ADVANCES IN THE APPLICATION OF REMOTE SENSING TO EVAPOTRANSPIRATION RESEARCH
Received date: 2002-11-15
Revised date: 2003-04-09
Online published: 2004-02-01
Evapotranspiration is not only an important component in hydrological cycle, but also a main part of energy balance. Estimation of the evapotranspiration is essential for understanding the large-scale energy and water balance. Many methods, including traditional methods, land surface process model and remote sensing, have been developed to estimate evapotranspiration. For gaining large-scale land surface characteristic information, remote sensing techniques make it possible to estimate evapotranspiration quite accurately.
There are a lot of remote sensing methods to estimate evapotranspiration, which can be summarized as follows: statistical (empirical) and half-statistical models, physical models and numerical models and each method has its own advantages and disadvantages.
According to the present studies, most remote sensing methods mainly use visible, near-infrared and thermal infrared wave bands. The former two bands are used to estimate canopy density and albedo and thermal infrared band can provide information about land surface temperature. In recent studies, a few models have been developed to estimate land surface water status and land surface temperature by using microwave data instead of optical remotely sensed data. A lot of retrieval algorithms have been developed in retrieving land surface parameters such as albedo, land surface temperature and emissivity. For example, land surface temperature, an important land surface parameter, can be estimated well by means of split window technique.
Great progresses have been achieved in the application of remote sensing technology to evapotranspiration research, but some problems must be resolved to improve the precision of these evapotranspiration models. ①The energy fluxes change of hourly, daily even longer time scale from observations of remote sensing are instantaneous. ②Air temperature of each pixel can not be obtained directly while most models are sensitive to difference of surface radiative temperature and air temperature. ③ Influences of atmospheric correct, radiation calibration and observing angle to the measurement of surface radiative temperature are not well known. ④Continuous calculation of surface fluxes is very important, but the exist of cloud makes satellite observation discontinuous. ⑤Satellites (such as NOAA and GOES) of big pixel scale (1～4 km) have enough observing frequency, but heterogeneous sub-pixel makes observation uncertainty. With the data of series of new EOS sensors, there will be new hope for evapotranspiration study.
GUO XiaoYin，CHENG GuoDong . ADVANCES IN THE APPLICATION OF REMOTE SENSING TO EVAPOTRANSPIRATION RESEARCH[J]. Advances in Earth Science, 2004 , 19(1) : 107 -114 . DOI: 10.11867/j.issn.1001-8166.2004.01.0107
［1］ Burman R，Pochop L O. Evaporation, Evapotranspiration and Climate Data［Ｍ］.The Netherlands：Elsevier Science, 1994.
［2］ Rosenberg N J, Blad B L，Verma S B. Microclimatethe Biological Environment of Plants［Ｍ］. New York：John Wiley & Sons, 1983.
［3］ Kustas W P, Norman J M. Use of remote sensing for evapotranspiration monitoring over land surfaces［Ｊ］. Hydrological Sciences Journal, 1996, 41(4): 495-516.
［4］ Pei Buxiang（裴步祥）. Measurement and Calculation of Evaporation and Evapotranspiration［Ｍ］. Beijing: Meteorology Press, 1989. 1-28(in Chinese).
［5］ Sellers P J, Mintz Y, Sud Y C, et al. A simple biosphere model(SiB) for use within general circulation models［Ｊ］. Journal of the Atmospher
ic Sciences, 1986, 43: 505-531.
［6］ Sellers P J, Randall D A, Collatz G J, et al. A revised land surface paramterization(SiB2) for atmospheric GCMs Part1: Model formulation［Ｊ］. Journal of Climate, 1996, 9: 738-763.
［7］ Dickinson R E. Land processes in climate models［Ｊ］. Remote Sensing of Environment, 1995, 51: 27-38.
［8］ Brutsaert W. Evaporation into the Atmosphere［Ｍ］. The Netherlands：Reidel, Dordrecht, 1982.
［9］ Jackson R D, Reginato R J, Idso S B. Wheat canopy temperature: Apractical tool for evaluating water requirements［Ｊ］. Water Resources research, 1977, 13(3): 651-656.
［10］ Seguin B, Itier B. Using midday surface temperature to estimatedaily evaporation from satellite thermal IR data［Ｊ］. International Journal of Remote Sensing, 1983, 4(2): 371-383.
［11］ Gurney R J, Camillo P J. Modelling daily evapotranspiration using remotely sensed data［Ｊ］.Journal of Hydrology,1984, 69: 305-324.
