Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau-Reference-Cited by-同舟云学术

Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau

Published:2016-12 Issue: Volume:543 Page:242-254
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Cui Yaokui,Long Di,Hong Yang,Zeng Chao,Zhou Jie,Han Zhongying,Liu Ronghua,Wan Wei

Funder

National Natural Science Foundation of China

foundation of the State Key Laboratory of Hydroscience and Engineering of Tsinghua University

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference47 articles.

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4. Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau;Chen;J. Geophys. Res.: Atmos.,2013

5. Comparison of neural network methods for infilling missing daily weather records;Coulibaly;J. Hydrol.,2007

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