Ph.D. Texas A&M University, 2006
SU, H., LIU, H., WANG, L., FILIPPI, A. M., D., H. W., and A., B. R., 2014, Geographically Adaptive Inversion Model for Improving Bathymetric Retrieval From Satellite Multispectral Imagery. Geoscience and Remote Sensing, IEEE Transactions on, 52, pp. 465-476.
WANG, L., BIRT, A., LAFON, C. W., CAIRNS, D., COULSON, R. N., TCHAKERIAN, M., XI, W., POPESCU, S., and GULDIN, J. M., 2013, Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey. GeoInformatica, 17, pp. 35-61
WANG, L., and YU, J., 2012, Modelling detention basins measured from high-resolution light detection and ranging data. Hydrological Processes, 26, pp. 2973-2984
TANG*, Q., and WANG, L., 2012, Urban land-use, land-cover classification through watershed segmentation in the V–I–S feature space. Remote Sensing Letters, 3, pp. 677-685
*JOSEPH, M., WANG, L., and WANG, F., 2012, Using Landsat ETM Imagery for Population Estimation in Port-au-Prince, Haiti. GIScience & Remote Sensing, 49, pp. 228-250
WANG, L., 2011, Deriving Spatially Varying Threshold for Real-time Snowmelt Detection from Space-borne Passive Microwave Observations. Remote Sensing Letters, 3, pp. 305-313.
LIU, H., WANG, L., SHERMAN, D. J., WU, Q., and SU, H., 2011, Object-based Algorithms and Software Tools for Extracting Shoreline Features from Remote Sensing. Journal of Geographic Information System, 3, pp. 99-119.
LIU, H., WANG, L., SHERMAN, D., GAO, Y., and 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, pp. 1015-1041.
Wang, L. and H. Liu, “Identification and filling of surface depressions in digital
elevation models for hydrological modeling,” International Journal of Geographical
Information Science, Vol. 20, No. 2, February 2006, 193-213.
*publication with graduate students
Introduction to Geographic Information Systems
Environment Remote Sensing
Advanced Geographic Information Systems
Advanced Remote Sensing Seminar