地表土壤水分的卫星遥感反演方法研究进展
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Progress of the Methods of Remote Sensing Monitoring the Soil Moisture
  • 作者:徐嘉昕 ; 李璇 ; 朱永超 ; 房世波 ; 吴东 ; 武英洁
  • 英文作者:Xu Jiaxin;Li Xuan;Zhu Yongchao;Fang Shibo;Wu Dong;Wu Yingjie;Institute of Ecoenvironment and Agrometeorology, Chinese Academy of Meteorological Sciences;Institute of Arid Meteorology,China Meteorological Administration;
  • 关键词:热红外 ; 遥感反演 ; 合成孔径雷达 ; 被动微波 ; 干旱指数
  • 英文关键词:thermal infrared;;remote sensing monitoring;;synthetic aperture radar;;passive microwave;;drought index
  • 中文刊名:QXKZ
  • 英文刊名:Advances in Meteorological Science and Technology
  • 机构:中国气象科学研究院生态环境与农业气象研究所;中国气象局兰州干旱气象研究所;
  • 出版日期:2019-04-20
  • 出版单位:气象科技进展
  • 年:2019
  • 期:v.9
  • 基金:干旱气象科学研究基金(IAM201607);; 中国气象科学研究院的基本科研业务费(2018Z008,2017Z004);; 国家自然科学基金(61661136005)
  • 语种:中文;
  • 页:QXKZ201902008
  • 页数:7
  • CN:02
  • ISSN:10-1000/P
  • 分类号:19-25
摘要
土壤水分是影响农业生产的重要因子之一,掌握农田地表土壤水分对农业生产实践有着重要的意义和作用。目前监测土壤水分的方法有传统的点尺度物理监测、基于物理模型和数学计算方法的模拟技术以及遥感监测方法。而随着遥感技术的发展,逐渐克服了前两种方法由于采样点限制以及所需参数复杂等制约因素。从不同的遥感波段和遥感方法划分,介绍了可见光-近红外遥感、热红外遥感、微波遥感的发展现状及不同波段所对应的研究方法,并对各种方法的优势和局限性进行了总结,加强改进模型方法研究,增强主被动微波结合反演方法的利用对于减少植被对土壤水分的影响有很大的益处,这也是今后遥感技术反演农田地表土壤水分的趋势。
        Soil moisture is one of the crucial elements affecting agricultural production. To monitor the surface soil moisture of the cropland is of great significance for agricultural production. Currently, the methods applied to monitor the soil moisture include the traditional physical measurement based on the sites, the simulation techniques by physical models and mathematical methods, and the remote sensing technology. The deficiencies induced by the first two methods mainly are the limited samples and the complicated parameters. Now these have been overcome with the development of remote sensing. On the basis of the differences among spectral bands and methods for remote sensing, this paper introduces the progress of remote sensing techniques about visible-near infrared, thermal infrared, microwave and their corresponding methodology, summarizes the advantages,disadvantages and applicability for different methods and also give the outlook about the retrieval of surface soil moisture of cropland by the remote sensing technology. Strengthen the study of improved model method and enhance the use of active and passive microwave data to reduce the influence of vegetation on soil moisture. It is also the trend of remote sensing monitoring the soil moisture over agricultural area in the future.
引文
[1]张滢,丁建丽,周鹏.干旱区土壤水分微波遥感反演算法综述.干旱区地理,2011,34(4):671-678.
    [2]杨涛,宫辉力,李小娟,等.土壤水分遥感监测研究进展.生态学报,2010,30(22):6264-6277.
    [3]王明霞,毋兆鹏.遥感监测土壤湿度综述.干旱环境监测,2013,(4):163-168.
    [4]郭英,沈彦俊,赵超.主被动微波遥感在农区土壤水分监测中的应用初探.中国生态农业学报,2011,19(5):1162-1167.
    [5]谭凯炎,房世波,任三学.灌溉农田土壤湿度的时空变化特征.中国农业气象,2010,31(3):423-426.
    [6]房世波,阳晶晶,周广胜.30年来我国农业气象灾害变化趋势和分布特征.自然灾害学报,2011,20(5):69-73.
    [7]张红梅,沙晋明.遥感监测土壤湿度的方法综述.中国农学通报,2005,21(2):307-307.
