地球科学进展 ›› 2012, Vol. 27 ›› Issue (12): 1308 -1318. doi: 10.11867/j.issn.1001-8166.2012.12.1308

综述与评述 上一篇    下一篇

基于热红外遥感的农田蒸散估算方法研究综述
姚云军 1,程洁 1,赵少华 2,贾坤 1,谢先红 1,孙亮 1
  
  1. 1.遥感科学国家重点实验室,北京师范大学全球变化与地球系统科学研究院,北京100875;
    2. 环境保护部卫星环境应用中心,北京100094
  • 收稿日期:2012-05-28 修回日期:2012-08-07 出版日期:2012-12-10
  • 基金资助:

    遥感科学国家重点实验室自由探索项目“多时空尺度农田蒸散遥感估算方法研究”(编号:ZY12-11);国家自然科学基金项目“集成热红外和微波遥感的农田蒸散估算方法研究”(编号:41201331);民用航天“十二五”预先研究项目“固体地表要素获取遥感载荷数据处理关键技术研究”资助.

Estimation of Farmland Evapotranspiration: A Review of Methods Using Thermal Infrared Remote Sensing Data

Yao Yunjun 1, Cheng Jie 1, Zhao Shaohua 2, Jia Kun 1,Xie Xianhong 1, Sun Liang 1   

  1. 1.State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science,  Beijing Normal University, Beijing100875, China;
    2.Environmental Satellite Center, Ministry of Environmental Protection, Environmental Satellite Center, Beijing100094, China
  • Received:2012-05-28 Revised:2012-08-07 Online:2012-12-10 Published:2012-12-10

农田蒸散是农田土壤蒸发和作物蒸腾的总称,基于热红外遥感的农田蒸散估算方法研究是农业遥感领域重要前沿课题之一。经过30多年的发展,基于热红外遥感的遥感蒸散算法逐渐成熟并广泛应用于农业、气象以及水文等多个领域。简要回顾基于热红外遥感地表温度与空气温度温差的经验方法、地表能量平衡的单层和双层模型、基于热红外遥感数据源的彭曼公式以及遥感参数化的Priestley-Taylor模型等多种遥感蒸散模型的基本原理、核心算法以及存在问题等研究。针对这些方法的优缺点,指出了基于热红外遥感的农田蒸散估算方法在农业遥感中尚需解决的关键问题,并提出可能的解决途径。

 Farmland evapotranspiration generally refers to the sum of soil evaporation and vegetation transpiration. Development of the methods for farmland evapotranspiration estimation using thermal infrared remote sensing data is the challenging task in agricultural remote sensing. With more than three-decade development of space-borne sensors, the approaches to estimating evapotranspiration appear mature and have widely used in agricultural, meteorological and hydrological fields. This paper briefly describes the principles and the main types of current main retrieval algorithms of evapotranspiration, including the empirical method using the temperature difference between land surface temperature derived from thermal infrared remote sensing and air temperature, one source and two source models based on land surface energy balance, remotesensingbased Penman-Monteith equation, Priestley-Taylor parameterized by remote sensing based on using thermal infrared remote sensing data, etc. A number of algorithms have been proposed with a particular combination of multiple sources remotely sensed data. Importantly the unresolved problems of evapotranspiration estimation methods based on thermal infrared remote sensing in agricultural remote sensing are pointed out in the paper and the corresponding countermeasures are put forward.

中图分类号: 

[1]Deng Fangping, Liu Chuang, Su Gaoli. A review of remote sensing of regional evapotranspiration[J]. Bulletin of Science and Technology, 2008, 24(4):465-472.[邓芳萍, 刘闯, 苏高利. 区域蒸散的遥感研究进展[J]. 科技通报, 2008, 24(4):465-472.]

[2]Kustas W P, Choudhury B J, Moran M S, et al. Determination of sensible heat flux over sparse canopy using thermal infrared data[J]. Agricultural and Forest Meteorology, 1989, 44: 197-216.

