SCI

Drought Risk Managment Laboratory 

Considering geographical spatiotemporal attributes for seamless air temperature data fusion with high accuracy

2024

Huang, T., Zhang, X., Terfa, B.K., Nam, W.H., Gu, X., Zeng, J., Zhang, X., Huang, S., Du, W., Wang, C., Yang, I.J., Wang, P., Wu, W., Chen, N., Niyogi, D.

Remote Sensing Applications: Society and Environment 33: 101135 (ISSN: 2352-9385) 

Huang, T., Zhang, X., Terfa, B.K., Nam, W.H., Gu, X., Zeng, J., Zhang, X., Huang, S., Du, W., Wang, C., Yang, I.J., Wang, P., Wu, W., Chen, N., Niyogi, D., 2024. Considering geographical spatiotemporal attributes for seamless air temperature data fusion with high accuracy. Remote Sensing Applications: Society and Environment 33: 101135, Jan. 2024. (ISSN: 2352-9385) DOI:10.1016/j.rsase.2023.101135

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2024-01-09 11:04
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4 
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Irrigation and Drainage 62 (S1): 63–74 (ISSN: 1531-0361) DOI : 10.1002/ird.1787
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2 
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1 
Nam, W.H., Choi, J.Y., Yoo, S.H., Engel, B.A. 
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