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[1]郑有飞,黄图南,段长春,等.微波遥感土壤湿度反演算法及产品研究进展[J].江苏农业科学,2017,45(05):1-7.
　Zheng Youfei,et al.Advances in research on retrieval algorithm and product for soil moisture by microwave remote sensing[J].Jiangsu Agricultural Sciences,2017,45(05):1-7.
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微波遥感土壤湿度反演算法及产品研究进展(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第45卷
期数:
2017年05期
页码:
1-7
栏目:
专论与综述
出版日期:
2017-03-05

文章信息/Info

Title:
Advances in research on retrieval algorithm and product for soil moisture by microwave remote sensing
作者:
郑有飞1; 2; 黄图南2; 段长春3; 尹继福2; 吴荣军1
1.南京信息工程大学/江苏省大气环境监测与污染控制高技术研究重点实验室，江苏南京 210044；
2.南京信息工程大学中国气象局气溶胶与云降水重点开放实验室，江苏南京 210044； 3.云南省气象科学研究所，云南昆明 650034
Author(s):
Zheng Youfei; et al
关键词:
土壤湿度; 反演算法; 主动遥感; 被动遥感; 亮度温度
Keywords:
-
分类号:
S152.7+1；S127
DOI:
-
文献标志码:
A
摘要:
在地球系统中，土壤湿度是控制陆气间水分、能量和碳交换过程中的一个重要变量，也是监控土地状况如土地退化、干旱的重要指标之一。土壤湿度数据的及时、准确获取对研究全球气候问题、构建流域水文模型、监测农作物生长等科学研究都具有极其重要的意义。微波遥感具有全天候全天时的物理机制，使得通过遥感手段观测土壤湿度较传统的地表站点观测在空间尺度上具有较大优势。简要介绍了微波遥感反演土壤湿度的主要原理，并回顾了被动微波、主动微波以及被动和主动微波联合反演土壤湿度典型反演算法，这些方法大部分是围绕土壤湿度与亮度温度之间的关系进行的，同时考虑其他各种不同因子对于地表微波辐射的影响。另外，对欧洲气象业务卫星(european remote sensing satellites/meteorological operational satellite program，ERS/MetOp)、高级微波扫描辐射计(advanced microwave scanning radiometer for EOS，AMSR-E)、土壤湿度与海洋盐分卫星(soil moisture and ocean salinity，SMOS)3种全球土壤湿度数据集的状况和应用情况进行介绍。通过对前人研究成果的总结，结合当前的问题展望未来卫星遥感反演土壤湿度的发展趋势。
Abstract:
-

参考文献/References:

［1］Seneviratne S I，Corti T，Davin E L，et al. Investigating soil moisture-climate interactions in a changing climate：a review［J］. Earth-Science Reviews，2010，99(3/4)：125-161.
［2］陈斌，丁裕国，刘晶淼. 土壤湿度的一种统计预报模型初步试验［J］. 气象科学，2005，25(3)：231-237.
［3］莫保儒，王子婷，蔡国军，等. 半干旱黄土区成熟柠条林地剖面土壤湿度环境及影响因子研究［J］. 干旱区地理，2014，37(6)：1207-1215.
［4］张雷明，上官周平. 黄土高原土壤水分与植被生产力的关系［J］. 干旱区研究，2002，19(4)：59-63.
［5］张滢，丁建丽，周鹏. 干旱区土壤水分微波遥感反演算法综述［J］. 干旱区地理，2011，34(4)：671-678.
［6］张志富. 自动站土壤水分资料质量控制方案的研制［J］. 干旱区地理，2013，36(1)：101-108.
［7］Chang A T C，Atwater S G，Salomonson V V，et al. L-band radar sensing of soil moisture［J］. IEEE Transactions on Geoscience and Remote Sensing，1980(4)：303-310.
［8］Price J C. On the analysis of thermal infrared imagery：the limited utility of apparent thermal inertia［J］. Remote Sensing of Environment，1985，18(1)：59-73.