[3]Li Z L, Tang R L, Wan Z M, et al. A review of current methodologies for regional evapotranspiration estimation from remotely sensed data[J]. Sensors, 2009, 9(5): 3 801-3 853.

[4]Liu Yani, Wu Jianjun, Xia Hong, et al. Summary of two-layer models on estimating evapotranspiration using quantitative parameters derived from remote sensing[J]. Arid Land Geography, 2005, 28(1): 65-71.[刘雅妮, 武建军, 夏虹, 等. 地表蒸散遥感反演双层模型的研究方法综述[J]. 干旱区地理, 2005, 28(1):65-71.]

[5]Seguin B, Itier B. Using midday surface temperatures to estimate daily evaporation from satellite thermal IR data[J]. International Journal of Remote Sensing, 1983, 4: 371-383.

[6]Carlson T N, Gillies R R, Schmugge T J. An interpretation of methodologies for indirect measurements of soil water content[J]. Agricultural and Forest Meteorology, 1995, 77:191-205.

[7]Norman J M, Becker F. Terminology in thermal infrared remote sensing of natural surfaces[J]. Agricultural and Forest Meteorology, 1995, 77:153-166.

[8]Wang K, Liang S. An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture[J]. Journal of Hydrometeorology, 2008, 9: 712-727.

[9]Yao Y, Liang S, Qin Q, et al. Monitoring global land surface drought based on a hybrid evapotranspiration model[J]. International Journal of Applied Earth Observation and Geoinformation, 2011, 13: 447-457.

[10]Brown K W, Rosenberg H T. A resistance model to predict evapotranspiration and its application to a sugar beet field[J]. Agronomy Journal, 1973, 66: 450-454.

[11]Kalma J D, McVicar T R, McCabe M F. Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data[J]. Surveys in Geophysics, 2008, 29:421-469. 

[12]Tian Guoliang. Thermal Remote Sensing[M]. Beijing: Electronics Industry Press, 2006:236-240.[田国良.热红外遥感[M]. 北京: 电子工业出版社, 2006:236-240.]

[13]Shuttleworth W J, Wallace J S. Evaporation from sparse crops—An energy combination theory[J]. Quarterly Journal of the Royal Meteorological Society, 1985, 111:839-855.

[14]Kustas W P, Norman J M. Evaluation of soil and vegetation heat flux predictions using a simple two source model with radiometric temperatures for partial canopy cover[J]. Agricultural and Forest Meteorology, 1999, 94:13-25.

[15]Xin Xiaozhou, Liu Qinhuo, Tian Guoliang, et al. Estimate of surface evaportranspiration based on hypothesis of temperature difference between soil and foliage at three typical soil water status[J]. Journal of Beijing Normal University (Natural Science), 2007, 43(3):221-227.[辛晓洲, 柳钦火, 田国良,等.利用土壤水分特征点组分温差假设模拟地表蒸散[J].北京师范大学学报:自然科学版, 2007, 43(3): 221-227.]

[16]Anderson M C, Norman J M, Diak G R, et al. A two-source time-integrated model for estimating surface fluxes from thermal infrared satellite observations[J]. Remote Sensing of Environment, 1997, 60:195-216.

[17]Anderson M C, Norman J M, Mecikalski J R, et al. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation[J]. Journal of Geophysical Research, 2007, 112:D10117.

[18]Mecikalski J R, Diak G R, Anderson M C, et al. Estimating fluxes on continental scales using remotely sensed data in an atmospheric-land exchange model[J]. Journal of Applied Meteorology, 1999, 38: 1 352-1 369.

[19]Penman H L. Natural evaporation from open water, bare soil and grass[J]. Proceedings of the Royal Society of Loudon, Series A,Mathernatical and Physiall Sciences, 1948, 193:120-145.

[20]Monteith J L. Principles of Environmental Physics[M]. London: Edward Arnold, 1973:241.

