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地球科学进展  2015, Vol. 30 Issue (6): 668-679    DOI: 10.11867/j.issn.1001-8166.2015.06.0668
兰鑫宇, 郭子祺, 田野, 雷霞, 王婕
中国科学院遥感与数字地球研究所,北京 100101
Review in Soil Moisture Remote Sensing Estimation Based on Data Assimilation
Lan Xinyu, Guo Ziqi, Tian Ye, Lei Xia, Wang Jie
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
 全文: PDF(1373 KB)  


关键词: 陆面过程模型数据同化遥感数据集土壤湿度    

Soil moisture is one of the critical variables that affect climate. Retrieving large-scale and high-precision soil moisture data with data assimilation technology is an important issue to study soil moisture. Combining with research status at home and abroad in estimating soil moisture, we sum up the major application process of assimilation algorithm in soil moisture, introduce the widely used land surface model which can retrieve the soil moisture, Noah, Common Land Model (CLM), Simple Biosphere Model (SiB2), North productivity simulation model (BEPS), introduce a wide range of soil moisture satellite data sets including the land surface data assimilation system data sets, ASCAT data sets, AMSR-E data sets and SMOS data sets, and finally discuss the problems and development direction of soil moisture in the process of assimilation.

Key words: Data assimilation    Land surface process model    Soil moisture    Remote sensing data sets.
出版日期: 2015-06-25
:  P934  


通讯作者: 郭子祺(1963-),男,陕西西安人,研究员,主要从事环境遥感研究.     E-mail:
作者简介: 兰鑫宇(1991-),女,黑龙江海伦人,硕士研究生,主要从事土壤水分同化研究.
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兰鑫宇, 郭子祺, 田野, 雷霞, 王婕. 土壤湿度遥感估算同化研究综述[J]. 地球科学进展, 2015, 30(6): 668-679.

Lan Xinyu, Guo Ziqi, Tian Ye, Lei Xia, Wang Jie. Review in Soil Moisture Remote Sensing Estimation Based on Data Assimilation. Advances in Earth Science, 2015, 30(6): 668-679.


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