Geospatial Science
The Science of Where

The science that investigates the 'where' and 'why' of various human and natural phenomena!
As geographers, we discover deeper insights, make better decisions, and take them to action.

Tell Me More

About Me

Qiusheng Wu, PhD

Assistant Professor
Binghamton University (SUNY)

I am an Assistant Professor in the Department of Geography at Binghamton University, State University of New York ( 纽约州立大学-宾汉姆顿). My research interests focus on Geographic Information Science (GIS), remote sensing, and environmental modeling. More specifically, I am interested in applying geospatial big data, machine learning, and cloud computing (e.g., Google Earth Engine, Microsoft Azure) to study global environmental change, especially wetland and surface water dynamics. I am a big fan of open-source GIS. I have created various open-source packages for advanced geospatial analysis, such as lidar, whitebox, Wetland Hydrology Analyst. Check out my research and blog for more information about what I am currently working on.

Academic Profiles:
Google Scholar | ResearchGate | ORCID | Publons | GitHub | Blog

Education:
• 2015   Ph.D. in Geography. University of Cincinnati, Cincinnati, USA
• 2011   M.A. in Geography. University of Cincinnati, Cincinnati, USA
• 2007   B.S. (with high honor) in GIS. Sun Yat-sen University, Guangzhou, China

Appointments:
• 08/2018-present   Graduate Director, Department of Geography, Binghamton University (SUNY)
• 08/2015-present   Assistant Professor, Department of Geography, Binghamton University (SUNY)
• 02/2014-07/2015   Remote Sensing Specialist, U.S. Environmental Protection Agency (EPA)

Editorships:
• 11/2018-present   Associate Editor, Remote Sensing, MDPI
• 01/2016-present   Associate Editor, Wetlands, Springer
• 06/2016-present   Editor, Cogent Geoscience, Taylor & Francis

Open-source Geospatial Packages/Apps:
• Python Packages: lidar | whitebox | wetland | pygis | python-geospatial
• Google Earth Engine: Wetland Inundation Mapping | Earth Engine Apps
• ArcGIS Toolboxes: Depression Identification Analyst | Wetland Hydrology Analyst | Drumlin Extraction Toolbox | Level-Set Toolbox

Research

Geospatial Science: the science that investigates the 'where' and 'why' of various human and natural phenomena!
As geographers, we discover deeper insights, make better decisions, and take them to action.

GIScience

Spatial Analysis, Geostatistics, WebGIS, GIS Programming, Python, R

Remote Sensing

LiDAR, Microwave, Big Data, Deep Learning, Google Earth Engine, Azure

Environmental Modeling

Hydrological Modeling, Wetland Hydrology, Spatiotemporal Analytics

Software Tools

Open-source packages for geospatial and hydrological analysis

Tutorials, Maps, and Data

Various tutorials, maps, and datasets for reproducible research

Google Slides Show

Demos of my research projects and refereed publications

Publications

Google Scholar Citations: 420; h-index: 14; i10-index: 16 (as of November 2018)

