Prof. Dr. L. (Li) Jia

Director of Lab of Earth Observation for Terrestrial Water Cycle (EOWater)
Aerospace Information Research Institute (AIR)
Chinese Academy of Sciences (CAS)
Telephone: 0086-10-64807982
Address: no. 20 Datun Road, Chaoyang District, Beijing 100101, China 
Postcode: 100101

Research Areas

Remote Sensing for Water Cycle and Climate Change


​PhD in Environmental Science (Remote Sensing Applications) from Wageningen University, The Netherlands.

Research Interest

- Modeling the energy, water and carbon exchanges between the land surface and the atmosphere using satellite remote sensing observations across visible – near infrared – shortwave infrared – thermal infrared – microwave spectral domains. 

Radiative transfer modeling and retrievals of land surface bio-physical and essential climate variables from satellite observations, including albedo, land surface temperature, soil moisture, vegetation indices, etc.

Remote sensing applications to evapotranspiration, crop water use, biomass production/crop yield, drought monitoring under changing environment and climate. 

Remote sensing applications to cryosphere environment study.


selected publications:

  • Zhang J., L. Jia*, M. Menenti and S.T. Ren, Interannual and Seasonal Variability of Glacier Surface Velocity in the Parlung Zangbo Basin, Tibetan Plateau. Remote Sens. 2021, 13, 80.

  • Yi, ZW; Jia L; Chen QT, 2020, Crop classification using multi-temporal Sentinel-2 data in Shiyang River Basin of China, Remote Sensing, 12, 4052;

  • Barnieh A.B., L. Jia*, M. Menenti, J. Zhou, Y.L. Zeng, 2020, Mapping Land Use Land Cover Transitions at Different Spatiotemporal Scales in West Africa, Sustainability, 2020, 12, 8565; doi:10.3390/su12208565.

  • Zhou J., L. Jia*, M. Menenti, M. van Hoek, J. Lu, C.L. Zheng, X.T. Yuan, Characterizing vegetation response to rainfall at multiple temporal scales in the Sahel-Sudano-Guinean region using transfer function analysis, Remote Sensing of Environment, 252 (2021-01) 112108, 

  • Lu J., L. Jia, C. L. Zheng, R. L. Tang, Y. Z. Jiang, A Scheme to Estimate Diurnal Cycle of Evapotranspiration from Geostationary Meteorological Satellite Observations, Water, 2020, 12(9), 2369.

  • Nutchanart Sriwongsitanon, Thienchart Suwawong, Sansarith Thianpopirug, Li Jia, Wim G. M. Bastiaanssen, 2020, Validation of seven global remotely sensed ET products across Thailand using water balance measurements and land use classifications, Journal of Hydrology, 

  • Imeshi Weerasinghe, Wim Bastiaanssen, Marloes Mul, Li Jia, Ann van Griensven, 2020, Can we trust remote sensing evapotranspiration products over Africa?,  Hydrology and Earth System Sciences.

  • Ren S.T., M. Menenti, L. Jia*, J. Zhang, J. Zhang, X. Li, 2020, Glacier mass balance in the Nyainqentanglha Mountains between 2000 and 2017 retrieved from ZiYuan-3 stereo images and the SRTM DEM, Remote Sensing, 2020, 12, 864; doi:10.3390/rs12050864.

  • Zheng C.L., L. Jia, 2020, Global canopy rainfall interception loss derived from satellite earth observations, Ecohydrology, 

  • Xie Q., M. Menenti, L. Jia*, 2019, Improving the AMSR-E/NASA soil moisture data product using in-situ measurements in the Tibetan Plateau, Remote Sensing, 2019, 11, 2748; doi:10.3390/rs11232748.

  • Yuan X.T., L. Jia*, M.Menenti, J. Zhou, X. Yuan, 2019,  Filtering the NPP-VIIRS Nighttime Light Data for improved detection of settlements in developing Africa, Remote Sensing, 2019, 11, 3002; doi:10.3390/rs11243002.

  • Chen Q., L. Jia*, M. Menenti, R. Hutjes, G. Hu, C. Zheng, K. Wang, 2019, A Numerical Analysis of Aggregation Error in Evapotranspiration Estimates Due to Heterogeneity of Soil Moisture and Leaf Area Index, Agricultural and Forest Meteorology, Volumes 269–270, 15 May 2019, Pages 335-350.

  • van Hoek M, J. Zhou, L. Jia*, J. Lu, C. Zheng, G. Hu and M. Menenti, 2019, A prototype web-based analysis platform for drought monitoring and early warning, International Journal of Digital Earth, DOI: 10.1080/17538947.2019.1585978.

