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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Geographic information systems Engineering & Materials Science
Grid computing Engineering & Materials Science
modeling Earth & Environmental Sciences
Supercomputers Engineering & Materials Science
Information science Engineering & Materials Science
Middleware Engineering & Materials Science
Parallel processing systems Engineering & Materials Science
Visualization Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2003 2020

Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing

Cai, Y., Guan, K., Nafziger, E., Chowdhary, G., Peng, B., Jin, Z., Wang, S. & Wang, S., Jan 6 2020, (Accepted/In press) In : IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. p. 1-14

Research output: Contribution to journalArticle

Open Access
Crops
aircraft
maize
Aircraft
Nitrogen

ESCIP: An Expansion-Based Spatial Clustering Method for Inhomogeneous Point Processes

Li, T., Gao, Y. & Wang, S., Jan 2 2020, In : Annals of the American Association of Geographers. 110, 1, p. 259-276 18 p.

Research output: Contribution to journalArticle

spatial analysis
spatial data
statistics
indexing
flexibility

A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management

Zhang, Z., Hu, H., Yin, D., Kashem, M. S. B., Li, R., Cai, H., Perkins, D. & Wang, S., Nov 2 2019, In : International Journal of Digital Earth. 12, 11, p. 1364-1381 18 p.

Research output: Contribution to journalArticle

decision support system
Decision support systems
Decision making
decision making
decision analysis

A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

Jiang, H., Hu, H., Zhong, R., Xu, J., Xu, J., Huang, J., Wang, S., Ying, Y. & Lin, T., Jan 1 2019, (Accepted/In press) In : Global change biology.

Research output: Contribution to journalArticle

Crops
learning
maize
phenology
Remote sensing

Bridging local cyberinfrastructure and XseDE with CyberGIS-Jupyter

Padmanabhan, A., Yin, D., Lyu, F. & Wang, S., Jul 28 2019, Proceedings of the Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019. Association for Computing Machinery, 3333257. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Datasets

Dataset for: Quantifying the geographic distribution of building coverage across the US for urban sustainability studies

Soliman, A. S. (Creator), Mackay, A. (Creator), Schmidt, A. R. (Creator), Allan, B. F. (Creator), Wang, S. (Creator), University of Illinois at Urbana-Champaign, Jun 5 2018

Dataset

A 3DCNN-based method to land cover classification

Xu, Z. (Creator), Wang, S. (Creator), University of Illinois at Urbana-Champaign, Dec 13 2018

Dataset

CyberGIS-Jupyter HAND Example Notebook

Yin, D. (Creator), Wang, S. (Creator), University of Illinois at Urbana-Champaign, Dec 13 2018

Dataset