    [8]高学睿,魏素洁,李悦,等.区域尺度农田土壤湿度研究方法综述与展望.人民长江,2013(z1).
    [9]Chen S L,Liu Y B,Wen Z M.Satellite retrieval of soil moisture:an overview.Advances in Earth Science,2012,27(11):1192-1203.
    [10]王振龙,高建峰.实用土壤墒情监测预报技术.北京:中国水利水电出版社,2006.
    [11]刘思春,高亚军,王永一,等.土壤水势测定方法的选择及准确性研究.干旱地区农业研究,2011,(4):189-192.
    [12]田昌玉,孙文彦,林治安,等.中子仪测定土壤水分方法的研究进展.中国农学通报,2011,(18):7-11.
    [13]吴月茹,王维真,晋锐,等.TDR测定土壤含水量的标定研究.冰川冻土,2009,(2):262-267.
    [14]郭卫华,李波,张新时,等.FDR系统在土壤水分连续动态监测中的应用.干旱区研究,2003,(4):247-251.
    [15]高峰,李建平,王黎黎,等.土壤水运动理论研究综述.湖北农业科学,2009,(4):982-986.
    [16]李明星,马柱国,杜继稳.区域土壤湿度模拟检验和趋势分析--以陕西省为例.中国科学(地球科学),2010,(3):363-379.
    [17]Fasinmirin J T,Olufayo A A,Oguntunde P G.Calibration and validation of a soil water simulation model for field grown Amaranthus cruentus.International Journal of Plant Produbtion,2008,2(11):269-278.
    [18]王润冬,陆垂裕,孙文怀,等.基于MODCYCLE模型的农田降水入渗补给研究.人民黄河,2011,(4):51-53.
    [19]刘志明,张柏,晏明,等.土壤水分与干旱遥感研究的进展与趋势.地球科学进展,2003,18(4):576-583.
    [20]Bowers S A,Hunks R J.Reflection of radiant energy from soils.Soil Science,1965,100(2):130-138.
    [21]Chanzy A.Basic soil surface characteristics derived from active microwave remote sensing.Remote Sensing Reviews,1993,7(3-4):303-319.
    [22]Henricksen B L.Reflections on drought:Ethiopia 1983-1984.International Journal of Remote Sensing,1986,7(11):5.
    [23]张智韬,陈俊英,刘俊民,等.TM6对遥感主成分分析监测土壤含水率的影响.节水灌溉,2010,(4):16-19.
    [24]徐彬彬,季耿善.土壤光谱反射特性研究及其应用.土壤学进展,1987,15(1):3-11.
    [25]徐彬彬.我国土壤光谱线之研究.遥感学报,1991,6(1):61-71.
    [26]徐彬彬.土壤剖面的反射光谱研究.土壤,2000,32(6):281-287.
    [27]郭广猛,赵冰茹.使用MODIS数据监测土壤湿度.土壤,2004,36(2):219-221.
    [28]Yu X i a n p i n g,H e H on g s h i.T h e S t u d y o f E c o l o g y a n d Environment by Remote Sensing.Beijing:Science Press,1990.
    [29]姚坤,师庆东,逄淑女,等.遥感反演土壤湿度综述.楚雄师范学院学报,2008,23(6):89-92.
    [30]Myers V I,Heilman H D.Thermal IR for soil temperature studies.Photogram metric Engineering and Remote Sensing,1969,35:1024-1032.
    [31]Watson K,Rownen L C,Officeld T W.Application of thermal modeling in the geologic interpretation of IR images.Remote Sensing of Environment,1971,(3):2017-2041.
    [32]Jackson R D,Idso S B,Reginato R J.Canopy temperature as a crop water stress indicator.Water Resource Research,1981,17:1133-1138.
    [33]Jackson R D,Kustas W P,Choudhury B J.A reexamination of the crop water stress index.Irrigation Science,1988,9(4):309-317.
    [34]Idso S B,Jack son R D,P inter P J Jr,et al.Normalizing the stress degree day for environmental variability.Agricultural Meteorology,1981,24:45-55.
    [35]Kogan F N.Remote sensing of weather impacts on vegetation in non-homogeneous areas.International Journal of Remote Sensing,1990,11(8):15.
    [36]章立玲,朱俊.土壤含水量对温度变化规律的实验研究.科协论坛,2012(7):132-133.