［9］Choudhury B J，Golus R E. Estimating soil wetness using satellite data［J］. International Journal of Remote Sensing，1988，9(7)：1251-1257.
［10］Jackson T J，le Vine D M，Hsu A Y，et al.Soil moisture mapping at regional scales using microwave radiometry：the southern great plains hydrology experiment［J］. IEEE Transactions on Geoscience and Remote Sensing，1999，37(5)：2136-2151.
［11］Paloscia S，Macelloni G，Santi E，et al.A multifrequency algotithm for the retrieval of soil moisture on a large scale using microwave data from SMMR and SSM/I satellites［J］. IEEE Transactions on Geoscience and Remote Sensing，2001，39(8)：1655-1661.
［12］Njoku E G，Jackson T J，Lakshmi V，et al.Soil moisture retrieval from AMSR-E［J］. IEEE Transactions on Geoscience and Remote Sensing，2003，41(2)：215-229.
［13］Li L，Gaiser P W，Gao B C，et al. WindSat global soil moisture retrieval and validation［J］. IEEE Transactions on Geoscience and Remote Sensing，2010，48(5)：2224-2241.
［14］Liu Y Y，Parinussa R M，Dorigo W A，et al. Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals［J］. Hydrology & Earth System Sciences，2011，15(2)：425-436.
［15］Wolfgang W，Klaus S，Carsten P，et al. Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data［J］. Journal of Geophysical Research(Atmospheres)，2003，108(D19)：1675-1702.
［16］Owe M，de Jeu R，Holmes T. Multisensor historical climatology of satellite-derived global land surface moisture［J］. Journal of Geophysical Research Earth Surface，2008，113(F1)：196-199.
［17］Koster R D，Guo Z C，Yang R Q，et al. On the nature of soil moisture in land surface models［J］. Journal of Climate，2009，22(16)：4322-4335
［18］Parrens M，Mahfouf J F，Barbu A L，et al. Assimilation of surface soil moisture into a multilayer soil model：design and evaluation at local scale［J］. Hydrology & Earth System Sciences，2014，18(2)：673-689.
［19］Zhan X，Zheng W，Meng J，et al. Impact of SMOS soil moisture data assimilation on NCEP-GFS forecasts［J］. EGU General Assembly，2012，14：12724.
［20］Reichle R H. Data assimilation methods in the Earth sciences［J］. Advances in Water Resources，2008，31(11)：1411-1418.
［21］Albergel C，Dorigo W，Reichle R H，et al. Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing［J］. Journal of Hydrometeorology，2013，14(4)：1259-1277.
［22］Dorigo W，Wagner W，Bauer-Marschallinger B，et al. Constructing and analyzing a 32-years climate data record of remotely sensed soil moisture［C］. Geoscience and Remote Sensing Symposium，2012：2028-2031.
［23］Wigneron J P，Calvet J C，Pellarin T，et al. Retrieving near surface soil moisture from microwave radiometric observation：current sratus and future plans［J］. Remote Sensing of Environment，2003，85(4)：489-506.
［24］Wang J R，O’Neill P E，Jackson T J，et al. Multifrequency measurements of the effects of soil moisture，soil texture，and surface roughness［J］. IEEE Transactions on Geoscience and Remote Sensing，1983，1(1)：44-51
［25］Jackson T J，Schmugge T J，Wang J R. Passive microwave sensing of soil moisture under vegetation canopies［J］. Water Resources Research，1982，18(4)：1137-1142.
［26］Mo T，Choudhury B J，Schmugge T J，et al. A model for microwave emission from vegetation-covered fields［J］. Journal of Geophysical Research Oceans，1983，87(NC13)：11229-11237.
［27］Jackson T J，le Vine D M，Swift C T，et al. Large area mapping of soil moisture using the ESTAR passive microwave radiometer in Wahita’92［J］. Remote Sensing of Environment，1995，54(1)：27-37.