[21]Shuttleworth J W. Evaporation Models in Hydrology[M]∥Schmugge T J, André J C, eds.  Land Surface Evaporation. Measuremend and Paramenterization.New York: Springer-Yerlag, 1991:93-120.

[22]Cleugh H A, Leuning R, Mu Q, et al. Regional evaporation estimates from flux tower and MODIS satellite data[J]. Remote Sensing of Environment, 2007, 106: 285-304.

[23]Mu Q, Heinsch F A, Zhao M, et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J]. Remote Sensing of Environment, 2007, 111: 519-536.

[24]Mu Q, Zhao M S, Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 2011, 115:1 781-1 800.

[25]Zhang K, Kimball J S, Mu Q, et al. Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005[J]. Journal of Hydrology, 2009, 379:92-110.

[26]Wu Bingfang, Xiong Jun, Yan Shanshan. ETWatch: Models and methods[J]. Journal of Remote Sensing, 2011, 15(2): 224-230.[吴炳方, 熊隽, 闫姗姗. ETWatch的模型与方法[J]. 遥感学报, 2011, 15(2): 231-239.]

[27]Gao Yanchun, Long Di. Progress in models for evapotranspiration estimation using remotely sensed data[J]. Journal of Remote Sensing, 2008, 12(3): 515-528.[高彦春, 龙笛. 遥感蒸散发模型研究进展[J]. 遥感学报,2008,12(3):515-528.]

[28]Priestley C H B, Taylor R J. On the assessment of surface heat flux and evaporation using large-scale parameters[J]. Monthly Weather Review,1972, 100:81-92.

[29]Jiang L, Islam S. Estimation of surface evaporation map over southern Great Plains using remote sensing data[J]. Water Resources Research, 2001, 37: 329-340.

[30]Wang K, Li Z, Crib M. Estimation of evaporative fraction from a combination of day and night land surface temperatures and NDVI: A new method to determine the Priestley-Taylor parameter[J]. Remote Sensing of Environment, 2006, 106:293-305.

[31]Fisher J B, Tu K P, Baldocchi D D. Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites[J]. Remote Sensing of Environment, 2008, 112: 901-919.

[32]Yao Y, Liang S, Cheng J, et al. MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm[J]. Agricultural and Forest Meteorology, 2012, doi:10.106/j.agrformet.2012.11.26.

[33]McVicar T R, Jupp D L B. The current and potential operational uses of remote sensing to aid decisions on drought exceptional circumstances in Australia: A review[J]. Agricultural Systems, 1998, 3: 399-468.

[34]Liang S, Wang K, Zhang X, et al. Review of estimation of land surface radiation and energy budgets from ground measurements, remote sensing and model simulation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010, 3: 225-240.

[35]Bastiaanssen W G M, Menent M, Feddes R A, et al. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation[J]. Journal of Hydrology, 1998, 212/213: 198-212.

[36]Bastiaanssen W G M, Pelgrum H, Wang J, et al. A remote sensing surface energy balance algorithm for land (SEBAL): 2.Validation[J]. Journal of Hydrology, 1998, 212/213: 213-229.

[37]Roerink G J, Su Z, Menenti M. S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance[J]. Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere,2000, 25:147-157.

[38]Allen R G, Tasumi M, Trezza R. METRIC: Mapping Evapotranspiration at High Resolution Applications Manual for Landsat Satellite Imagery[M]. University of Idaho: Kimberly,2005.

[39]Gowda P H, Chvez J L, Howell T A, et al. Surface energy balance based evapotranspiration mapping in the Texas high plains[J]. Sensors, 2008, 8:5 186-5 201.

[40]Nemani R R, Running S W. Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data[J]. Journal of Applied Meteorology, 1989, 28: 276-284.

[41]Nemani R, Price L L, Running S W, et al. Developing satellite derived estimates of surface moisture status[J]. Journal of Applied Meteorology,1993,32:548-557.