  1. Wu, Q., Lane, C.R., Wang, L., Vanderhoof, M.K., Christensen, J.R., & Liu, H. (2018). Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analyses using level-set method. Journal of the American Water Resources Association. 1-15. DOI: 10.1111/1752-1688.12689
  2. Beck, R., Xu, M., Zhan, S., Johansen, R., et al., & Wu, Q. (2018). Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations. Journal of Great Lakes Research. DOI: 10.1016/j.jglr.2018.09.001
  3. Yu, B., Tang, M., Wu, Q., Yang, C., Deng, S., Shi, K., Peng, C., Wu, J., & Chen, Z. (2018). Urban Built-up Area Extraction from Logarithm Transformed NPP-VIIRS Nighttime Light Composite Data. IEEE Geoscience and Remote Sensing Letters. 15(8): 1279-1283. DOI: 10.1109/LGRS.2018.2830797
  4. Berhane, T.M., Lane, C.R., Wu, Q., Autrey, B.C., Anenkhonov, O., Chepinoga, V., & Liu, H. (2018). Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory. Remote Sensing. 10(4): 580. DOI: 10.3390/rs10040580
  5. Wu, Q. (2018). GIS and Remote Sensing Applications in Wetland Mapping and Monitoring. In: Huang, B. (Ed.), Comprehensive Geographic Information Systems, Vol. 2, pp. 140–157. Oxford: Elsevier. DOI: 10.1016/B978-0-12-409548-9.10460-9
  6. Berhane, T.M., Lane, C.R., Wu, Q., Anenkhonov, O., Chepinoga, V., Autrey, B.C., & Liu, H. (2018). Comparing pixel- and object-based approaches in effectively classifying wetland-dominated landscapes. Remote Sensing. 10(1): 46. DOI: 10.3390/rs10010046
  7. Wu, B., Yu, B., Wu, Q., Chen, Z., Yao, S., Huang, Y., & Wu, J. (2018). An extended minimum spanning tree method for characterizing local urban patterns. International Journal of Geographical Information Science. 32(3): 450-475. DOI: 10.1080/13658816.2017.1384830
  8. Ye, Z., Liu, H., Chen, Y., Shu, S., Wu, Q., & Wang, S. (2017). Analysis of water level variation of lakes and reservoirs in Xinjiang, China using ICESat laser altimetry data (2003-2009). PLoS ONE. 12(9): e0183800. DOI: 10.1371/journal.pone.0183800
  9. Wu, Q., & Lane, C.R. (2017). Delineating wetland catchments and modeling hydrologic connectivity using LiDAR data and aerial imagery. Hydrology and Earth System Sciences. 21: 3579-3595. DOI: 10.5194/hess-21-3579-2017
  10. Jia, Y., Huang, Y., Yu, B., Wu, Q., Yu, S., Wu, J.H., & Wu, J.P. (2017). Downscaling Land Surface Temperature by Fusing Suomi NPP-VIIRS and Landsat-8 TIR Data. Remote Sensing Letters. 8(12): 1132-1141. DOI: 10.1080/2150704X.2017.1362125
  11. Chen, Z., Yu, B., Song, W., Liu, H., Wu, Q., Shi, K., & Wu, J. (2017). A New Approach for Detecting Urban Centers and Their Spatial Structure with Nighttime Light Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 55(11): 6305-6319. DOI: 10.1109/TGRS.2017.2725917
  12. Wang, S., Wu, Q.*, & Ward, D. (2017). Automated delineation and characterization of drumlins using a localized contour-tree approach. International Journal of Applied Earth Observation and Geoinformation. 62: 144-156. DOI: 10.1016/j.jag.2017.06.006
  13. Beck, R., Xu, M., Zhan, S., Liu, H., et al., & Wu, Q. (2017). Comparison of Satellite Reflectance Algorithms for Estimating Phycocyanin Concentrations and Cyanobacterial Total Biovolume in a Temperate Reservoir Using Coincident Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations. Remote Sensing. 9(6): 538. DOI: 10.3390/rs9060538
  14. 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
  15. 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
  16. 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
  17. 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
  18. Beck, R., Zhan, S., Liu, H., Tong, S., et al., & 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
  19. Wu, Q., & Lane, C.R. (2016). Delineation and quantification of wetland depressions in the Prairie Pothole Region of North Dakota. Wetlands. 36(2): 215-227. DOI: 10.1007/s13157-015-0731-6
  20. 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
  21. 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: 187-199. DOI: 10.1016/j.jag.2015.10.011 
  22. 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
  23. 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
  24. Wu, Q., Lane, C.R., & Liu, H. (2014). An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery. Remote Sensing. 6(11):11444-11467. DOI: 10.3390/rs61111444
  25. Lane, C.R., 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. 6(12):12187-12216. DOI: 10.3390/rs61212187
  26. Townsend-Small, A., Pataki, D.E., Liu, H., Li, Z., Wu, Q., & Thomas, B. (2013). Increasing summer river discharge in southern California, USA, linked to urbanization. Geophysical Research Letters, 40, 4643-4647. DOI: 10.1002/grl.50921
  27. Beck, R.A., Hinkel, K.M., Eisner, et al., & Wu, Q. (2013). Contrasting Historical and Recent Breakup Styles on the Meade River of Arctic Alaska in the Context of a Warming Climate. American Journal of Climate Change, 2, 165-172. DOI: 10.4236/ajcc.2013.22016 
  28. Liu, H., Wang, L., Sherman, D.J., Wu, Q., & Su, H. (2011). Algorithmic Foundation and Software Tools for Extracting Shoreline Features from Remote Sensing Imagery and LiDAR Data. Journal of Geographic Information System, 3, 99-119. DOI: 10.4236/jgis.2011.32007 
  29. Liu, H., Wang, L., Sherman, D., Gao, Y., & Wu, Q. (2010). An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes. International Journal of Geographical Information Science, 24, 1015-1041. DOI: 10.1080/13658810903270569

Awards and Honors

Teaching

Courses I have taught: GEOG 533, GEOG 503A, GEOG 221, GEOG 121. Courses I am developing: GEOG 550, GEOG 566

Web GIS

GEOG 550

Professional Services

I have reviewed 130+ times for 30+ journals since 2015. I won the Sentinel of Science Award (2016) and Top 1% of Peer Reviewers in Multidisciplinary (2017). Check out my verified peer review record at Publons.

Wetlands

Associate Editor

Remote Sensing

Editorial Board Member

Graduate Students

Find out more information about the application guideline from our Graduate School and the Geography Department.

Graduate Program

Brochure Page 1 (PDF)

Graduate Porgram

Brochure Page 2 (PDF)

Contact Me

Qiusheng Wu, Ph.D.
Assistant Professor
Department of Geography
Binghamton University
State University of New York
Binghamton, NY 13902-6000
Email: wqs@binghamton.edu
Web: http://wetlands.io
Blog: http://lidarblog.com
Phone: 607-777-3145
Fax: 607-777-6456
Office: OJ-112
Location: Google Map

I look forward to hearing from you