Applying
satellite data products to assess environmental changes
·
Afforestation (Jia et al. 2015; Jiang and Liang 2013; Jiang et al.
2015);
·
Agricultural irrigation (Zhu et al. 2012; Zhu et al. 2011);
·
Forest disturbances (Chen et al. 2018; Zhang and Liang 2014a; Zhang and
Liang 2014b; Zhang et al. 2014);
·
Three Gorges Dam Project (Song et al. 2017);
·
Land cover changes over China (Zhang and Liang 2018)
·
Snow cover changes and radiative
forcing (Chen et al. 2016a; Chen et al. 2016b; Chen et al.
2015; Chen et al. 2017; Qin et al. 2009);
·
Arctic sea ice melting (Cao et al. 2015; Cao et al. 2017).
·
Radiation and energy budget over Tibetan
Plateau (Shi and Liang 2013a, b; Shi and Liang 2014);
·
TOA energy budget (Song et al. 2018; Wang and Liang 2016; Wang and Liang
2017).
·
Water cycle over three-North China (Xie et al. 2015; Yao et al. 2014);
·
Drought monitoring and assessment (Yao et al. 2010a; Yao et al. 2010b; Zhao et al. 2015).
·
Vegetation response to climatic change (Jiapaer et al. 2015; Wu et al. 2015);
·
Vegetation change and vulnerability
(Li et al. 2010; Li et al. 2012; Li et al. 2006)
Cao, Y., Liang, S., Chen, X., & He, T. (2015). Assessment of Sea Ice Albedo Radiative Forcing and Feedback over the Northern Hemisphere from 1982 to 2009 Using Satellite and Reanalysis Data. Journal of Climate, 28, 1248-1259
Cao, Y., Liang, S., Chen, X., He, T., Wang, D., & Cheng, X. (2017). Enhanced wintertime greenhouse effect reinforcing Arctic amplification and initial sea-ice melting. Scientific Reports, 7, 8462
Chen, D., Loboda, T.V., He, T., Zhang, Y., & Liang, S. (2018). Strong cooling induced by stand-replacing fires through albedo in Siberian larch forests. Scientific Reports, 8, 4821
Chen, X., Liang, S., & Cao, Y. (2016a). Satellite observed changes in the Northern Hemisphere snow cover phenology and the associated radiative forcing and feedback between 1982 and 2013. Environmental Research Letters, 11, 084002
Chen, X., Liang, S., Cao, Y., & He, T. (2016b). Distribution, attribution, and radiative forcing of snow cover changes over China from 1982 to 2013. Climatic Change, 137, 363-377
Chen, X., Liang, S., Cao, Y., He, T., & Wang, D. (2015). Observed contrast changes in snow cover phenology in northern middle and high latitudes from 2001–2014. Scientific Reports, 5, 16820
Chen, X., Long, D., Hong, Y., Liang, S., & Hou, A. (2017). Observed radiative cooling over the Tibetan Plateau for the past three decades driven by snow cover induced surface albedo anomaly. Journal of Geophysical Research: Atmospheres, 122, 6170-6185
Jia, K., Liang, S., Wei, X., Li, Q., Du, X., Jiang, B., Yao, Y., Zhao, X., & Li, Y. (2015). Fractional forest cover changes in Northeast China from 1982 to 2011 and its relationship with climatic variations. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 775-783
Jiang, B., & Liang, S. (2013). Improved vegetation greenness increases summer atmospheric water vapor over Northern China. Journal of Geophysical Research: Atmospheres, 118, 8129-8139
Jiang, B., Liang, S., & Yuan, W. (2015). Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger causality test. Journal of Geophysical Research: Biogeosciences, 120, 1–12, doi:10.1002/2014JG002741.
