(Carter and Liang 2018; Chen et al. 2018a; Chen et al. 2018b; Cheng et al. 2018a; Cheng et al. 2018b; He et al. 2018; Huang et al. 2018; Jia et al. 2018a; Jia et al. 2018b; Liang et al. 2018; Liu et al. 2018a; Liu et al. 2018b; Lu et al. 2018; Ma et al. 2018; Peng et al. 2018; Rao et al. 2018; Song et al. 2018; Tao et al. 2018; Wang et al. 2018a; Wang et al. 2018b; Weatherhead et al. 2018; Wei et al. 2018; Wu and Liang 2018; Xiao et al. 2018; Yang et al. 2018a; Yang et al. 2018b; Yao et al. 2018; Zhang et al. 2018a; Zhang et al. 2018b; Zhang and Liang 2018; Zhou et al. 2018)

Papers published in 2018

1. Carter, C., & Liang, S. (2018). Comprehensive evaluation of empirical algorithms for estimating land surface evapotranspiration. Agricultural and Forest Meteorology, 256–257, 334-345

2. Chen, D., Loboda, T.V., He, T., Zhang, Y., & Liang, S. (2018a). Strong cooling induced by stand-replacing fires through albedo in Siberian larch forests. Scientific Reports, 8, 4821

3. Chen, X., Long, D., Liang, S., He, L., Zeng, C., Hao, X., & Hong, Y. (2018b). Developing a composite daily snow cover extent record over the Tibetan Plateau from 1981 to 2016 using multisource data. Remote Sensing of Environment, 215, 284-299

4. Cheng, J., Liang, S.L., Liu, H., Nie, A.X., & Liu, Q. (2018a). A disaggregation approach for estimating high spatial resolution broadband emissivity for bare soils from Landsat surface reflectance. International Journal of Digital Earth, 11, 691-702

5. Cheng, J., Liang, S.L., Nie, A.X., & Liu, Q. (2018b). Is There a Physical Linkage Between Surface Emissive and Reflective Variables Over Non-Vegetated Surfaces? Journal of the Indian Society of Remote Sensing, 46, 591-596

6. He, T., Liang, S., Wang, D., Cao, Y., Gao, F., Yu, Y., & Feng, M. (2018). Evaluating land surface albedo estimation from Landsat MSS, TM, ETM +, and OLI data based on the unified direct estimation approach. Remote Sensing of Environment, 204, 181-196

7. Huang, G., Liang, S., Lu, N., Ma, M., & Wang, D. (2018). Toward a Broadband Parameterization Scheme for Estimating Surface Solar Irradiance: Development and Preliminary Results on MODIS Products. Journal of Geophysical Research: Atmospheres, 123, doi:10.1029/2018JD028905

8. Jia, A., Liang, S., Jiang, B., Zhang, X., & Wang, G. (2018a). Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis. Journal of Geophysical Research: Atmospheres, 123, 1970-1989

9. Jia, K., Liang, S.L., Wei, X.Q., Yao, Y.J., Yang, L.Q., Zhang, X.T., & Liu, D.Y. (2018b). Validation of Global LAnd Surface Satellite (GLASS) fractional vegetation cover product from MODIS data in an agricultural region. Remote Sensing Letters, 9, 847-856

10. Liang, S., Shi, J., & Yan, G. (2018). Recent Progress in Quantitative Land Remote Sensing in China. Remote Sensing, 10, 1490

11. Liu, D., Yang, L., Jia, K., Liang, S., Xiao, Z., Wei, X., Yao, Y., Xia, M., & Li, Y. (2018a). Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine Learning Methods. Remote Sensing, 10, 1648

12. Liu, Q., Yan, G., Jiao, Z., Xiao, Q., Wen, J., Liang, S., Wang, J., Schaaf, C., & Strahler, A. (2018b). From Geometric-Optical Remote Sensing Modeling to Quantitative Remote Sensing Science—In Memory of Academician Xiaowen Li. Remote Sensing, 10, 1764

13. Lu, N., Liang, S., Huang, G., Qin, J., Yao, L., Wang, D., & Yang, K. (2018). Hierarchical Bayesian space-time estimation of monthly maximum and minimum surface air temperature. Remote Sensing of Environment, 211, 48-58

14. Ma, H., Liang, S., Xiao, Z., & Wang, D. (2018). Simultaneous Estimation of Multiple Land Surface Parameters from VIIRS Optical-Thermal data. Ieee Geoscience and Remote Sensing Letters, 15, 151-160

