收稿日期: 2008-09-08
修回日期: 2009-02-19
网络出版日期: 2009-05-15
基金资助
supported by the National Natural Science Foundation of China(40571116)
Remote sensing model of component evapotranspiration in wetland using MODIS data
Received date: 2008-09-08
Revised date: 2009-02-19
Online published: 2009-05-15
Supported by
supported by the National Natural Science Foundation of China(40571116)
针对鄱阳湖地区湿度大且地表复杂多变的特点,从地表能量平衡出发,简化了陆-气相互作用的复杂过程,通过分析影响湿地蒸散的关键因子,建立了基于组分净辐射、组分土壤热通量、组分温度的湿地组分蒸散遥感模型.利用MODIS数据对鄱阳湖湿地的蒸散进行试验,根据TM分类图像得到了基于MODIS数据的1km各地类组分比率图像;在计算组分净辐射时,充分考虑到不同地表组分间对净辐射的作用差异,用组分比率、组分温度和组分反照率得到了各组分净辐射;在此基础上,得到了鄱阳湖湿地蒸散的分布.通过用余项法、实测数据和历史资料对新模型反演结果进行验证,结果表明,该模型能比较客观地反映鄱阳湖湿地蒸散分布状况.
梁文广 , 赵英时 , 周霞 , 刘茜 . MODIS数据湿地组分蒸散遥感模型[J]. 中国科学院大学学报, 2009 , 26(3) : 364 -372 . DOI: 10.7523/j.issn.2095-6134.2009.3.011
The study area "Poyang Lake area" is referred to humid environment and complex land coverage. In this paper, a component evapotranspiration model for wetland is developed based on component net radiance flux, component soil heat flux and component temperature through simplifying the complex processes of land-atmosphere interaction and analyzing vital factors which influence regional evapotranspiration. In the experiment the MODIS component proportion images with the 1km pixel are created according to TM classified images. Considering the difference of effect caused by different components on net radiance flux, the component net radiance flux is calculated using component proportion, component temperature and component albedo. The daily evapotranspiration distribution in Poyang Lake wetland is finally obtained. The new model is validated using residual method, field surveying data and history meteorological data. The result shows that the evapotranspiration acquired by the new model in Poyang Lake wetland is credible, and it can reflect the distribution of evapotranspiration in wetland objectively.
[1] Norman J,Rosenberg BLB, Shashi BV. Microclimate:The biological environment (Second Edition). New York:A Wiley-Interscience Publication,1983.209~210
[2] Shuttleworth WJ, Wallace JS. Evaporation from sparse crops-an energy combination theory. QJR MeteorolSoc, 1985,111:839~855
[3] Jiang L, Islam S. Estimation of surface evaporation map over southern Great Plains using remote sensing data. Water Resources Research,2001,37(2):329~340
[4] Zhang RH, Sun XM, Zhu ZL, et al. A remote sensing model for monitoring soil evaporation based on differential thermal inertia and its validation. Science in China(Series D),2003,46(4):342~355
[5] Wang K, Wang P, Li Z, et al. A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature. Journal of Geophysical Research, 2007,112,D15107,doi:10.1029/2006JD00 8351
[6] Liang WG, Zhao YS, Zhou X. Research on the inversion of surface component temperatures using MODIS data. Resources and Environment in the Yangtze Basin,2008,17(6):948~954(in Chinese) 梁文广,赵英时,周 霞.基于MODIS数据的地表组分温度反演研究.长江流域资源与环境,2008,17(6):948~954
[7] Zhou X,Zhao YS,Feng L. Decision tree classification of wetland base on knowledge. Journal of Lanzhou University (Natural Sciences), 2007,43:37~43(in Chinese) 周 霞,赵英时,冯 磊.基于决策树的鄱阳湖湿地信息自动提取.兰州大学学报(自然科学版),2007,43:37~43
[8] 田国良,等.热红外遥感.北京:电子工业出版社,2006.243
[9] 赵英时,等.遥感应用分析原理与方法.北京:科学出版社,2003
[10] Xie XQ. Estimation of daily evapo-transpiration (ET) from one time-of-day remotely sensed canopy temperature.Remote Sensing of Environment China,1991,6(4):253~259(in Chinese) 谢贤群.遥感瞬时作物表面温度估算农田全日蒸发散总量.环境遥感,1991,6(4):253~259
[11] Lillesand Thomas M, Kiefer Ralph W. Remote sensing and image interpretation. 3rd ed. John Wiley & Sons Inc,1994
[12] Liu ZH,Zhao YS,Song XN. A simplified surface albedo inverse model with MODIS data. Remote Sensing Technology and Application,2004,19(6):508~511(in Chinese) 刘振华,赵英时,宋小宁.MODIS卫星数据地表反照率反演的简化模式.遥感技术与应用,2004,19(6):508~511
[13] Su Z. The surface energy balance system(SEBS)for estimation of turbulence heat fluxes. Hydrology and Earth System Sciences, 2002,6:85~99
[14] Raupach MR. Vegetation-atmosphere interaction and surface conductance at leaf,canopy and regional scales.Agric For Meteorol,1995,73:151~179
[15] Blyth EM,Harding RJ. Application of aggregation model to surface heat flux from the Sahelian tiger bush.Agric For Meteorol, 1995,72:213~235
[16] 辛晓洲,柳钦火,唐 勇,等.用CBERS-02卫星和MODIS数据联合反演地表蒸散通量.中国科学 E辑(信息科学),2005,35(增刊Ⅰ):125~140
[17] Choudhury BJ. Estimating evporation and carbon assimilation using infrared temperature data: vistas in modeling. In:Theory and Applications of Remote Sensing. New York:John Wiley, 1989. 628~690
[18] Song XN,Zhao YS. Inversion of component temperatures based on MODIS data. Journal of China University of Mining & Technology, 2004,33(44):406~411(in Chinese) 宋小宁,赵英时.基于MODIS数据的组分温度反演研究.中国矿业大学学报,2004,33(44):406~411
[19] 刘信中,叶居新,等.江西湿地.北京:中国林业出版社,2000
[20] Wang J, Ma Y, Menenti M, et al. The scaling-up of processes in the heterogeneous landscape of HEIFE with the aid of satellite remote sensing. Journal of Meteorological Society of Japan,1995,73(6):1235~1244
[21] Bastiaanssen WGM, Menenti M, Feddes RA, et al. A remote sensing surface energy balance algorithm of land (SEBAL)(1.Formulation).Journal of Hydrology,1998,212~213:198~212
[22] 张仁华,孙晓敏,王伟民,等.一种可操作的区域尺度地表通量定量遥感二层模型的物理基础.中国科学D辑(地球科学),2004,34(增刊Ⅱ):200~216
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