［28］Calvet J C，Chanzy A，Wigneron J P. Surface temperature and soil moisture retrieval in the Sahel from airborne multifrequency microwave radiometry［J］. IEEE Transactions on Geoscience and Remote Sensing，1996，34(2)：588-600.
［29］van de Griend A A，Owe M. The influence of polarization on canopy transmission properties at 6.6 GHz and implications for large scale soil moisture monitoring in semi-arid environments［J］. IEEE Transactions on Geoscience and Remote Sensing，1994，32(2)：409-415.
［30］Liu S F，Liou Y A，Wang W J，et al. Retrieval of crop biomass and soil moisture from measured 1.4 and 10.65 GHz brighrness temperatures［J］. IEEE Transactions on Geoscience and Remote Sensing，2002，40(6)：1260-1268.
［31］Njoku E G，Li L. Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz［J］. IEEE Transactions on Geoscience and Remote Sensing，1999，37(1)：79-93.
［32］Wigneron J R，Waldteufel P，Chanzy A，et al. Two-D microwave interferometer retrieval capabilities of over land surface(SMOS Mission)［J］. Remote Sensing of Environment，2000，73：270-282.
［33］Shi J，Chen K S，Li Q，et al. A parameterized surface reflectivity model and estimation of bare surface soil moisture with L-band radiometer［J］. IEEE Transactions on Geoscience and Remote Sensing，2002，40(12)：2674-2686.
［34］Puri S，Stephen H，Ahmad S.Relating TRMM precipitation radar land surface backscatter response to soil moisture in the Southern United States［J］. Journal of Hydrology，2011，402(1/2)：115-125.
［35］Dubois P C，van Zyl J，Engman T. Measuring soil moisture with imaging radars［J］. IEEE Transctions on Geosciences and Remote Sensing，1995，33(4)：915-926.
［36］Engman E T，Chanhan N. Status of microwave soil moisture measurements with remote sensing［J］. Remote Sensing of Environment，1995，51(1)：189-198.
［37］Fung A K，Li Z，Chen K S. Backscattering from a randomly rough dielectric surface［J］. IEEE Transactions on Geoscience and Remote Sensing，1992，30(2)：356-369.
［38］Bindlish R，Barros A P. Multifrequency soil moisture inversion from SAR measurements using IEM［J］. Remote Sensing of Environment，2000，71(1)：67-88.
［39］Oh Y，Sarabandi K，Ulaby F T. An empirical model and an inversion technique for radar scattering from bare soil suiface［J］. IEEE Transactions on Geosciences and Remote Sensing，1992，30(2)：370-381.
［40］Shi J C，Wang J，Hsu A Y，et al. Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data［J］. IEEE Transactions on Geoscience and Remote Sensing，1997，35(5)：1254-1266.
［41］Ji J，Keur P V D，Thomsen A，et al. Soil moisture retrieval using the Danish L- & C-band polarimetric SAR［C］. Geoscience and Remote Sensing Symposium，1996(2)：1300-1302.
［42］Zyl J J V，Njoku E G，Jackson T J. Quantitative analysis of SMEX’02 AIRSAR data for soil moisture inversion［C］. Geoscience and Remote Sensing Symposium，2003：404-406.
［43］Attema E P W，Ulaby F T. Vegetation modelled as a water cloud［J］. Radio Science，1978，13(2)：357-364.
［44］Taconet O，Vidal-Madjar D，Emblanch C，et al. Taking into account vegetation effects to estimate soil moisture from C-band radar measurements［J］. Remote Sens Environ，1996，56：52-56.
［45］Prevot L，Poenaru V，Voicu P，et al. Surface soil moisture estimation from SAR data over wheat fields during the ADAM project［C］. Geoscience and Remote Sensing Symposium，2003：2885-2887.