［12］ Riou Ch, Itier B, Seguin B. The influence of surface roughness on simplified relationship between daily evaporation and surface temperature［Ｊ］. International Journal of Remote Sensing, 1988, 9(9): 1 529-1 533.
［13］ Vidal A, Perrier A. Analysis of a simplified relation for estimating daily evapotranspiration from satellite thermal IR data［Ｊ］. International Journal of Remote Sensing, 1989, 10(8): 1 327-1 337.
［14］ Seguin B, Assad E, Freaud J P, et al. Use of meterological satellites for rainfall and evaporation monitoring［Ｊ］. International Journal of Remote Sensing, 1989, 10: 847-854.
［15］ Lagouarde J P. Use of NOAA AVHRR data combined with an agrometeorological model for evaporation mapping［Ｊ］. International Journal of Remote Sensing, 1991, 12(9): 1 853-1 864.
［16］ Lagouarde J P, McAneney K J. Daily sensible heat flux estimation from a single measurement of surface temperature and maximum air temperature［Ｊ］. Boundary Layer Meteorology, 1992, 44: 245-260.
［17］ Bussières N, Granger R J, Strong G S. Estimates of regional evapotranspiration using GOES7 satellite data: Saskatchewan case study, July 1991［Ｊ］.Canadian Journal of Remote Sensing, 1997, 23(1): 3-14.
［18］ Caselles V, Artigao M M, Hurtado E, et al. Mapping actual evapotranspiration by combining landsat TM and NOAAAVHRR images: Application to the Barrax area, Albacete, Spain［Ｊ］. Remote Sensing of Environment, 1998, 63(1): 1-10.
［19］ Carlson T N, Capehart W J, Gillies R R. A new look at the simplified method for remote sensing of daily evapotranspiration［Ｊ］. Remote Sensing of Environment, 1995, 54: 161-167.
［20］ Jackson R D. Estimating evapotranspiration at local and regional scales［Ｊ］.IEEE Transactions on Geoscience and Remote Sensing, 1985, GE-73:1 086-1 095.
［21］ Gash J H C. An analytical framework for extrapolating evaporation measurements by remote sensing surface temperature［Ｊ］.International Journal of Remote Sensing,1987, 8(8): 1 245-1 249.
［22］ Kustas W P, Moran M S, Jackson R D,et al. Instantaneous and daily values of the surface energy balance over agricultural fields using remote sensing and a reference field in an arid environment［Ｊ］. Remote Sensing of Environment, 1990, 32: 125-141.
［23］ Menenti M, Bastiaassen W G M, Van Eick D. Linear relationships between surface reflectance and temperature and their application to map actual evaporation of groundwater［Ｊ］. Advances in Space Research,1989, 9(1): 165-176.
［24］ Humes K S, Kustas W P, Moran M S. Use of remote sensing and reference site measurements to estimate instaneous surface energy balance components over a semiarid rangeland watershed［Ｊ］.Water Resources Research, 1994, 30(5): 1 363-1 373.
［25］ Nemani R R, Running S W. Estimation of regional surface resistance to evapotranspiration from NDVI and ThermalIR AVHRR data［Ｊ］. Journal of Applied Meteorology, 1989, 28: 276-284.
［26］ Hope A S, McDowell T P. The relationship between surface temperature and spectral vegetation index of a tallgrass prairie: effects of burning and other landscape controls［Ｊ］. International Journal of Remote Sensing, 1992, 13(15): 2 849-2 863.
［27］ Kustas W P, Daughtry C S T, van Oevelen P J. Analytical treatment of the relationships between soil heat flux/net radiation ratio and vegetation indices［Ｊ］.Remote Sensing of Environment, 1993, 46: 319-330.
［28］ Price J C. The potential of remotely sensed thermal infrared data to infer surface soil moisture and evaporation［Ｊ］.Water Resources Research, 1980, 16(4): 787-795.
［29］ Price J C. Estimation of regional scale evapotranspiration through analysis of satellite thermalinfrared data［Ｊ］. IEEE Transactions on Geoscience and Remote Sensing, 1982, GE20(3): 286-292.
［30］ Choudhury B J, Reginato J R, Idso S B. An analysis of infrared temperature obervations over wheat and calculation of latent heat flux［Ｊ］. Agricultural and Forest Meteorology,1986, 37: 75-88.
［31］ Huband N D S, Monteith J L. Radiative surface temperature and energy balance of a wheat canopy Part I: Comparison of radiative and aerodynamic canopy temperature［Ｊ］. Boundary Layer Meteorology, 1986, 36: 1-17.
