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.
This webpage is designed for sharing materials prepared for my refereed journal publications. I try my best to make my research reproducible by publishing data, code, and tools. Please contact me if you have any questions.
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: 10.1080/13658816.2015.1038719Wang, S., Wu. Q.*, & Ward, D. (2017). Automated extraction 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
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
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 Analysis Using Level-Set Methods. Journal of the American Water Resources Association (under review)
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