  • Zhang J., L. Jia*, M. Menenti, and G. Hu, 2019, Glacier Facies Mapping Using a Machine-Learning Algorithm: The Parlung Zangbo Basin Case Study, Remote Sensing, 2019, 11, 452; doi:10.3390/rs11040452. Published: 22 February 2019.

  • Zheng C., L. Jia, G. Hu and J. Lu, Earth Observations-Based Evapotranspiration in Northeastern Thailand, Remote Sensing, 2019, 11, 138; doi:10.3390/rs11020138. Published: 12 January 2019.

  • Sun Yibo, Li Jia*, Qiting Chen, and Chaolei Zheng, Optimizing Window Length for Turbulent Heat Flux Calculations from Airborne Eddy Covariance Measurements under Near Neutral to Unstable Atmospheric Stability Conditions, Remote Sensing, 2018, 10, 670; doi:10.3390/rs10050670 (Published: 25 April 2018).

  • Lu J., L. Jia*, M. Menenti, Y. Yan, C. Zheng, and J. Zhou, 2018, Performance of the Standardized Precipitation Index Based on the TMPA and CMORPH Precipitation Products for Drought Monitoring in China, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing (IEEE JSTARS), 11(5), 1387-1396; DOI: 10.1109/JSTARS.2018.2810163 (Date of Publication: 19 March 2018 )

  • Wang N., L. Jia*, C. Zheng, M. Menenti, 2017, Estimation of subpixel snow sublimation from multispectral satellite observations, Journal of Applied Remote Sensing, 11(4), 046017 (2017), doi: 10.1117/1.JRS.11.046017. 

  • Huang T., L. Jia*, M. Menenti, J. Lu, J. Zhou and G. Hu, 2017, A New Method to Estimate Changes in Glacier Surface Elevation Based on Polynomial Fitting of Sparse ICESat-GLAS Footprints, Sensors 2017, 17, 1803; doi:10.3390/s17081803.

  • Lu S., L. Jia, L. Zhang, Y. Wei, M. H. A. Baig, Z. Zhai, J. Meng, X. Li, G. Zhang, 2017, Lake water surface mapping in the Tibetan Plateau using the MODIS MOD09Q1 product, Remote Sensing Letters, 8(3), 224-233, 2017., 

  • Nana Li, Li Jia*, J. Lu, M. Menenti, J. Zhou, 2017, Regional surface soil heat flux estimate from multiple remote sensing data in a temperate and semi-arid basin, Journal of Applied Remote Sensing, 11(1), 016028 (Feb 17, 2017). doi: 10.1117/1.JRS.11.016028.

  • Gao B., H. Gong, T. Wang, and L. Jia, Reconstruction of MODIS Spectral Reflectance under Cloudy-Sky Condition, Remote Sensing, 2016, 8(9), 727; doi:10.3390/rs8090727.

  • Shang H.L., L. Jia*, M. Menenti*, 2016, Modeling and Reconstruction of Time Series of Passive Microwave Data by Discrete Fourier Transform Guided Filtering and Harmonic Analysis, Remote Sensing, 2016, 8, 970; doi: 10.3390/rs8110970.

  • Zhou J., Jia L.*, Menenti M., Gorte B., 2016, On the performance of remote sensing time series reconstruction methods – a spatial comparison, Remote Sensing of Environment, 187,  367–384.

  • Song C., Jia L.*, 2016, A Method For Downscaling FengYun-3B Soil Moisture Based On Apparent Thermal Inertia, Remote Sensing, 8, 703; doi:10.3390/rs8090703. 

  • Roupioz L., L. Jia, F. Nerry, M. Menenti, 2016, Estimation of Daily Solar Radiation Budget at Kilometer Resolution over the Tibetan Plateau by Integrating MODIS Data Products and a DEM, Remote Sensing, 2016, 8(6), 504; doi:10.3390/rs8060504.

  • Hoek, M.V., L. Jia*, J. Zhou, C. Zheng and M. Menenti, 2016. Early Drought Detection by Spectral Analysis of Satellite Time Series of Precipitation and Normalized Difference Vegetation Index (NDVI). Remote Sensing, 8(422): 1-17. doi:10.3390/ rs8050422.

  • Zhang S., Chen L.F., Su L., Jia L., 2015. A data assimilation-based method for optimizing parameterization schemes in a land surface process model. SCIENCE CHINA Earth Sciences, 2015, 58 (12): 2220-2235.

