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地球科学进展
综述与评述     
卫星遥感反演土壤水分研究综述
陈书林1,2,刘元波2*,温作民1
1.南京林业大学经济管理学院,江苏 南京 210037;2.中国科学院南京地理与湖泊研究所,江苏 南京 210008
Satellite Retrieval of Soil Moisture: An Overview
Chen Shulin1,2, Liu Yuanbo2, Wen Zuomin1
1.College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China;2. Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China
 全文: PDF(1047 KB)  
摘要:

土壤水分是影响地表过程的核心变量之一。精准地测量土壤水分及其时空分布,长期以来是定量遥感研究领域的难点问题。简要回顾基于光学、被动微波、主动微波和多传感器联合反演等卫星遥感反演土壤水分的主要反演算法、存在的难点和前沿性研究问题,介绍了应用土壤水分反演算法所形成的3种主要全球土壤水分数据集,包括欧洲气象业务卫星(ERS/ MetOp)数据集、高级微波扫描辐射计(AMSR-E)数据集、土壤湿度与海洋盐分卫星(SMOS)数据集,并结合目前存在的问题探讨卫星遥感反演土壤水分研究的发展趋势。

关键词: 土壤水分反演算法光学遥感微波遥感多传感器联合反演全球数据集    
Abstract:

Soil moisture is a key variable influencing a variety of land surface processes. Accurate estimation of spatio-temporally distributed soil moisture is one of the challenging issues in quantitative remote sensing. This paper briefly describes the major algorithms for retrieving soil moisture using optical, passive-microwave and active-microwave remote sensing, or their combinations. The optical algorithms have relatively low accuracy of retrieval, but good spatial and temporal resolutions. The typical algorithms include the Index-based approach and the soil thermal inertia-based approach. The passive-microwave algorithms have relative high accuracy but low spatial resolutions. It can be grouped into the retrieval approaches for soil moisture only and the approaches for relevant parameters in addition to soil moisture. The active-microwave algorithms have generally high accuracy with a high spatial resolution. The algorithms can be divided into three classes: empirical, physical and semi-empirical approaches. In addition, a number of algorithms have been proposed, which combines in particular optical, passivemicrowave, or active-microwave data. Because the algorithms often combine the advantages of the multi-sensors, they can achieve a high accuracy with a good spatial resolution. With the achievement of retrieval techniques, several global soil moisture data sets have been generated. The widely used data sets include the European Remote Sensing satellites/ Meteorological Operational satellite programme (ERS/MetOp) data sets, the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) data sets, and the Soil Moisture and Ocean Salinity (SMOS) data sets. The ERS/MetOp data sets provides global soil moisture data with a spatial resolution of 25-km so far since July, 1991, retrieved from the TU-Wien approach using C-band microwave data. The AMSR-E data sets provides global soil moisture data with a spatial resolution of 25-km for the period from June, 2002 to September, 2011, retrieved from the Land Parameter Retrieval Model (LPRM) using C-band and X-band microwave data. The SMOS data sets provides global soil moisture data with a spatial resolution of 40-km so far since November, 2009, retrieved from the L-band Microwave Emission of the Biosphere model (LMEB) using L-band microwave data. To improve retrieval accuracy of soil moisture, the new satellite sensors are scheduled to be launched into space, for example, the Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR2) in 2013 and the Soil Moisture Active Passive (SMAP) in 2014.

Key words: Soil moisture retrieval algorithm    Optical remote sensing    Microwave remote sensing    Multisensor based retrieval    Global soil moisture data sets
收稿日期: 2012-05-09 出版日期: 2012-11-10
:  TP751.1  
基金资助:

国家重点基础研究发展计划项目“长江中游通江湖泊江湖关系演变及环境生态效应与调控”(编号:2012CB417003);国家引进国际先进农业科学技术计划项目“森林生态系统适应性管理模式与技术标准引进”(编号:2009-4-44);南京林业大学科技创新基金项目“基于遥感的森林植被水文效应监测模型研究”(编号:163060077)资助.

通讯作者: 刘元波(1969-),男,山东济宁人,研究员,主要从事水文遥感研究.E-mail:ybliu@niglas.ac.cn     E-mail: ybliu@niglas.ac.cn
作者简介: 陈书林(1981-),男,江苏泰兴人,讲师,主要从事土壤水分遥感反演研究.E-mail:chenshulin0923@163.com
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陈书林,刘元波,温作民. 卫星遥感反演土壤水分研究综述[J]. 地球科学进展, 10.11867/j.issn.1001-8166.2012.11.1192.

Chen Shulin, Liu Yuanbo, Wen Zuomin. Satellite Retrieval of Soil Moisture: An Overview. Advances in Earth Science, 10.11867/j.issn.1001-8166.2012.11.1192.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2012.11.1192        http://www.adearth.ac.cn/CN/Y2012/V27/I11/1192

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