Fangzheng Lyu

According to our database, Fangzheng Lyu authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

A cyberGIS approach to exploring neighborhood-level social vulnerability for disaster risk management.

Su Yeon Han, Jeon-Young Kang, Fangzheng Lyu, Furqan Baig, Jinwoo Park, Danielle Smilovsky, Shaowen Wang

Trans. GIS, November, 2023

2022

An integrated cyberGIS and machine learning framework for fine-scale prediction of Urban Heat Island using satellite remote sensing and urban sensor network data.

Fangzheng Lyu, Shaohua Wang, Su Yeon Han, Charlie Catlett, Shaowen Wang

Urban Inform., 2022

A deep trajectory clustering method based on sequence-to-sequence autoencoder model.

Chao Wang, Fangzheng Lyu, Sensen Wu, Yuanyuan Wang, Liuchang Xu, Feng Zhang, Shaowen Wang, Yongheng Wang, Zhenhong Du

Trans. GIS, 2022

Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks.

Xu Chen, Shaohua Wang, Huilai Li, Fangzheng Lyu, Haojian Liang, Xueyan Zhang, Yang Zhong

ISPRS Int. J. Geo Inf., 2022

Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model.

Sensen Wu, Jin Qi, Zhen Yan, Fangzheng Lyu, Tao Lin, Yuanyuan Wang, Zhenhong Du

Int. J. Appl. Earth Obs. Geoinformation, 2022

CyberGIS for Scalable Remote Sensing Data Fusion.

Fangzheng Lyu, Zijun Yang, Zimo Xiao, Chunyuan Diao, Jinwoo Park, Shaowen Wang

Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

2021

A vector-based method for drainage network analysis based on LiDAR data.

Fangzheng Lyu, Zewei Xu, Xinlin Ma, Shaohua Wang, Zhiyu Li, Shaowen Wang

Comput. Geosci., 2021

2019

Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter.

Anand Padmanabhan, Dandong Yin, Fangzheng Lyu, Shaowen Wang

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case Study on SUMMA.

Fangzheng Lyu, Dandong Yin, Anand Padmanabhan, Youngdon Choi, Jonathan L. Goodall, Anthony M. Castronova, David Tarboton, Shaowen Wang

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019