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  1. Bai, J., Jia, L., Liu, S., Xu, Z., Hu, G., Zhu, M., Song, L.. Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes. IEEE Geoscience and Remote Sensing Letters, 2015, 12(5), 943-947. doi:10.1109/LGRS.2014.2368580 [Related dataset]
  2. Bartholomé E, Belward AS. GLC2000: a new approach to global land cover mapping from Earth observation data. International Journal of Remote Sensing, 2005, 26(9): 1959-1977. [Related dataset]
  3. 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. [Related dataset]
  4. Gao SG, Zhu ZL, Liu SM, Jin R, Yang GC, Tan L. 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, 2014, 32, 54-66. doi:10.1016/j.jag.2014.03.003 [Related dataset]
  5. Ge Y, Liang YZ, Wang JH, Zhao QY, Liu SM. Upscaling sensible heat fluxes with area-to-area regression kriging.  IEEE Geoscience and Remote Sensing Letters, 2015, 12(3), 656-660.doi:10.1109/LGRS.2014.2355871 [Related dataset]
  6. Giri C, Zhu Z, Reed B. A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets. Remote sensing of environment, 2005, 94(1): 123-132. [Related dataset]
  7. Gong P, Wang J, Yu L, Zhao Y, Zhao Y, Liang L, et al. Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 2013, 34(7): 2607-2654. [Related dataset]
  8. Guang J, Xue Y, Yang L, Mei L, He X. A method for retrieving land surface reflectance using MODIS data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1564-1570. [Related dataset]
  9. Han XJ, Franssen HJH, Rosolem R, Jin R, Li X, Vereecken H. Correction of systematic model forcing bias of CLM using assimilation of Cosmic-Ray neutrons and land surface temperature: a study in the Heihe Catchment, China. Hydrology and Earth System Sciences, 2015, 19, 615-629. [Related dataset]
  10. Han XJ, Jin R, Li X, Wang SG, Soil Moisture Estimation Using Cosmic-Ray Soil Moisture Sensing at Heterogeneous Farmland. IEEE Geoscience and Remote Sensing Letters, 2014, 11(9): 1659-1663 [Related dataset]
  11. Heshun Wang, Qing Xiao, Hua Li, Yongming Du, and Qinhuo Liu. 2015. Investigating the Impact of Soil Moisture on Thermal Infrared Emissivity Using ASTER Data. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 12(2): 294-298. doi: 10.1109/LGRS.2014.2336912 [Related dataset]
  12. He XB, et al. Comparison of a tipping-buchet and electronic weighting precipitation gauge for rainfall. Journal of Hydrology, 2016, under review. [Related dataset]
  13. Huang LJ, Wen, XF. Temporal variations of atmospheric water vapor δD and δ18O above an arid artificial oasis cropland in the Heihe River Basin. Journal of Geophysical Research–Atmospheres, 2014, 119(19), 11456- 11476. doi:10.1002/2014JD021891 [Related dataset]
  14. Hu MG, Wang JH, Ge Y, Liu MX, Liu SM, Xu ZW, Xu TR. Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging, Atmosphere 2015, 6, 1032-1044. [Related dataset]
  15. Jian Kang, Rui Jin, Xin Li. Regression kriging-based upscaling of soil moisture measurements from a wireless sensor network and multi-resource remote sensing information over heterogeneous cropland. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1): 92-96, doi:10.1109/LGRS.2014.2326775. [Related dataset]
  16. Kang, J.; Li, X.; Jin, R., et al. Hybrid optimal design of the eco-hydrological wireless sensor network in the middle reach of the Heihe River Basin, China. Sensors, 2014, 14(10): 19095-19114. [Related dataset]
  17. Lei Fan, Qing Xiao, Jianguang Wen, Qiang Liu, Yong Tang, Dongqin You, Heshun Wang, Zhaoning Gong, and Xiaowen Li. 2015. Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture. Remote Sensing, 7(3):3114-3137. doi:10.3390/rs70303114 [Related dataset]
  18. Liu Junfeng, Rensheng Chen, YaoXuanSong. Observations of precipitation type using a timelapse camera in a mountainous region and calculation of the rain/snow proportion based on the critical air temperature, Environmental Earth Sciences, 2015, 73, 1545-1554 [Related dataset]
  19. Liu Q, Xiao Q, Liu ZG, et al. Image Processing Method of Airborne WiDAS Sensor in WATER Campaign. Remote sensing technology and application, 2010, 25(6):799-804. [Related dataset]
  20. Liu Q, Yan CY, Xiao Q, Yan GJ, Fang L. Separating vegetation and soil temperature using airborne multiangular remote sensing image data. International Journal of Applied Earth Observation and Geoinformation, 2012, 17: 66-75, doi:10.1016/j.jag.2011.10.003. [Related dataset]