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Xu, T.R., Liu, S.M., Liang, S.L., & Qin, J. (2011). Improving predictions of water and heat fluxes by assimilating MODIS land surface temperature products into common land model, Journal of Hydrometeorology, 12(2), 227-244.
Jia, Niu, B. , Zhao, & Zhou, L. . (2012). Estimation of vegetation ecological water requirement using remote sensing in the groundwater-fluctuating belt in lower reaches of Heihe River, Northwest China. International Symposium on Geomatics for Integrated Water Resources Management. IEEE.
Gao, S.G., Zhu, Z.L., Liu, S.M., Jin, R., Yang, G.C., Tan, L. (2014). Estimating spatial distribution of soil moisture based on Bayesian maximum entropy method with auxiliary data from remote sensing. International Journal of Applied Earth Observation and Geoinformation, 32, 54-66. doi:10.1016/j.jag.2014.03.003.
Xu, T., Liu, S., Xu, L., Chen ,Y., Jia, Z., Xu, Z., &Nielson, J. (2015). Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration. Remote Sensing, 7(3), 3400-3425.
Xu, T.R., Liu, S.M., Xu, Z.W., Liang, S.L., &Xu, L. (2015). A dual-pass data assimilation scheme for estimating surface fluxes with FY3A-VIRR land surface temperature. Science China Earth Science, 58(2), 211-230.
Zhu, Z.L., Tan, L., Gao, S.G., &Jiao, Q.S. (2015). Oberservation on soil moisture of irrigated cropland by cosmic-ray probe. IEEE Geoscience and Remote Sensing Letters, 12(3), 472-476.
Ran YH, Li X, Lu L, Li ZY. Large-scale land cover mapping with the integration of multi-source information based on the Dempster–Shafer theory. International Journal of Geographical Information Science, 2012, 26(1): 169-191.
Song, L.S., Kustas WP, Liu, S.M., Colaizzi PD, Nieto H, Xu, Z.W., Ma, Y.F., Li, M.S., Xu, T.R., Agam, N., Tolk, J., & Evett, S. (2016). Applications of a thermal-based two-source energy balance model using Priestley-Taylor approach for surface temperature partitioning under advective conditions. Journal of Hydrology, doi:10.1016/j.jhydrol.2016.06.034.
Dazhi Li, Rui Jin, Jian Zhou. Analysis and Reduction of the Uncertainties in Soil Moisture Estimation with the L-MEB Model Using EFAST and Ensemble Retrieval. IEEE Geoscience and Remote Sensing Letters, 2015, 12(6): 1337-1341, doi: 10.1109/LGRS.2015.2399776.
李婧，范泽孟，岳天祥．中国西南地区土地覆盖情景的时空模拟．生态学报，2014，34( 12) : 3266-3275．[Li J，Fan Z M Yue T X． Spatio-temporal simulation of land cover scenarios in southwestern of China． Acta Ecologica Sinica，2014，34( 12) : 3266-3275．]

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