Research Output per year
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.
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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. 1-14Research output: Contribution to journal › Article
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 journal › Article
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 journal › Article
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 journal › Article
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 proceeding › Conference 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
DOI: 10.13012/B2IDB-4137411_V1
Dataset
A 3DCNN-based method to land cover classification
Xu, Z. (Creator), Wang, S. (Creator), University of Illinois at Urbana-Champaign, Dec 13 2018
DOI: 10.13012/B2IDB-0024113_V1
Dataset
CyberGIS-Jupyter HAND Example Notebook
Yin, D. (Creator), Wang, S. (Creator), University of Illinois at Urbana-Champaign, Dec 13 2018
DOI: 10.13012/B2IDB-6316661_V2
Dataset