Crossmark

Spatial Prediction of the Groundwater Potential Using Remote Sensing Data and Bivariate Statistical-Based Artificial Intelligence Models

Published Online: 2022-09-16

Published Print: 2022-11

Authors

Ye, Yong https://orcid.org/0000-0003-3157-7278
Chen, Wei

Wang, Guirong

Xue, Weifeng
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (No. 41807192)

Natural Science Basic Research Program of Shaanxi (No. 2019JLM-7)
License Information

Text and Data Mining valid from 2022-09-16

Version of Record valid from 2022-09-16
More Information

Article History

Received: 27 May 2022

Accepted: 27 August 2022

First Online: 16 September 2022

Declarations

:

: No potential conflicts of interest were reported by the authors.

Document is current