个人简介

       胡学飞，中山大学测绘科学与技术学院副教授，硕士生导师。

       主要从事运用空间统计以及机器学习的方法建立多级估算模型并结合使用卫星遥感数据, 气象数据以及土里利用数据对空气中PM2.5浓度进行估算。

 

教育经历

2004.09-2009.12，印第安纳州立大学 博士

2000.09-2003.08，中国地质大学（北京）硕士

1996.09-2000.08，中国地质大学（武汉）本科

 

工作经历

2021.03-至今，中山大学测绘科学与技术学院 副教授

2017.09-2020.12，视觉软件公司 数据科学家

2010.05-2017.08，埃默里大学 博士后研究员

 

代表性论著

 

  1. Hu, X., J. H. Belle, X. Meng, A. Wildani, L. A. Waller, M. J. Strickland, and Y. Liu. 2017. Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach, Environmental Science & Technology, 51(12), 6936-6944.
  2. Hu, X., C. Yu, D. Tian, M. Ruminski, K. Robertson, L. A. Waller, and Y. Liu. 2016, Comparison of the Hazard Mapping System (HMS) fire product to ground-based fire records in Georgia, USA, Journal of Geophysical Research: Atmospheres, 121, 2901-2910.
  3. Hu X., Waller LA, Lyapustin A, Wang Y, Liu Y. 2014. Improving satellite-driven PM2.5 models with Moderate Resolution Imaging Spectroradiometer fire counts in the southeastern U.S. Journal of Geophysical Research: Atmospheres, 119(19), 11375-11386.
  4. Hu, X., Waller, L. A., Lyapustin, A., Wang, Y., and Liu, Y. 2014. 10-year spatial and temporal trends of PM2.5 concentrations in the southeastern US estimated using high-resolution satellite data, Atmospheric Chemistry and Physics, 14, 6301-6314.
  5. Hu, X., Lance, W., Lyapustin, A., Wang, Y., Al-Hamdan, M., Crosson, W., Estes Jr, M., Estes, S., Quattrochi, D., Puttaswamy, S., and Y. Liu. 2014. Estimating Ground-level PM2.5 Concentrations in the Southeastern U.S. using MAIAC AOD Retrievals and a Two-Stage Model. Remote Sensing of Environment, 140, 220-232.
  6. Hu, X., Lance, W., Al-Hamdan, M., Crosson, W., Estes Jr, M., Estes, S., Quattrochi, D., Sarnat, J., and Y. Liu. 2013. Estimating Ground-level PM2.5 concentrations in the Southeastern U.S. using Geographically Weighted Regression. Environmental Research, 121, 1-10.
  7. Hu, X. and Q. Weng. 2011. Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method. Geocarto International, 26(1), 3-20.
  8. Hu, X. and Q. Weng. 2011. Estimating Impervious Surfaces from Medium Spatial Resolution Imagery: A Comparison between Fuzzy Classification and LSMA. International Journal of Remote Sensing, 32(20): 5645-5663.
  9. Hu, X. and Q. Weng. 2010. Estimation of impervious surfaces of Beijing, China, with spectral normalized images using LSMA and ANN. Geocarto International. 25(3), 231-253.
  10. Hu, X. and Q. Weng. 2009. Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks. Remote Sensing of Environment, 113(10): 2089-2102.