［46］Maity S，Patnaik C，Chakraborty M，et al. Analysis of temporal backscattering of cotton crops using a semi-empirical model［J］. IEEE Trans Geosci Remote Sens，2004，42(3)：577-587.
［47］O’Neill P E，Chauhan N S，Jackson T J. Use of active and passive microwave remote sensing for soil moisture estimation through corn［J］. International Journal of Remote Sensing，1996，17(10)：1851-1865.
［48］Zribi M，Hégarat-Mascle S L，Ottlé C，et al. Surface soil moisture estimation from the synergistic use of the (multi-incidence and multi-resolution) active microwave ERS Wind Scatterometer and SAR data［J］. Remote Sensing of Environment，2003，86(1)：30-41.
［49］Njoku E G，Wukson W J，Dinardo S J，et al. Observation of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99［J］. IEEE Transactions on Geoscience and Remote Sensing，2002，40(12)：2659-2671.
［50］Das N N，Entekhabi D，Njoku E G. An algorithm for merging SMAP radiometer and radar data for high-resolution soil moisture retrieval［J］. IEEE Transactions on Geoscience and Remote Sensing，2011，49(5)：1504-1512.
［51］Wagner W，Lemoine G，Rott H. A method for estimating soil moisture from ERS scatterometer and Soil Data［J］. Remote Sensing of Environment，1999，70(2)：191-207.
［52］Drusch M，Wood E F，Gao H，et al. Soil moisture retrieval during the Southern Great Plains Hydrology Experiment 1999：a comparison between experimental remote sensing data and operational products［J］. Water Resources Research，2004，40(2)：389-391.
［53］Pellarin T，Calvet J C，Wagner W. Evaluation of ERS Scatterometer soil moisture products over a half-degree region in southwestern France［J］. Geophysical Research Letters，2006，33(17)：123-154.
［54］Wagner W，Pampaloni P，et al. Operational readiness of microwave remote sensing of soil moisture for hydrologic applications［J］. Water Policy，2007，38(1)：1-20.
［55］de Jeu R A M，Wagner W，Holmes T R H，et al. Global soil moisture patterns observed by space borne microwave radiometers and scatterometers［J］. Surveys in Geophysics，2008，29(4)：399-420.
［56］Njoku E G，Ashcroft P，Chan T K，et al. Global survey and statistics of Radio-Frequency Interference in AMSR-E land observations［J］. IEEE Transactions on Geoscience and Remote Sensing，2005，43(5)：938-947.
［57］Mladenova I，Lakshmi V，Jackson T J，et al. Validation of AMSR-E soil moisture using L-band airborne radiometer data from National Airborne Field Experiment 2006［J］. Eres，2011，115(8)：2096-2103.
［58］Albergel C，Zakharova E，Calvet J C，et al. A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates：the CAROLS airborne campaign［J］. Remote Sensing of Environment，2011，115(10)：2718-2728.
［59］Parrens M，Zakharova E，Lafont S，et al. Comparing soil moisture retrevals from SMOS and ASCAT over France［J］. Hydrology and Earth System Sciences Discussions，2011，16(2)：423-440.
［60］Liu Y Y，Dorigo W A，Parinussa R M，et al.Trend-preserving blending of passive and active microwave soil moisture retrievals［J］. Remote Sensing of Environment，2012，123(3)：280-297
［61］Yin J，Zhan X，Zheng Y，et al. Enhancing model skill by assimilating SMOPS blended soil moisture product into noah land surface model［J］. Journal of Hydrometeorology，2015，16(2)：917-931.

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备注/Memo

备注/Memo:
收稿日期：2016-04-06
基金项目：中国气象局干旱科学研究基金(编号：IAM201101)；中国气象局小型基建项目“农业干旱监测预报与农情分析业务系统建设”。
作者简介：郑有飞(1959—)，男，江苏无锡人，博士，教授，博士生导师，从事环境气象学研究。E-mail：zhengyf@nuist.edu.cn。
更新日期/Last Update: 2017-03-05