(Bai et al. 2021; Chen et al. 2021; Cheng et al. 2021; Cui et al. 2021a; Cui et al. 2021b; Jia et al. 2021; Jiang et al. 2021; Li et al. 2021a; Li et al. 2021b; Li et al. 2021c; Liang et al. 2021; Liu et al. 2021; Ma et al. 2021; Peng et al. 2021; Shang et al. 2021; Shi et al. 2021; Wang et al. 2021a; Wang et al. 2021b; Wei et al. ; Xiao et al. 2021; Xu et al. 2021; Xue et al. 2021; Yao et al. 2021; Zhang et al. 2021a; Zhang et al. 2021b; Zhao et al. 2021)

Papers published in 2021

1) Bai, Y., Liang, S., & Yuan, W. (2021). Estimating Global Gross Primary Production from Sun-Induced Chlorophyll Fluorescence Data and Auxiliary Information Using Machine Learning Methods. Remote Sensing, 13, 963

2) Chen, Y., Liang, S., Ma, H., Li, B., He, T., & Wang, Q. (2021). An all-sky 1 km daily land surface air temperature product over mainland China for 2003–2019 from MODIS and ancillary data. Earth Syst. Sci. Data, 13, 4241-4261

3) Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032

4) Cui, D., Liang, S., & Wang, D. (2021a). Observed and projected changes in global climate zones based on Köppen climate classification. Wiley Interdisciplinary Reviews: Climate Change, e701

5) Cui, D., Liang, S., Wang, D., & Liu, Z. (2021b). A 1km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables. Earth Syst. Sci. Data, 13, 5087-5114

6) Jia, A., Ma, H., Liang, S., & Wang, D. (2021). Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method. Remote Sensing of Environment, 263, 112566

7) Jiang, F., Xie, X., Liang, S., Wang, Y., Zhu, B., Zhang, X., & Chen, Y. (2021). Loess Plateau evapotranspiration intensified by land surface radiative forcing associated with ecological restoration. Agricultural and Forest Meteorology, 311, 108669

8) Li, B., Liang, S., Liu, X., Ma, H., Chen, Y., Liang, T., & He, T. (2021a). Estimation of all-sky 1 km land surface temperature over the conterminous United States. Remote Sensing of Environment, 266, 112707

9) Li, R., Wang, D., & Liang, S. (2021b). Comprehensive assessment of five global daily downward shortwave radiation satellite products. Science of Remote Sensing, 4, 100028

10) Li, X., Liang, S., & Jin, H. (2021c). An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products. Remote Sensing, 13, 719

11) Liang, S., Cheng, J., Jia, K., Jiang, B., Liu, Q., Xiao, Z., Yao, Y., Yuan, W., Zhang, X., & Zhao, X. (2021). The global Land surface satellite (GLASS) product suite. Bulletin of the American Meteorological Society, 102, E323-E337

12) Liu, X., Liang, S., Li, B., Ma, H., & He, T. (2021). Mapping 30 m Fractional Forest Cover over China’s Three-North Region from Landsat-8 Data Using Ensemble Machine Learning Methods. Remote Sensing, 13, 2592

13) Ma, H., Liang, S., Shi, H., & Zhang, Y. (2021). An Optimization Approach for Estimating Multiple Land Surface and Atmospheric Variables From the Geostationary Advanced Himawari Imager Top-of-Atmosphere Observations. IEEE Transactions on Geoscience and Remote Sensing, 59, 2888-2908

14) Peng, J., Jiang, B., Chen, H., Liang, S., Liang, H., Li, S., Han, J., Liu, Q., Cheng, J., Yao, Y., Jia, K., & Zhang, X. (2021). A New Empirical Estimation Scheme for Daily Net Radiation at the Ocean Surface. Remote Sensing, 13, 4170

15) Shang, K., Yao, Y., Liang, S., Zhang, Y., Fisher, J.B., Chen, J., Liu, S., Xu, Z., Zhang, Y., Jia, K., Zhang, X., Yang, J., Bei, X., Guo, X., Yu, R., Xie, Z., & Zhang, L. (2021). DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information. Agricultural and Forest Meteorology, 308-309, 108582

