Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network-Reference-Cited by-同舟云学术

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

Published:2017-11-09 Issue:21 Volume:44 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Fang Kuai¹^ORCID,Shen Chaopeng¹^ORCID,Kifer Daniel²,Yang Xiao²

Affiliation:

1. Department of Civil and Environmental Engineering Pennsylvania State University University Park PA USA

2. Department of Computer Science and Engineering Pennsylvania State University University Park PA USA

Funder

Office of Biological and Environmental Research of the U.S. Department of Energy

U.S. National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017GL075619

Reference36 articles.

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