Ethan Shavers

According to our database, Ethan Shavers authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Transfer learning with convolutional neural networks for hydrological streamline delineation.

Nattapon Jaroenchai, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, Zhe Jiang, Vasit Sagan, E. Lynn Usery

Environ. Model. Softw., 2024

2022

Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels.

Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, E. Lynn Usery

ACM Trans. Intell. Syst. Technol., 2022

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

2021

Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling.

Lawrence V. Stanislawski, Ethan Shavers, Shaowen Wang, Zhe Jiang, E. Lynn Usery, Evan Moak, Alexander Duffy, Joel Schott

Remote. Sens., 2021

An attention U-Net model for detection of fine-scale hydrologic streamlines.

Zewei Xu, Shaowen Wang, Lawrence V. Stanislawski, Zhe Jiang, Nattapon Jaroenchai, Arpan Man Sainju, Ethan Shavers, E. Lynn Usery, Li Chen, Zhiyu Li, Bin Su

Environ. Model. Softw., 2021

2020

OpenCLC: An open-source software tool for similarity assessment of linear hydrographic features.

Ting Li, Lawrence V. Stanislawski, Tyler Brockmeyer, Shaowen Wang, Ethan Shavers

SoftwareX, 2020

Channel cross-section analysis for automated stream head identification.

Ethan Shavers, Lawrence V. Stanislawski

Environ. Model. Softw., 2020