PERSONAL DETAILS

Name: Xingwang Fan

Position: Associate Professor, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences

Postal Address: 73 East Beijing Road, Nanjing 210008, China

Telephone: +86-25-86882167 (office)

Fax: +86-25-57714759

E-mail: xwfan@niglas.ac.cn

Education

Sep 2012 – Jun 2015: Doctor degree of Science in Geographic Information System, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences

Sep 2009 – Jun 2012: Master degree of Engineering in Photogrammetry and Remote Sensing, Southeast University, China

Sep 2005 – Jun 2009: Bachelor degree of Engineering in Surveying and Mapping Engineering, Southeast University, China

Employment

Jun 2021 -- : Associate Professor, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences

Jul 2015 - May 2021: Assistant Professor, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences

AREAS OF EXPERTISE

Remote sensing data intercalibration，Remote sensing of soil properties

SELECTED PUBLICATIONS

[1] 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. 

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

[3] 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. 

[4] 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. 

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

[6] 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. 

[7] 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. 

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

[9] 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. 

[10] 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. 

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

[12] 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. 

[13] 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.