中国科学院大学个人主页：https://people.ucas.edu.cn/~xwfan

研究领域及方向：土壤水热极端事件演变过程及其生态效应、土壤水分遥感及真实性检验

简历：

    范兴旺：男，1989年生，安徽无为人。2009年、2012年分别获得东南大学测绘工程学士、摄影测量与遥感硕士学位；2015年获得中国科学院大学（中国科学院南京地理与湖泊研究所）地图学与地理系统博士学位，同年留所参加工作。主要从事土壤水热极端事件演变过程及其生态效应、土壤水分遥感及真实性检验研究。发展了多源卫星遥感数据一致性校正的通用方法，基于观测–遥感–模式数据揭示了土壤水分干旱事件的多尺度生消过程，阐明了气候变化背景下土壤干旱和高温复合事件的相互作用机理。

    主持国家自然科学基金项目2项，参与重点研发计划和重点基金项目4项。发表第一作者论文18篇，其中SCI论文16篇（含一区Top SCI论文8篇），参与出版专著2部，担任数字水圈专业委员会委员。

代表性论著：

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] Fan, X., Liu, Y., Wu, G., Zhao, X. (2020). Compositing the minimum NDVI for daily water surface mapping. Remote Sensing, 12(4), 700.

[6] 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.    

[7] Fan, X., Liu, Y., Tao, J., Wang, Y., Zhou, H. (2018). MODIS detection of vegetation changes and investigation of causal factors in Poyang Lake basin, China for 2001-2015. Ecological Indicators, 91, 511–522.

[8] Fan, X., Liu, Y. (2018). Using a MODIS index to quantify MODIS-AVHRRs spectral differences in the visible band. Remote Sensing, 10(1), 61.

[9] Fan, X., Liu, Y. (2018). Intercalibrating the MODIS and AVHRR visible bands over homogeneous land surfaces. IEEE Geoscience and Remote Sensing Letters, 15(1), 83–87.

[10] 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.

[11] Fan, X., Liu, Y. (2017). A comparison of NDVI intercalibration methods. International Journal of Remote Sensing, 38(19), 5273–5290.

[12] 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.

[13] 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.

[14] Fan, X., Liu, Y. (2016). Exploiting Terra-Aqua MODIS relationship in the reflective solar bands for aerosol retrieval. Remote Sensing, 8(12), 996.

[15] Fan, X., Liu, Y., Tao, J., Weng, Y. (2015). Soil salinity retrieval from advanced multi-spectral sensor with partial least square regression. Remote Sensing, 7(1), 488–511.

[16] 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.

[17] 范兴旺, 刘元波. (2016). 利用共线方程的ALOS DEM制作误差分析, 遥感技术与应用, 30(4), 694–699.

[18] 范兴旺, 翁永玲, 胡伍生, 徐君民, 刘团荣. (2010). IRS-P5立体像对提取 DEM 及精度评价. 遥感技术与应用, 25(4), 547–551.