[1] Bai, W., Guo, R.*, Batunacun, Ma, J., Qiu, S., & Fan, X.* (2026). Persistent and intensifying heat extremes in global deeper soils. Environmental Research Letters, 21, 21 044014. DOI: 10.1088/1748-9326/ae4410
[2] Li, Z., Zhao, X.*, Fan, X.*, Lu, Y., Zhao, L., & Wu, A. (2025). Diminishing cooling effects of China’s largest freshwater lake due to shrinking water surfaces. Ecological Indicators, 178, 114097. DOI: 10.1016/j.ecolind.2025.114097
[3] Fan, X., Zhang, Y., Shi, K., Peng, J., Liu, Y., Zhou, Y., Liu, Y., Zhu, Q., Song, C., Wan, R., Zhao, X., & Woolway, R. I. (2024). Surging compound drought–heatwaves underrated in global soils. Proceedings of the National Academy of Sciences, 121(42), e2410294121. DOI: 10.1073/pnas.2410294121
[4] Fan, X., Zhao, X., Liu, Y., Guo, R., & Liu, Y. (2022). Soil salinity dynamics impairs radiometer-based soil moisture retrieval over global cropland. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-9. DOI: 10.1109/TGRS.2022.3181586
[5] Fan, X., Zhao, X., Pan, X., Liu, Y., & Liu, Y. (2022). Investigating multiple causes of time-varying SMAP soil moisture biases based on core validation sites data. Journal of Hydrology, 612, 128151. DOI: 10.1016/j.jhydrol.2022.128151
[6] Fan, X., Lu, Y., Liu, Y., Li, T., Xun, S., & Zhao, X. (2022). Validation of multiple soil moisture products over an intensive agricultural region: Overall accuracy and diverse responses to precipitation and irrigation events. Remote Sensing, 14(14), 3339. DOI: 10.3390/rs14143339
[7] Fan, X., Liu, Y., Gan, G., & Wu, G. (2020). SMAP underestimates soil moisture in vegetation-disturbed areas primarily as a result of biased surface temperature data. Remote Sensing of Environment, 247, 111914. DOI: 10.1016/j.rse.2020.111914
[8] Fan, X., & Liu, Y. (2018). Multisensor normalized difference vegetation index intercalibration: A comprehensive overview of the causes of and solutions for multisensor differences. IEEE Geoscience and Remote Sensing Magazine, 6(4), 23-45. DOI: 10.1109/MGRS.2018.2859814
[9] Fan, X., & Liu, Y. (2017). A generalized model for intersensor NDVI calibration and its comparison with regression approaches. IEEE Transactions on Geoscience and Remote Sensing, 55(3), 1842-1852. DOI: 10.1109/TGRS.2016.2635802
[10] Fan, X., & Liu, Y. (2016). A global study of NDVI difference among moderate-resolution satellite sensors. ISPRS Journal of Photogrammetry and Remote Sensing, 121, 177-191. DOI: 10.1016/j.isprsjprs.2016.09.008
[11] Fan, X., Weng, Y., & Tao, J. (2016). Towards decadal soil salinity mapping using Landsat time series data. International Journal of Applied Earth Observation and Geoinformation, 52, 32-41. DOI: 10.1016/j.jag.2016.05.009
[12] Fan, X., & Liu, Y. (2014). Quantifying the relationship between intersensor images in solar reflective bands: Implications for intercalibration. IEEE Transactions on Geoscience and Remote Sensing, 52(12), 7727-7737. DOI: 10.1109/TGRS.2014.2317751