[42]Price J C. Using spatial context in satellite data to infer regional scale evapotranspiration[J]. IEEE Transactions on Geosciences and Remote Sensing, 1990,28:940-948.

[43]Lambin E F, Ehrlich D. The surface temperature vegetation index space for land cover and land cover change analysis[J]. International Journal of Remote Sensing,1996, 17:463-487.

[44]Wang Changyao, Luo Chengfeng, Qi Shuhua, et al. A method of land cover classification for China based on NDVI-Ts space[J]. Journal of Remote Sensing, 2005, 9(1):93-99.[王长耀, 骆成凤, 齐述华, 等. NDVI-Ts空间全国土地覆盖分类方法研究[J].遥感学报,2005, 9(1):93-99.]

[45]Zhang Renhua. Quantitative Thermal Infrared Remote Sensing Model and Ground Experimental[M]. Beijing: Science Press, 2009:382-428.[张仁华.定量热红外遥感模型及地面实验基础[M].北京:科学出版社, 2009: 382-428.]

[46]Goward S N, Xue Y K, Czajkowski K P. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: An exploration with the simplified simple biosphere model[J]. Remote Sensing of Environment, 2002, 79: 225-242.

[47]Zhang Renhua, Sun Xiaomin, Zhu Zhilin, et al. A remote sensing model for monitoring soil evaporation based on thermal inertia and its validation[J]. Science in China (Series D), 2003, 46(4): 342-355.[张仁华,孙晓敏,朱治林,等.以微分热惯量为基础的地表蒸发全遥感信息模型及在甘肃沙坡头地区的验证[J].中国科学:D辑, 2002,32(12):1 041-1 050.]

[48]Jackson R D, Idso S B. Canopy temperature as a crop water stress indicator[J]. Water Resources Research, 1981, 17: 1 133-1 138.

[49]Choudhury B J, Reginato R J, Idso S B. An analysis of infrared temperature observations over wheat and calculation of latent heat flux[J]. Agricultural and Forest Meteorology, 1986,37:75-88.

[50]Moran M S, Clarke T R, Inou Y. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index[J]. Remote Sensing of Environment, 1994,49:246-263.

[51]Bouchet R J. Evapotranspiration re’elle et potentielle, signification climatique[J].IAHS Publication, 1963, 62:134-142.

[52]Brutsaert W, Stricker H. An advection-aridity approach to estimate actual regional evapotranspiration[J]. Water Resources Research, 1979,15:443-449.

[53]Morton F I. Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology[J]. Journal of Hydrology, 1983, 66:1-76.

[54]Venturini V, Islam S, Rodriguez L. Estimation of evaporative fraction and evapotranspiration from MODIS products using a complementary based model[J]. Remote Sensing of Environment, 2008, 112:132-141.

[55]Liu Shaomin, Sun Rui, Sun Zhongping, et al. Comparison of different complementary relationship models for regional evapotranspiration estimation[J]. Acta Geographica Sinica, 2004, 59(3): 331-340.[刘绍民,孙睿,孙中平, 等. 基于互补相关理论的区域蒸散量估算模型的比较[J].地理学报, 2004, 59(3): 331-340.]

[56]Wang K, Dickinson R, Wild M, et al. Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002, part 1: Model development[J]. Journal of geophysical Research, 2010, 115:D20112.

[57]Wang K, Dickinson R, Wild M, et al. Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002, part 2: Results[J]. Journal of Geophysical Research, 2010,115:D20113.

[58]Charney J, Halem M, Jastrow R. Use of incomplete historical data to infer the present state of the atmosphere[J]. Journal of the Atmospheric Sciences, 1969, 26:1 160-1 163.

[59]Xu Tongren, Liu Shaomin, Qin Jun, et al. Estimation of sensible and latent heat flux by assimilating MODIS LST products[J]. Journal of Remote Sensing, 2009, 13(6): 989-998.[徐同仁, 刘绍民, 秦军, 等. 同化MODIS温度产品估算地表水热通量[J]. 遥感学报, 2009, 13(6):999-1 009.]

