2022
(13) Ma, Y., He, T., Liang, S., Xiao, X., (2022). Quantifying the impacts of DEM uncertainty on clear-sky surface shortwave radiation estimation in typical mountainous areas. Agricultural and Forest Meteorology, 327, 109222, doi: 10.1029/2011GL046976.
(12) Xiao, X., He, T., Liang, S., Liu, X., Ma, Y., Liang, S. and Chen, X., (2022). Estimating fractional snow cover in vegetated environments using MODIS surface reflectance data. International Journal of Applied Earth Observation and Geoinformation, 114: 103030, doi: 10.1016/j.jag.2022.103030.
(11) Liu, X., He, T., Sun, L., Xiao, X., Liang, S., & Li, S. (2022). Analysis of Daytime Cloud Fraction Spatio–Temporal Variation over the Arctic During 2000–2019 from Multiple Satellite Products. Journal of Climate, 35(23):3995-4023, doi: 10.1175/JCLI-D-22-0007.1.
(10) Xiao, X., He, T., Liang, S., Zhao, T. (2022). Improving fractional snow cover retrieval from passive microwave data using a radiative transfer model and machine learning method, IEEE Transactions on Geoscience and Remote Sensing, 60: 4304215, doi: 10.1109/TGRS.2021.3128524
2021
(9) 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(2): 835–861, doi: 10.5194/tc-15-835-2021.
(8) Zhong, X., Zhang, T., Su, H., Xiao, X., Wang, S., Hu, Y. Wang, H., Zheng, L., Xu, M. & Wang, J. (2021). Impacts of landscape and climatic factors on spatial and annual snow cover variations in the Altai Mountains, China, Advances in Climate Change Research, 12(1): 95-107, doi: 10.1016/j.accre.2021.01.005.
2020
(7) Liu, Y., Sun, Y., Zhong, X., Wang, S., Xiao, X., Ma, L., Su, H., Zhao, W. & Zhang, T., (2020). Changes of snow cover in the Third Pole and the Arctic. Journal of Glaciology and Geocryology, 42(1): 140-156, doi: 10.7522/j.issn.1000-0240.2020.0007.
(6) Xiao, X., Zhang, T., Zhong, X., Li, X., (2020). Spatiotemporal Variation of Snow Depth in the Northern Hemisphere from 1992 to 2016. Remote Sensing. 12, 2728, doi: 10.3390/rs12172728.
2019
(5) Wang, Q., Yang, Q., Guo, H., Xiao, X., Jin, H., Li, L., Zhang, T. & Wu, Q., (2019). Hydrothermal variations in soils resulting from the freezing and thawing processes in the active layer of an alpine grassland in the Qilian Mountains, northeastern Tibetan Plateau. Theoretical and Applied Climatology, 2019, 136, 929-941, doi: 10.1007/s00704-018-2529-y.
2018
(4) Xiao, X., Zhang, T., Zhong, X., Shao, W. & Li, X., (2018). Support vector regression snow-depth retrieval algorithm using passive microwave remote sensing data. Remote Sensing of Environment, 210:48-64, doi: 10.1016/j.rse.2018.03.008.
(3) Xiao, X. & Zhang, T., (2018). Passive microwave remote sensing of snow depth and snow water equivalent: Overview. Advances in Earth Science, 33(6):590-605, doi: 10.11867/j.issn.1001-8166.2018.06.0590.
(2) Mu, C., Li, L., Zhang, F., Li, Y., Xiao, X., Zhao, Q. & Zhang, T., (2018). Impacts of permafrost on above- and belowground biomass on the northern Qinghai-Tibetan Plateau. Arctic, Antarctic, and Alpine Research, 50(1), e1447192, doi: 10.1080/15230430.2018.1447192.
2017
(1) Wang, Q.F., Jin, H.J., Zhang, T.J., Cao, B., Peng, X.Q., Wang, K., Xiao, X.X., Guo, H., Mu, C. & Li, L., (2017). Hydro-thermal processes and thermal offsets of peats soils in the active layer in the alpine permafrost region, NE Qinghai-Tibet plateau. Global and Planetary Change, 156:1-12, doi: 10.1016/j.gloplacha.2017.07.011.