    [37]Luo X L,Xue Q,Zhang C H,et al.Drought monitoring using NOAA-AVHRR data in Sichuan province.Met eorological Monthly,1996,22(5):35-38.
    [38]Li X C,Dong W M.Methods research on monitoring drought by using remote sensing and GIS.Remote Sensing Technology and Application,1996,11(3):7-15.
    [39]WMO/GWP Integrated Drought Management Programme(IDMP).Handbook of Drought Indicators and Indices.WMO-No.1173.Geneva/Stockholm:WMO/GWP,2016.
    [40]Njoku E G,Kong J A.Theory for passive microwave remote sensing of near-surface soil moisture.J Geophys Res,1977,82(3):108-3118.
    [41]Shu N.Principles of Microwave Remote Sensing.Wuhan:Wuhan University Press,2001:67-69.
    [42]Zhong R F,Guo H D,Wang W M.Overview of soil moisture retrieval from passive microwave remote sensing.Remote Sensing Technology and Application,2005,20(1):49-55.
    [43]张俊荣,王丽巍,张德海.植被和土壤的微波介电常数.遥感技术与应用,1995,10(3):40-50.
    [44]Chanzy A.Basic soil surface characteristics derived from active microwave remote sensing.Remote Sensing Review,1993,7:303-320.
    [45]李俐,王荻,王鹏新,等.合成孔径雷达土壤水分反演研究进展.资源科学,2015,37(10):1929-1940.
    [46]Shoshany M,Svoray T,Curran P J,et al.The relationship between ERS-2 SAR backscatter and soil moisture:generalization from a humid to semi-arid transection.International Journal of Remote Sensing,2000,21(11):2337-2343.
    [47]Srivastava H S,Patel P,Manchanda M L,et al.Use of multiincidence angle RADARSAT-1 SAR data to incorporate the effect of surface roughness in soil moisture estimation.IEEE Transactions on Geoscience and Remote Sensing,2003,41(7):1638-1640.
    [48]Shi J C,Wang J,Hsu A Y.Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data.IEEE Transactions on Geoscience and Remote Sensing,1997,35(5):1254-1266.
    [49]De Roo R D,D u Y,U laby F T,et al.A semi-empirical backscattering model at L-band and C-band for a soybean canopy with soil moisture inversion.IEEE Transactions on Geoscience and Remote Sensing,2001,39(4):864-872.
    [50]Lakhankar T,Ghedira H,Khanbilvardi R.Soil Moisture Retrieval from RADARSAT data:a neuro-fuzzy approach.IEEEGeoscience and Remote Sensing Symposium,2006.
    [51]Notarnicola C,Angiulli M,Posa F.Soil moisture retrieval from remotely sensed data:Neural network approach versus Bayesian method.IEEE Transactions on Geoscience and Remote Sensing,2008,46(2):547-557.
    [52]Paloscia S,Santi E,Pettinato S,et al.The use of COSMO-SkyMed images for retrieving snow depth and soil moisture in mountainous areas.IEEE Geoscience and Remote Sensing Symposium,2014.
    [53]Pierdicca N,Pulvirenti L,Bignami C.Soil moisture estimation over vegetated terrains using multitemporal remote sensing data.Remote Sensing of Environment,2010,114(2):440-448.
    [54]Rahman M M,Moran M S,Thoma D P,et al.A derivation of roughness correlation length for parameterizing radar backscatter models.Remote Sensing,2007,28(18):3995-4012.
    [55]Merzouki A,McNairn H,Pacheco A.Mapping soil moisture using RADARSAT-2 data and local autocorrelation statistics.IEEEJournal of Selected Topics in Applied Earth Observations and Remote Sensing,2011,4(1):128-137.
    [56]Rodionova N V.A combined use of decomposition and empirical model for soil moisture estimation in vegetated areas f rom polarimetric SAR data.Friedrichshafen:Synthetic Aperture Radar(EUSAR),2008.
    [57]Hajnsek I,Jagdhuber T.Potential of estimating soil moisture under vegetation cover by means of polSAR.IEEE Transactions on Geoscience and Remote Sensing,2009,47(2):442-454.
    [58]李杏朝.微波遥感监测土壤水分的研究初探.遥感技术与应用,1995,10(4):1-8.
