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Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

SONG Xiaodong ZHANG Ganlin LIU Feng LI Decheng ZHAO Yuguo YANG Jinling

干旱区科学2016,Vol.8Issue(5):734-748,15.
干旱区科学2016,Vol.8Issue(5):734-748,15.DOI:10.1007/s40333-016-0049-0

Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model

SONG Xiaodong 1ZHANG Ganlin 1LIU Feng 1LI Decheng 1ZHAO Yuguo 1YANG Jinling1

作者信息

  • 1. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
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摘要

关键词

soil moisture/soil moisture sensor network/macroscopic cellular automata (MCA)/deep belief network(DBN)/multi-layer perceptron (MLP)/uncertainty assessment/hydropedology

Key words

soil moisture/soil moisture sensor network/macroscopic cellular automata (MCA)/deep belief network(DBN)/multi-layer perceptron (MLP)/uncertainty assessment/hydropedology

引用本文复制引用

SONG Xiaodong,ZHANG Ganlin,LIU Feng,LI Decheng,ZHAO Yuguo,YANG Jinling..Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model[J].干旱区科学,2016,8(5):734-748,15.

基金项目

This study was supported by the National Natural Science Foundation of China (41130530,91325301,41401237,41571212,41371224),the Jiangsu Province Science Foundation for Youths (BK20141053) and the Field Frontier Program of the Institute of Soil Science,Chinese Academy of Sciences (ISSASIP1624). (41130530,91325301,41401237,41571212,41371224)

干旱区科学

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1674-6767

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