Soil Moisture Inversion Using AMSR-E Remote Sensing Data: An Artificial Neural Network Approach: Fid-Bau Portal

Soil Moisture Inversion Using AMSR-E Remote Sensing Data: An Artificial Neural Network Approach

Xie, X.M. / Xu, J.W. / Zhao, J.F. / Liu, S. / Wang, P.

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Soil Moisture Inversion Using AMSR-E Remote Sensing Data: An Artificial Neural Network Approach

Xie, X.M. / Xu, J.W. / Zhao, J.F. / Liu, S. / Wang, P.

Soil Moisture Inversion Using AMSR-E Remote Sensing Data: An Artificial Neural Network Approach

Xie, X.M. / Xu, J.W. / Zhao, J.F. / Liu, S. / Wang, P.

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Title:

Soil Moisture Inversion Using AMSR-E Remote Sensing Data: An Artificial Neural Network Approach

Contributors:

Xie, X.M. (author) / Xu, J.W. (author) / Zhao, J.F. (author) / Liu, S. (author) / Wang, P. (author) / Huang, Yong

Conference:

International conference; 3rd, Civil engineering and transportation; Advances in civil and structural engineering III: the 3rd international conference (ICCET 2013) ; 2013 ; Kunming, China

Published in:

Civil engineering and transportation; Advances in civil and structural engineering III: the 3rd international conference (ICCET 2013) ; 2073-2076

APPLIED MECHANICS AND MATERIALS ; 501/504

Publication date:

2014-01-01

Size:

4 pages

Remarks:

Includes bibliographical references and index. Advances in civil and structural engineering three. Part 4 of 4 Advances in civil and structural engineering 3. ICCET 2013.

ISBN:

3038350052 , 9783038350057

ISSN:

1660-9336

Type of media:

Conference paper

Type of material:

Language:

English

Keywords:

Civil engineering , Structural engineering , Transportation , ICCET