[60]Qin Jun, Yan Guangjian, Liu Shaomin, et al. Application of Ensemble Kalman Filter to remote sensing inversion of land surface parameters[J]. Science in China (Series D), 2006, 49(6):632-640.[秦军, 阎广建, 刘绍民, 等. 集合卡曼滤波在遥感反演地表参数中的应用——以核驱动模型反演BRDF为例[J]. 中国科学:D辑, 2005,35(8): 790-798.]

[61]Li Xin, Huang Chunlin, Che Tao, et al. Development of a Chinese land data assimilation system: Its progress and prospects[J]. Progress in Natural Science, 2007,17(8): 881-892.[李新, 黄春林,车涛,等.中国陆面数据同化系统研究的进展与前瞻[J].自然科学进展,2007,12(2): 163-173.]

[62]Xu T, Liang S, Liu S, et al. Estimating turbulent fluxes through assimilation of geostationary operational environmental satellites data using ensemble Kalman filter[J]. Journal of Geophysical Research, 2011,116:D09109.

[63]Courault D, Seguin B, Olioso A. Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modelling approaches[J]. Irrigation and Drainage Systems, 2005,19:223-249.

[64]Van den Hurk B J, Bastiaanssen W G, Pelgrum H. A new methodology for assimilation of initial soil moisture fields in weather prediction models using METEOSAT and NOAA data[J]. Journal of Applied Meteorology,1997,36:1 271-1 283.

[65]Jones A S, Guch I C, VonderHaar T H. Data assimilation of satellite derived heating rates as proxy surface wetness data into a regional atmospheric mesoscale model. Part I: Methodology[J]. Monthly Weather Review, 1998,126:634-645.

[66]Jones A S, Guch I C, VonderHaar T H. Data assimilation of satellite derived heating rates as proxy surface wetness data into a regional atmospheric mesoscale model. II: Case study[J]. Monthly Weather Review, 1998,126:646-667.

[67]Caparrini F, Castelli F, Entekhabi D. Mapping of land-atmosphere heat fluxes and surface parameters with remote sensing data[J]. Boundary-layer Meteorology, 2003, 107:605-633.

[68]Caparrini F, Castelli F, Entekhabi D. Estimation of surface turbulent fluxes through assimilation of radiometric surface temperature sequences[J]. Journal of Hydrometeorology, 2004, 5:145-159.

[69]French A N, Jacob F, Anderson M C, et al.  Surface energy fluxes with the advanced spaceborne thermal emission and reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA)[J]. Remote Sensing of Environment, 2005, 99:55-65.

[70]Kalma J D, Calder I R. Land Surface Processes in Large Scale Hydrology[R]. World Meteorological Organization, Geneva, Switzerland, Operational Hydrology Report, 1994, 40: 60.

[71]Liu Yuanbo, Fu Qiaoni, Song Ping, et al. Satellite retrieval of precipitation: An overview[J]. Advances in Earth Science, 2011, 26(11): 1 162-1 172.[刘元波, 傅巧妮, 宋平, 等. 卫星遥感反演降水研究综述[J]. 地球科学进展, 2011, 26(11): 1 162-1 172.] 

[72]Liu Y, Hiyama T, Yasunari T, et al. A nonparametric approach to estimating terrestrial evaporation: Validation in eddy covariance sites[J]. Agricultural and Forest Meteorology, 2012, 157: 49-59.

[73]Wang Qiao, Wei Bin, Wang Changzuo, et al. Eco-envorinmental Monitoring Using HJ-1 Data[M]. Beijing: Science Press, 2010:10-50.[王桥, 魏斌, 王昌佐, 等. 基于环境一号卫星的生态环境遥感监测[M]. 北京: 科学出版社, 2010:10-50.]

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