Jiapaer, G., Liang, S., Yi, Q.X., & Liu, J.P. (2015). Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator. Ecological Indicators, 58, 64-76
Li, A., Deng, W., Liang, S., & Huang, C. (2010). Investigation on the patterns of global vegetation change using a satellite-sensed vegetation index. Remote Sensing, 2, 1530-1548
Li, A., Liang, S., Wang, A., & Huang, C. (2012). Investigating the impacts of the North Atlantic Oscillation on global vegetation changes by a remotely sensed vegetation index. International Journal of Remote Sensing, 33, 7222-7239
Li, A., Wang, A., Liang, S., & Zhou, W. (2006). Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS—a case study in the upper reaches of Minjiang River, China. Ecological Modelling, 192, 175-187
Qin, J., Yang, K., Liang, S., & Guo, X.F. (2009). The altitudinal dependence of recent rapid warming over the Tibetan Plateau. Climatic Change, 97, 321-327
Shi, Q., & Liang, S. (2013a). Characterizing the surface radiation budget over the Tibetan Plateau with ground-measured, reanalysis, and remote sensing data sets: 1. Methodology. Journal of Geophysical Research: Atmospheres, 118, 9642-9657
Shi, Q., & Liang, S. (2013b). Characterizing the surface radiation budget over the Tibetan Plateau with ground-measured, reanalysis, and remote sensing data sets: 2. Spatiotemporal analysis. Journal of Geophysical Research: Atmospheres, 118, 8921-8934
Shi, Q., & Liang, S. (2014). Surface sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite data. Atmospheric Chemistry and Physics, 14, 5659-5677
Song, Z., Liang, S., Feng, L., He, T., Song, X.-P., & Zhang, L. (2017). Temperature changes in Three Gorges Reservoir Area and linkage with Three Gorges Project. Journal of Geophysical Research: Atmospheres, 122, 4866-4879
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
Wang, D., & Liang, S. (2016). Estimating high-resolution top of atmosphere albedo from Moderate Resolution Imaging Spectroradiometer data. Remote Sensing of Environment, 178, 93-103
Wang, D., & Liang, S. (2017). Estimating top-of-atmosphere daily reflected shortwave radiation flux over land from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 55, 4022 - 4031
Wu, D., Zhao, X., Liang, S., Zhou, T., Huang, K., Tang, B., & Zhao, W. (2015). Time-lag effects of global vegetation responses to climate change. Global Change Biology, 21, 3520-3531
Xie, X., Liang, S., Yao, Y., Jia, K., Meng, S., & Li, J. (2015). Detection and attribution of changes in hydrological cycle over the Three-North region of China: Climate change versus afforestation effect. Agricultural and Forest Meteorology, 203, 74-87
Yao, Y., Liang, S., Qin, Q., Wang, K., & Zhao, S. (2010a). Monitoring global land surface drought based on a hybrid evapotranspiration model. International Journal of Applied Earth Observation and Geoinformation, 12, S266-S776
Yao, Y., Liang, S., Xie, X., Cheng, J., Jia, K., Li, Y., & Liu, R. (2014). Estimation of the terrestrial water budget over northern China by merging multiple datasets. Journal of Hydrology, 519, Part A, 50-68
Yao, Y.J., Liang, S., Qin, Q.M., & Wang, K.C. (2010b). Monitoring Drought over the Conterminous United States Using MODIS and NCEP Reanalysis-2 Data. Journal of Applied Meteorology and Climatology, 49, 1665-1680
Zhang, Y., & Liang, S. (2014a). Changes in forest biomass and linkage to climate and forest disturbances over Northeastern China. Global Change Biology, 20, 2596-2606
Zhang, Y., & Liang, S. (2014b). Surface radiative forcing of forest disturbances over northeastern China Environmental Research Letters, 9, 024002,doi:024010.021088/021748-029326/024009/024002/024002
Zhang, Y., & Liang, S. (2018). Impacts of land cover transitions on surface temperature in China based on satellite observations. Environmental Research Letters, 13, 024010
Zhang, Y., Liang, S., & Sun, G. (2014). Mapping forest biomass with GLAS and MODIS data over Northeast China. IEEE Journal in Special Topics in Applied Earth Observations and Remote Sensing, 7, 140-152
Zhao, X., Wei, H., Liang, S., Zhou, T., He, B., Tang, B., & Wu, D. (2015). Responses of Natural Vegetation to Different Stages of Extreme Drought during 2009–2010 in Southwestern China. Remote Sensing, 7, 14039
Zhu, X.F., Liang, S., & Pan, Y.Z. (2012). Observational evidence of the cooling effect of agricultural irrigation in Jilin, China. Climatic Change, 114, 799-811
Zhu, X.F., Liang, S., Pan, Y.Z., & Zhang, X.T. (2011). Agricultural Irrigation Impacts on Land Surface Characteristics Detected From Satellite Data Products in Jilin Province, China. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4, 721-729