  • Roupioz L., J. Colin, L. Jia, F. Nerry, and M. Menenti, 2015, Quantify the impact of cloud cover on radiation fluxes ground measurements from hemispherical images, International Journal of Remote Sensing, Vol. 36, Nos. 19–20, 5087–5104,

  • Zhou J., L. Jia*, and M. Menenti, 2015, Reconstruction of Global MODIS Vegetation Index Time Series: Performance of Harmonic ANalysis of Time Series (HANTS), Remote Sensing of Environment, 163, 217-228; 10.1016/j.rse.2015.03.018.

  • Shang H.L., L. Jia*, M. Menenti, 2015, Analyzing the Inundation Pattern of the Poyang Lake Floodplain by Passive Microwave Data. Journal of Hydrometeorology (J. Hydrometeor), 16(2), 652–667; doi: (impact factor: 3.57)

  • Li N.N., L. Jia*, J. Lu, 2015, An improved algorithm to estimate the surface soil heat flux over a heterogeneous surface: - a case study in the Heihe River Basin, Science in China, 58(7), 1169-1181; doi: 10.1007/s11430-014-5041-y.

  • Chen Q.T., L. Jia*, R. Hutjes, M. Menenti, 2015, Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data, Remote Sensing, 2015, 7(4), 3690-3709; doi:10.3390/rs70403690.

  • Hu G.C. and L. Jia*, 2015, Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations, Remote Sensing, 7(3), 3056-3087; doi:10.3390/rs70303056.

  • Li Z.S., L. Jia*, G. C. Hu, J. Lu, Q.T. Chen, J.X. Zhang and K. Wang, 2015, Estimation of Growing Season Daily ET in the Middle Stream and Downstream Areas of the Heihe River Basin Using HJ-1 Data,  IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 12(5), 948 – 952, DOI:  10.1109/LGRS.2014.2368694.

  • Bai J., L. Jia*, S. Liu, Z. Xu, G.C. Hu, M. Zhu, 2015, Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-based Surface Fluxes, IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 12(5), 943 – 947, doi: 10.1109/LGRS.2014.2368580.

  • Ouyang X., L. Jia, Y.Q. Pan, G.C. Hu, 2015, Retrieval of the land surface temperature over the Heihe River Basin by using the thermal infrared data of HJ-1B, Remote Sensing, 7(1), 300-318; doi:10.3390/rs70100300.

  • Hu G.C., L. Jia*, Menenti M. 2015, Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011. Remote Sensing of Environment, 156, 510–526, doi:10.1016/j.rse.2014.10.017.

  • Li, Z.S., L. Jia*, J. Lu, 2015, On Uncertainties of the Priestley-Taylor/LST-Fc Feature Space Method to Estimate Evapotranspiration: Case Study in An Arid/Semiarid Region in Northwest China, Remote Sensing, 7(1), 447-466, doi:10.3390/rs70100447.

  • Cui Y.K., L. Jia*, G.C. Hu, and J. Zhou, 2015, Mapping of Interception Loss of Vegetation in the Heihe River Basin of China Using Remote Sensing Observations, IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 12(1), 23 – 27; doi:10.1109/LGRS.2014.2324635.

  • Roupioz L, F. Nerry, L. Jia, and M. Menenti, 2014, Improved Surface Reflectance from Remote Sensing Data with Sub-Pixel Topographic Information, Remote Sensing, 2014, 6(11), 10356-10374; doi: 10.3390/rs61110356.

  • Cui Y.K., L. Jia*, 2014, A Modified Gash Model for Estimating Rainfall Interception Loss of Forest Using Remote Sensing Observations at Regional Scale, Water, 2014, 6(4), 993-1012; doi:10.3390/w6040993. 

  • Song CY, L. Jia*, M. Menenti, 2014, Retrieving High-Resolution Surface Soil Moisture By Downscaling AMSR-E Brightness Temperature Using MODIS LST And NDVI Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2014, 7(3), 935 – 942; doi: 10.1109/JSTARS.2013.2272053.

  • Gao B. and L. Jia*, 2014, Derivation of land surface albedo at high resolution by combining HJ-1A/B reflectance observations and MODIS BRDF products, Remote Sensing, 2014, 6(9), 8966-8985; doi:10.3390/rs6098966.

  • Gao, B., L. Jia*, M. Menenti, 2014, An improved method of retrieving land surface albedo over rugged terrain, IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), 11(2): 554 - 558, doi: 10.1109/LGRS.2013.2275072.

  • Jia L., H. Shang, G. Hu, and M. Menenti, 2011, Phenological response of vegetation to upstream river flow in the Heihe River basin by time series analysis of MODIS data, Hydrology and Earth System Sciences, 15, 1047–1064.

