Geography Assistant Professor Qiusheng Wu

Qiusheng Wu

Assistant Professor

Room: OJ-112 (map)

Phone: 607-777-3145


Personal Webpage:

Associate Editor of Wetlands, Springer 

Office Hours for Fall 2016: Mon. & Wed. 2: 00 pm - 3: 00 pm or by appointment


Education: PhD, University of Cincinnati, 2015

Teaching specialties:

  • GIS and Remote Sensing
  • Spatial Analysis
  • GIS Programming (Python, R, Javascript)
  • Global Climate Change
  • Physical Geography

Research interests:

  • Geographic Information Science (GIS)
  • Remote Sensing (multispectral, microwave, LiDAR)
  • Geospatial Big Data and Machine Learning
  • Environmental Change
  • Wetland Hydrology
  • Coastal Hazards
  • Drought Monitoring

Recent Publications:

  • Wu, Q., & Lane, C. (2017). Delineating wetland catchments and modeling hydrologic connectivity using LiDAR data and aerial imagery. Hydrol. Earth Syst. Sci. Discuss. DOI:10.5194/hess-2017-1
  • Wu, B., Yu, B., Wu, Q., Yao, S., Zhao, F., Mao, W., & Wu, J. (2017). A Graph-based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds. Remote Sensing. 9(1): 92. DOI: 10.3390/rs9010092
  • Wu, Q., Su, H., Sherman, D.J., Liu, H., Wozencraft, J.M., Yu, B., & Chen, Z. (2016). A graph-based approach for assessing storm-induced coastal changes. International Journal of Remote Sensing. 37:4854-4873. DOI: 10.1080/01431161.2016.1225180
  • Wu, B., Yu, B., Wu, Q., Huang, Y., Chen, Z., & Wu, J. (2016). Individual tree crown delineation using localized contour tree method and airborne LiDAR data. International Journal of Applied Earth Observation and Geoinformation. 52:82-94. DOI: 10.1016/j.jag.2016.06.003
  • Wu, Q., Deng, C., & Chen, Z. (2016). Automated delineation of karst sinkholes from LiDAR-derived digital elevation models. Geomorphology. 266, 1-10. DOI: 10.1016/j.geomorph.2016.05.006
  • Beck, R., Zhan, S., Liu, H., Tong, S., Others, & Wu, Q. (2016). Analysis of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense water truth. Remote Sensing of Environment. 178: 15-30. DOI: 10.1016/j.rse.2016.03.002
  • Wu, Q., & Lane, C. (2016). Delineation and quantification of wetland depressions in the Prairie Pothole Region of North Dakota. Wetlands36(2): 215-227. DOI: 10.1007/s13157-015-0731-6
  • Wu, B., Yu, B., Huang, C., Wu, Q., & Wu, J. (2016). Automated extraction of ground surface along urban roads from mobile laser scanning point clouds. Remote Sensing Letters. 7(2): 170-179. DOI: 10.1080/2150704X.2015.1117156 
  • Wu, Q., Liu, H., Wang, L., & Deng, C. (2016). Evaluation of AMSR2 L3 soil moisture products over the continental U.S. using in situ observations from International Soil Moisture Network. International Journal of Applied Earth Observation and GeoInformation. 45, Part B: 187-199DOI: 10.1016/j.jag.2015.10.011
  • Su, H., Liu, H., & Wu, Q. (2015) Prediction of Water Depth from Multi-Spectral Satellite Imagery - The Regression Kriging Alternative. IEEE Geoscience and Remote Sensing Letters. 12(12): 2511-2515. DOI: 10.1109/LGRS.2015.2489678 
  • Wu, Q., Liu, H., Wang, S., Yu, B., Beck, R., & Hinkel, K. (2015). A localized contour tree method for deriving geometric and topologic properties of complex surface depressions based on high resolution topographical data. International Journal of Geographical Information Science, 29:12, 2041-2060. DOI: 10.1080/13658816.2015.1038719
  • Lane, C., Liu, H., Autrey, B., Anenkhonov, O., Chepinoga, V., & Wu, Q. (2014). Improved Wetland Classification Using Eight-Band High Resolution Satellite Imagery and a Hybrid Approach. Remote Sensing. 2014; 6(12):12187-12216. DOI: 10.3390/rs61212187 
  • Wu, Q., Lane, C., & Liu, H. (2014). An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery. Remote Sensing2014; 6(11):11444-11467. DOI: 10.3390/rs61111444 

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Last Updated: 2/22/17