Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset. - Lawrence V. Stanislawski (Comput. Environ. Urban Syst., 2009)

Automated Centerline Delineation to Enrich the National Hydrography Dataset. - Chris Anderson-Tarver; Mike Gleason; Barbara Buttenfield; Larry Stanislawski (GIScience, 2012)

Partial polygon pruning of hydrographic features in automated generalization. - Alexander K. Stum; Barbara P. Buttenfield; Lawrence V. Stanislawski (Trans. GIS, 2017)

Channel cross-section analysis for automated stream head identification. - Ethan Shavers; Lawrence V. Stanislawski (Environ. Model. Softw., 2020)

Map Generalization for the Future: Editorial Comments on the Special Issue. - Barry J. Kronenfeld; Barbara P. Buttenfield; Lawrence V. Stanislawski (ISPRS Int. J. Geo Inf., 2020)

OpenCLC: An open-source software tool for similarity assessment of linear hydrographic features. - Ting Li; Lawrence V. Stanislawski; Tyler Brockmeyer; Shaowen Wang 001; Ethan Shavers (SoftwareX, 2020)

An attention U-Net model for detection of fine-scale hydrologic streamlines. - Zewei Xu; Shaowen Wang 001; Lawrence V. Stanislawski; Zhe Jiang 001; Nattapon Jaroenchai; Arpan Man Sainju; Ethan Shavers; E. Lynn Usery; Li Chen 025; Zhiyu Li; Bin Su (Environ. Model. Softw., 2021)

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling. - Lawrence V. Stanislawski; Ethan Shavers; Shaowen Wang 001; Zhe Jiang 001; E. Lynn Usery; Evan Moak; Alexander Duffy; Joel Schott (Remote. Sens., 2021)

GeoAI in the US Geological Survey for topographic mapping. - E. Lynn Usery; Samantha T. Arundel; Ethan Shavers; Lawrence V. Stanislawski; Philip Thiem; Dalia Varanka (Trans. GIS, 2022)

Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. - Zhe Jiang 001; Wenchong He; Marcus Stephen Kirby; Arpan Man Sainju; Shaowen Wang 001; Lawrence V. Stanislawski; Ethan Shavers; E. Lynn Usery (ACM Trans. Intell. Syst. Technol., 2022)

Transfer learning with convolutional neural networks for hydrological streamline delineation. - Nattapon Jaroenchai; Shaowen Wang 001; Lawrence V. Stanislawski; Ethan Shavers; Zhe Jiang 001; Vasit Sagan; E. Lynn Usery (Environ. Model. Softw., 2024)