  • Liu S., J. Bai, Z. Jia, L. Jia, H. Zhou, and L. Lu, 2010, Estimation of evapotranspiration in the Mu Us Sandland of China, Hydrology and Earth System Sciences, 14, 573–584, 2010.

  • Jia L., G. Xi, S. Liu, C. Huang, Y. Yan, G. Liu, 2009, Regional estimation of Daily to Annual Regional Evapotranspiration with MODIS data in the Yellow River Delta wetland, Hydrology and Earth System Sciences, 13, 1775-1787. 

  • van der Kwast, J., W. Timmermans, A. Gieske, Z. Su, A. Olioso, L. Jia, J. Elbers, D. Karssenberg, and S. de Jong, 2009, Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain), 2009, paper submitted to Special Issue on ‘“Advances in Land Surface Hydrological Processes - Field Observations, Modeling and Data Assimilation”, Hydrology and Earth System Sciences, 13, 1337–1347.

  • Su Z., W.J. Timmermans, C. van der Tol, R. Dost, R. Bianchi , J.A. Gómez, A. House, I. Hajnsek, M. Menenti, V. Magliulo, M. Esposito , R. Haarbrink, F. Bosveld, R. Rothe, H.K. Baltink, Z. Vekerdy , J.A. Sobrino, J. Timmermans, P. van Laake, S. Salama , H. van der Kwast, E. Claassen, A. Stolk, L. Jia, E. Moors , O. Hartogensis , A. Gillespie, 2009, EAGLE 2006 – Multi-purpose, multi-angle and multi-1 sensor in-situ 2 and airborne campaigns over grassland and forest, Special Issue on ‘Advances in Land Surface Hydrological Processes - Field Observations, Modeling and Data Assimilation’, Hydrology and Earth System Sciences, 13, 833–845.

  • Sobrino, J. A., J. C. Jiménez-Muñoz, P. J. Zarco-Tejada, G. Sepulcre-Cantó, E. de Miguel, G. Sòria, M. Romaguera, Y. Julien, J. Cuenca, V. Hidalgo, B. Franch, C. Mattar, L. Morales, A. Gillespie, D. Sabol, L. Balick, Z. Su, L. Jia, A. Gieske, W. Timmermans, A. Olioso, F. Nerry, L. Guanter, J. Moreno, and Q. Shen, 2009, Thermal remote sensing from Airborne Hyperspectral Scanner data in the framework of the SPARC and SEN2FLEX projects: an overview. Hydrol. Earth Syst. Sci., 13, 2031-2037.

  • Lu L., S. Liu, Z. Xu, K. Yang, X. Cai, L. Jia, and K. Wang, 2009, The characteristics and parameterization of aerodynamic roughness length over heterogeneous surfaces, ADVANCES IN ATMOSPHERIC SCIENCES, 26 (1), 180–190.

  • Su, Z., W. Timmermans, A. Gieske, L. Jia, J. A. Elbers, A. Olioso, J. Timmermans, R. Van Der Velde, X. Jin, H. Van Der Kwast, F. Nerry, D. Sabol, J. A. Sobrino, J. Moreno, R. Bianchi, 2008, Quantification of land-atmosphere exchanges of water, energy and carbon dioxide in space and time over the heterogeneous Barrax site, International Journal of Remote Sensing,  Vol.29(17-18), 5215 – 5235.

  • Liu, S., L. Lu, D. Mao, and L. Jia, 2007, Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements, Hydrology and Earth System Sciences, 11, 769–783.

  • Verhoef, W., L. Jia, Q. Xiao, Z. Su, 2007. Unified optical-thermal four-stream radiative transfer theory for homogeneous vegetation canopies. IEEE Transactions on Geoscience and Remote Sensing. Vol. 45, no.6, 1808-1822.

  • Ma, Y., M. Song, H. Ishikawa, K. Yang, T. Koike, L. Jia, M. Menenti and Z. Su, 2007. Estimation of the regional evaporative fraction over the Tibetan Plateau area by using Landsat-7 ETM data and the field observations. J. Meteorol. Soc. Japan, 85A, 295 – 309.

  • Jia, L., Z.-L. Li, M. Menenti, Z. Su, W. Verhoef and Z. Wan, 2003, A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data, International Journal of Remote Sensing, 24 (23), 4739–4760.

  • Jia, L., Su, Z., van den Hurk, B. J.J.M., Menenti, M., et al, 2003, Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements, Journal of Physics and Chemistry of the Earth, 28, 75-88.

