huang Cheng. Effect of Cloud Cover on Temporal Upscaling of Instantaneous Evapotranspiration. Journal of HydrologicEngineering, 24(3), DOI: 10.1061/(ASCE)HE.1943-5584.0001635, 2018.
[4]Tang Ronglin, Li Zhao-Liang, Sun Xiaomin, Bi Yuyun. Temporal upscaling of instantaneous evapotranspiration clear-sky days using the constant reference evaporative fraction method with fixed or variable surface.Journal of Geophysical Research: Atmospheres，122, 784~801, 2017.
[5]Tang Ronglin, Li Zhao-Liang. An improved constant evaporative fraction method for estimating daily evapotranspiration from remotely sensed instantaneous observations. GeophysicalResearch Letters, 44(5), 2319-2326, 2017.
[6]Tang Ronglin, Li Zhao-Liang. 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, 2017.
[7]Tang Ronglin, Li Zhao-Liang. Estimating daily evapotranspiration from remotely sensed instantaneous observations with simplified derivations of a theoretical model.Journal of Geophysical Research: Atmospheres, 122, 10177–10190, 2017.
[8]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, 202, 69-82, 2015.
[9]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.
[10]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.
[11] 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, 99, 1-11, 2015.
[12] 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.
[13]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, 138, 102-118, 2013.
[14]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, 174, 28-42, 2013.
[15]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, 2013.
[16]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.
[17]Tang Ronglin, Li Zhao-Liang, Jia Yuanyuan, Li Chuanrong, Sun Xiaomin, William P. Kustasf, Martha C. Andersonf. 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, 2011.
[18]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, 116(D4), 2011.
[19]Tang Ronglin, Li Zhao-Liang, Tang Bohui. 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, 2010.
[20] 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.
[2] 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, 11(2), 513-521, 2018.
[3] Jiang Yazhen, Jiang Xiaoguang, *Tang Ronglin, Li Zhao-Liang, Zhang Yuze, Liu Zhao-xia, Huang Cheng. Effect of Cloud Cover on Temporal Upscaling of Instantaneous Evapotranspiration. Journal of HydrologicEngineering, 24(3), DOI: 10.1061/(ASCE)HE.1943-5584.0001635, 2018.
[4]Tang Ronglin, Li Zhao-Liang, Sun Xiaomin, Bi Yuyun. Temporal upscaling of instantaneous evapotranspiration clear-sky days using the constant reference evaporative fraction method with fixed or variable surface.Journal of Geophysical Research: Atmospheres，122, 784~801, 2017.
[5]Tang Ronglin, Li Zhao-Liang. An improved constant evaporative fraction method for estimating daily evapotranspiration from remotely sensed instantaneous observations. GeophysicalResearch Letters, 44(5), 2319-2326, 2017.
[6]Tang Ronglin, Li Zhao-Liang. 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, 2017.
[7]Tang Ronglin, Li Zhao-Liang. Estimating daily evapotranspiration from remotely sensed instantaneous observations with simplified derivations of a theoretical model.Journal of Geophysical Research: Atmospheres, 122, 10177–10190, 2017.
[8]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, 202, 69-82, 2015.
[9]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.
[10]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.
[11] 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, 99, 1-11, 2015.
[12] 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.
[13]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, 138, 102-118, 2013.
[14]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, 174, 28-42, 2013.
[15]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, 2013.
[16]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.
[17]Tang Ronglin, Li Zhao-Liang, Jia Yuanyuan, Li Chuanrong, Sun Xiaomin, William P. Kustasf, Martha C. Andersonf. 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, 2011.
[18]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, 116(D4), 2011.
[19]Tang Ronglin, Li Zhao-Liang, Tang Bohui. 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, 2010.
[20] 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.
