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Remote sensing and geostatistics in urban water-resource monitoring: a review

Zhixin Liu https://orcid.org/0000-0001-5530-3998 A , Jiayi Xu A , Mingzhe Liu https://orcid.org/0000-0001-7054-997X B * , Zhengtong Yin C , Xuan Liu D , Lirong Yin https://orcid.org/0000-0002-5022-610X E * and Wenfeng Zheng https://orcid.org/0000-0002-8486-1654 F *
+ Author Affiliations
- Author Affiliations

A School of Life Science, Shaoxing University, Shaoxing, Zhejiang, 312000, PR China.

B School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, 325000, PR China.

C College of Resource and Environment Engineering, Guizhou University, Guiyang, Guizhou, 550025, PR China.

D School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, 611731, PR China.

E Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA.

F School of Automation, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.


Handling Editor: Wan Zhanhong

Marine and Freshwater Research 74(10) 747-765 https://doi.org/10.1071/MF22167
Submitted: 23 August 2022  Accepted: 6 February 2023   Published: 14 March 2023



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