16) Shi, P., Chen, Y., Zhang, G., Tang, H., Chen, Z., Yu, D., Yang, J., Ye, T., Wang, J., Liang, S., Ma, Y., Wu, J., & Gong, P. (2021). Factors contributing to spatial-temporal variations of observed oxygen concentration over the Qinghai-Tibetan Plateau. Scientific Reports, 11:17338，

17) Wang, D., Liang, S., Li, R., & Jia, A. (2021a). A synergic study on estimating surface downward shortwave radiation from satellite data. Remote Sensing of Environment, 264, 112639

18) Wang, H., Zhao, X., Liang, S., Wu, D., Zhang, X., Wang, Q., Zhao, J., Du, X., & Zhou, Q. (2021b). Developing Long Time Series 1-km Land Cover Maps From 5-km AVHRR Data Using a Super-Resolution Method. IEEE Transactions on Geoscience and Remote Sensing, 59, 5479-5493

19) Wei, Y., Zhang, X., Wenhong, L., Hou, N., Zhang, W., Jiawen, X., Feng, C., Jia, K., Yao, Y., Cheng, J., Jiang, B., Wang, K., & Liang, S. Trends and Variability of Atmospheric Downward Longwave Radiation over China from 1958 to 2015. Earth and Space Science, 8(2):e2020EA001370

20) Xiao, X., Liang, S., He, T., Wu, D., Pei, C., & Gong, J. (2021). Estimating fractional snow cover from passive microwave brightness temperature data using MODIS snow cover product over North America. The Cryosphere, 15, 835-861

21) Xu, J., Jiang, B., Liang, S., Li, X., Wang, Y., Peng, J., Chen, H., Liang, H., & Li, S. (2021). Generating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3. IEEE Transactions on Geoscience and Remote Sensing, 59, 2794-2809

22) Xue, Y., Yao, T., Boone, A.A., Diallo, I., Liu, Y., Zeng, X., Lau, W.K.M., Sugimoto, S., Tang, Q., Pan, X., van Oevelen, P.J., Klocke, D., Koo, M.S., Sato, T., Lin, Z., Takaya, Y., Ardilouze, C., Materia, S., Saha, S.K., Senan, R., Nakamura, T., Wang, H., Yang, J., Zhang, H., Zhao, M., Liang, X.Z., Neelin, J.D., Vitart, F., Li, X., Zhao, P., Shi, C., Guo, W., Tang, J., Yu, M., Qian, Y., Shen, S.S.P., Zhang, Y., Yang, K., Leung, R., Qiu, Y., Peano, D., Qi, X., Zhan, Y., Brunke, M.A., Chou, S.C., Ek, M., Fan, T., Guan, H., Lin, H., Liang, S., Wei, H., Xie, S., Xu, H., Li, W., Shi, X., Nobre, P., Pan, Y., Qin, Y., Dozier, J., Ferguson, C.R., Balsamo, G., Bao, Q., Feng, J., Hong, J., Hong, S., Huang, H., Ji, D., Ji, Z., Kang, S., Lin, Y., Liu, W., Muncaster, R., de Rosnay, P., Takahashi, H.G., Wang, G., Wang, S., Wang, W., Zhou, X., & Zhu, Y. (2021). Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design. Geoscientific Model Development, 14, 4465-4494

23) Yao, Y., Liang, S., Fisher, J.B., Zhang, Y., Cheng, J., Chen, J., Jia, K., Zhang, X., Bei, X., Shang, K., Guo, X., & Yang, J. (2021). A Novel NIR–Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China. IEEE Transactions on Geoscience and Remote Sensing, 59, 4105-4119

24) Zhang, X., Zhou, J., Liang, S., & Wang, D. (2021a). A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature. Remote Sensing of Environment, 260, 112437

25) Zhang, Y., Li, W., & Liang, S. (2021b). New Metrics and the Combinations for Estimating Forest Biomass From GLAS Data. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7830-7839

26) Zhao, J., Zhao, X., Liang, S., Wang, H., Liu, N., Liu, P., & Wu, D. (2021). Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China. Remote Sensing, 13, 3282