  • Li, Z.-L., Jia, L., Su, Z., Wan, Z., and Zhang, R., 2003, A New Approach for Retrieving Precipitable Water From ATSR2 Split-Window Channel Data Over Land Area, International Journal of Remote Sensing,, 24 (24), 5059-5117.

  • Van den Hurk, B.J.J.M., Jia, L., Jacobs, C., Menenti, M., and Li, Z.-L., 2002, Assimilation of land surface temperature data from ATSR in an NWP environment – a case study, International Journal of Remote Sensing, 23 (24), 5193-5210.

  • Menenti, M., L. Jia, Z.-L. Li V. Djepa,, J. Wang, M.P. Stoll, Z.B. Su and M. Rast, 2001, Estimation of soil and vegetation temperatures with directional thermal infrared observations: the IMGRASS, HEIFE and SGP’97 experiments, Journal of Geophysical Research., 106 (D11), 11,997-12,010.

  • Li, Z.-L., M.P. Stoll, R.H. Zhang, L. Jia and Z. Su, 2000, Study on the estimation of soil and vegetation component temperatures from ATSR2 data, Science in China, E30 (English Edition): 27-38.



高博  博士研究生  070503-地图学与地理信息系统  

宋承运  博士研究生  070503-地图学与地理信息系统  

阮照洁  硕士研究生  430109-电子与通信工程  

杨锦鑫  硕士研究生  430109-电子与通信工程  

李占胜  博士研究生  070503-地图学与地理信息系统  

李娜娜  博士研究生  070503-地图学与地理信息系统  

潘颖琪  硕士研究生  070503-地图学与地理信息系统  

王宁  博士研究生  070503-地图学与地理信息系统  

崔要奎  博士研究生  070503-地图学与地理信息系统  

周杰  博士研究生  070503-地图学与地理信息系统  

吴保见  硕士研究生  070503-地图学与地理信息系统  

张静潇  博士研究生  070503-地图学与地理信息系统  

陈琪婷  博士研究生  070503-地图学与地理信息系统  

黄田进  硕士研究生  070503-地图学与地理信息系统  

孙义博  博士研究生  070503-地图学与地理信息系统  

尹燕旻  硕士研究生  070503-地图学与地理信息系统  

袁笑甜  博士研究生  070503-地图学与地理信息系统  

张婧  博士研究生  070503-地图学与地理信息系统  

易志伟  硕士研究生  070503-地图学与地理信息系统  

白瑜  博士研究生  070503-地图学与地理信息系统  

沈聪  硕士研究生  070503-地图学与地理信息系统  

杜丹丹  硕士研究生  070503-地图学与地理信息系统  

米佩  硕士研究生  085700-资源与环境  

崔梦圆  硕士研究生  085700-资源与环境  


李鹏  博士研究生  070503-地图学与地理信息系统  

贾珺茹  博士研究生  070503-地图学与地理信息系统  

曾业隆  博士研究生  070503-地图学与地理信息系统  

张逸卿  博士研究生  070503-地图学与地理信息系统  

吕云哲  博士研究生  070503-地图学与地理信息系统  

陈旧  博士研究生  070503-地图学与地理信息系统  

马嘉琳  博士研究生  070503-地图学与地理信息系统  


selected on-going projects:
  • PI, Smart Remote Sensing of Key Variables of Terrestrial Water Cycle at Multiple Spatio-temporal Scales, Key project of Natural Science Foundation of China (NSFC), 2021 – 2025.

  • PI, Airborne Flux Observation of the Land-Atmosphere Interaction between the Heterogeneous Underlying Surface in the Westerly Wind-Monsoon Area. subproject of Second Tibetan Plateau Scientific Expedition and Research Program (STEP), 1999 – 2023.

  • PI, Data Products of Essential Components of Terrestrial Water Cycle Derived from Big Earth Data, sub-project under the Program of Big Earth Data Science and Engineering of Chinese Academy of Sciences (CASEarth), 2018-2022.

  • PI, Satellite Observations For Improving Irrigation Water Management (Sat4irriwater), NRSCC - ESA Dragon-5 program, 2020-2022.

  • PI, Driving Mechanisms of Land Use and Cover Change in the Sahel: Impacts and Responses (DIMECLUES), international cooperation project of NSFC-UNEP program, 2017-2021.

Other Academic Activities

  • Panel member of the GEWEX Hydroclimatology Panel (GHP) since 2019;

  • Co-chair of Task 6 (Monitoring and Evaluation of Drought in Asia-Oceania Region) of Asia-Oceania GEO (AOGEO) since 2017;

  • Co-chair of DBAR Water (Water Working Group of Digital Belt and Road Science Plan) since 2016.