15. Peng, J., Yu, Y., Yu, P., & Liang, S. (2018). The VIIRS Sea-Ice Albedo Product Generation and Preliminary Validation. Remote Sensing, 10, 1826

16. Rao, Y., Liang, S., & Yu, Y. (2018). Land surface air temperature data are considerably different among BEST-LAND, CRU-TEM4v, NASA-GISS, and NOAA-NCEI. Journal of Geophysical Research - Atmosphere, 123, https://doi.org/10.1029/2018JD028355

17. Song, Z., Liang, S., Wang, D., Zhou, Y., & Yu, Y. (2018). Long-term record of top-of-atmosphere albedo generated from AVHRR data. Remote Sensing of Environment, 211, 71-88

18. Tao, X., Liang, S., Wang, D., He, T., & Huang, C. (2018). Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Data Integration: Methodology and Validation. IEEE Transactions on Geoscience and Remote Sensing, 56, 2107-2118

19. Wang, B., Jia, K., Liang, S., Xie, X., Wei, X., Zhao, X., Yao, Y., & Zhang, X. (2018a). Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover. Remote Sensing, 10, 1927

20. Wang, L., Wang, P.X., Li, L., Xun, L., Kong, Q.L., & Liang, S.L. (2018b). Developing an integrated indicator for monitoring maize growth condition using remotely sensed vegetation temperature condition index and leaf area index. Computers and Electronics in Agriculture, 152, 340-349

21. Weatherhead, E.C., Wielicki, B.A., Ramaswamy, V., Abbott, M., Ackerman, T.P., Atlas, R., Brasseur, G., Bruhwiler, L., Busalacchi, A.J., Butler, J.H., Clack, C.T.M., Cooke, R., Cucurull, L., Davis, S.M., English, J.M., Fahey, D.W., Fine, S.S., Lazo, J.K., Liang, S.L., Loeb, N.G., Rignot, E., Soden, B., Stanitski, D., Stephens, G., Tapley, B.D., Thompson, A.M., Trenberth, K.E., & Wuebbles, D. (2018). Designing the Climate Observing System of the Future. Earths Future, 6, 80-102

22. Wei, H., Zhao, X., Liang, S., Zhou, T., Wu, D., & Tang, B. (2018). Effects of Warming Hiatuses on Vegetation Growth in the Northern Hemisphere. Remote Sensing, 10, 683

23. Wu, J., & Liang, S. (2018). Developing an Integrated Remote Sensing Based Biodiversity Index for Predicting Animal Species Richness. Remote Sensing, 10, 739

24. Xiao, Z., Liang, S., & Sun, R. (2018). Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. IEEE Transactions on Geoscience and Remote Sensing, 56, DOI: 10.1109/TGRS.2018.2818929

25. Yang, L., Jia, K., Liang, S., Liu, M., Wei, X., Yao, Y., Zhang, X., & Liu, D. (2018a). Spatio-Temporal Analysis and Uncertainty of Fractional Vegetation Cover Change over Northern China during 2001–2012 Based on Multiple Vegetation Data Sets. Remote Sensing, 10

26. Yang, L., Zhang, X., Liang, S., Yao, Y., Jia, K., & Jia, A. (2018b). Estimating Surface Downward Shortwave Radiation over China Based on the Gradient Boosting Decision Tree Method. Remote Sensing, 10, 185

27. Yao, Y., Liang, S., Cao, B., Liu, S., Yu, G., Jia, K., Zhang, X., Zhang, Y., Chen, J., & Fisher, J.B. (2018). Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data. Journal of Geophysical Research: Atmospheres, 123, 11,410-411,430

28. Zhang, Q., Cheng, J., & Liang, S. (2018a). Deriving high-quality surface emissivity spectra from atmospheric infrared sounder data using cumulative distribution function matching and principal component analysis regression. Remote Sensing of Environment, 211, 388-399

29. Zhang, Y., He, T., Liang, S., Wang, D., & Yu, Y. (2018b). Estimation of all-sky instantaneous surface incident shortwave radiation from Moderate Resolution Imaging Spectroradiometer data using optimization method. Remote Sensing of Environment, 209, 468-479

30. Zhang, Y., & Liang, S. (2018). Impacts of land cover transitions on surface temperature in China based on satellite observations. Environmental Research Letters, 13, 024010

31. Zhou, H., Wang, J., & Liang, S. (2018). Design of a Novel Spectral Albedometer for Validating the MODerate Resolution Imaging Spectroradiometer Spectral Albedo Product. Remote Sensing, 10, 101