    [59]田国良.土壤水分的遥感监测方法.环境遥感,1991(02):89-98,161.
    [60]Zeng X J,Xing Y Q,Shan W,et al.Soil water content retrieval based on Sentinel-1A and Landsat 8 image for Bei’an-Heihe Expressway.Chinese Journal of Eco-Agriculture,2017,25(1):118-126.
    [61]李新武,郭华东,李震,等.重复轨道SIR-C极化干涉SAR数据植被覆盖区土壤水分反演研究.遥感学报,2009,13(3):430-436.
    [62]Schmugge T J,Gloersen P,Wilh eit T,et al.Remote sensing of soil moisture with microwave radio meters.Journal of Geophysical Research,1974,79(2):317-323.
    [63]Jackson T J,Schmugge T J,Wang J R.Passive microwave sensing of soil moisture under vegetation canopies.Water Resources Research,1982,18(4):1137-1142.
    [64]Camillo P T,Schmugge T S.Estimating soil moisture storage in the root zone f rom surface measurements.Soil Science,1983,135(4):245-264.
    [65]毛克彪,唐华俊,周清波,等.被动微波遥感土壤水分反演研究综述.遥感技术与应用,2007,22(3):466-470.
    [66]Zhu Y C,Zheng Y C,Fang S B,et al.Analysis of the brightness temperature features of the lunar surface using 37 GHz channel data f rom the Chang'E-2 microwave radiometer.Advances in Space Research,2019,63(1):750-765.
    [67]郭英,沈彦俊,赵超.主被动微波遥感在农区土壤水分监测中的应用初探.中国生态农业学报,2011,19(5):1162-1167.
    [68]余凡,赵英时.基于主被动遥感数据融合的土壤水分信息提取.农业工程学报,2011,27(6):187-192.
    [69]Chauhan N S.Soil moisture estimation under a vegetation cover:combined active passive microwave remote sensing approach.International Journal of Remote Sensing,1997,18(5):1079-1097.
    [70]LakshmiV,BoltenJ,NjokuE,et al.Monitoring of large scale soil moisture from air borne PALS sensor observations during SGP99.ProcInt Geosci Remote Sens Symp,Honolulu,HI,2000.
    [71]杨立娟,武胜利,张钟军.利用主被动微波遥感结合反演土壤水分的理论模型分析.国土资源遥感,2011,(2):53-58.
    [72]李震,郭华东,施建成.综合主动和被动微波数据监测土壤水分变化.遥感学报,2002(6):481-484,539.
    [73]赵天杰,张立新,蒋玲梅,等.利用主被动微波数据联合反演土壤水分.地球科学进展,2009,24(7):769-775.
    [74]卫炜.基于主被动微波遥感联合的土壤水分监测研究.北京:中国农业科学院,2012.
    [75]孙亚勇.基于C和L波段主被动微波遥感的土壤水分协同反演研究.北京:中国水利水电科学研究院,2018.
    [76]张祥,陈报章,赵慧,等.基于时序Sentinel-1A数据的农田土壤水分变化检测分析.遥感技术与应用,2017,32(2):338-345.
    [77]何连,秦其明,任华忠,等.利用多时相Sentinel-1 SAR数据反演农田地表土壤水分.农业工程学报,2016,32(3):142-148.
    [78]闫峰,李茂松,王艳姣,等.遥感技术在农业灾害监测中的应用.自然灾害学报,2006,15(6):131-136.
    [79]苏永荣,宫阿都,吕潇然,等.基于改进温度植被干旱指数的农田土壤水分反演方法.遥感信息,2015,(6):96-101.
    [80]汪倩倩,汪权方,王新生,等.地面资料稀缺区域的农田土壤水分微波与光学遥感协同反演方法研究.中国农学通报,2018,34(36):117-123.
    [81]余涛,田国良.热惯量法在监测土壤表层水分变化中的研究.遥感学报,1997,1(1):24-31.
    [82]Song Y,Fang S B,Liang H Y,et al.Comparison and application of agricultural drought indexes based on MODIS data.Remote Sensing for Land and Resources,2017,29(2):215-220.
    [83]Fang S B,Yu W G,Qi Y.Spectra and vegetation index variations in moss soil crust in different seasons,and in wet and dry conditions.International Journal of Applied Earth Observation and Geoinformation,2015,38:261-266.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700