［32］ Kustas W P. Estimates of evapotranspiration with a one and two layer model of heat transfer over partial canopy cover［Ｊ］.Journal of Applied Meteorology, 1990, 29: 704-715.
［33］ Kustas W P, Choudhury B J, Moran M S, et al. Determination of sensible heat flux over sparse capony using thermal infrared data［Ｊ］. Agricultural and Forest Meteorology, 1989, 44: 197-216.
［34］ Sugita M, Brutsaert W. Regional surface fluxes from remotely sensed skin temperature and lower boundary layer measurements［Ｊ］.Water Resources Research, 1990, 26: 2 937-2 944.
［35］ Kohsiek W, de Bruin H A R, The H,et al. Estimation of the sensible heat flux of semiarid area using surface radiative temperature measure
ments［Ｊ］. Boundary Layer Meteorology, 1993, 63: 213-230.
［36］ Sun J, Mahrt L. Determination of surface fluxes from the surface radiative temperature［Ｊ］. Journal of the Atmopheric Sciences, 1995, 52(8): 1096-1 106.
［37］ Troufleau D, Lhomme J P, Monteny B,et al. Sensible heat flux and radiometric surface temperature over sparse Sahelian vegetation, I An experimental analysis of the kB1 parameter［Ｊ］. Jounal of Hydrology, 1997, 188~189: 815-838.
［38］ Lhomme JP, Monteny B, Amadou M. Estimating sensible heat flux from radiometric temperature over sparse millet［Ｊ］. Agricultural and Forest Meteorology, 1994, 68: 77-91.
［39］ Norman J M, Kustas W P, Humes K S. A twosource approach forestimating soil and vegetation energy fluxes from observation of directional radiometric surface temperature［Ｊ］. Agricultural and Forest Meteorology,1995, 77: 263-293.
［40］ Zhan X, Kustas W P, Humes K S. An intercomparison study on model of sensible heat flux over partial canopy surfaces with remotely sensed surface temperature［Ｊ］. Remote Sensing of Environment,1996, 58: 242-256.
［41］ Soer G J R. Estimation of regional evapotranspiration and soil moisture conditions using remotely sensed crop surface temperature［Ｊ］. Remote Sensing of Environment, 1980, 9(1): 27-45.
［42］ Camillo P J, Gurney R J, Schmugge T J. A soil and atmospheric boundary layer model for evapotranspiration and soil moisture studies［Ｊ］.Water Resources Research, 1983, 19: 371-380.
［43］ Carlson T N, Dodd J K, Benjamin S G, et al. Satellite estimation of the surface energy balance, moisture availability and thermal inertia［Ｊ］.Journal of Applied Meteorology,1981, 20: 67-87.
［44］ Taconet O, Carlson T, Bernard R, et al. Evaluation of a surface/vegetation parameterization using satellite measurements of surface temperature［Ｊ］. Journal of Climate and Applied Meteorology, 1986, 25: 1 752-1 767.
［45］ Bougeault P, Noilhan J, Lacarrère P,et al. An experiment with an advaced surface parameterization in a mesobetascale model Part I: Implementation［Ｊ］.Monthly Weather Reviews, 1991, 119: 2 358-2 373.
［46］ Brunet Y, Nunez M, Lagouarde JP. A simple method for estimating regional evapotranspiration from infrared surface temperature［Ｊ］. Photogrammetric Engineering and Remote Sensing, 1991, 46: 311-327.
［47］ Pinty B, Ramond D A. A method for the estimate of broadband directional surface albedo from a geostationary satellite［Ｊ］. Journal of Climate and Applied Meteorology, 1987, 26: 1 709-1 722.
［48］ Brest C L, Goward S N. Deriving surface albedo measurements from narrow band satellite data［Ｊ］. International Journal of Remote Sensing, 1987, 8: 349-367.
［49］ Song J, Gao W. An improved method to derive surface albedo from narrowband AVHRR Satellite data: Narrowband to broadband conversion［Ｊ］. Journal of Applied Meteorology, 1999, 38:239-249.
［50］ Wu Aisheng(吴艾笙), Zhong Qiang(钟强). Seasonal variation of surface albedo and vegetation index over HEIHE experimental area［Ｊ］.Plateau Meteorology(高原气象), 1992, 11(4): 440-450(in Chinese).
［51］ Wang Jiemin(王介民), Ma Yaoming(马耀明). The study of processes in the heterogeneous landscape of HEIHE with the aid of satellite remote sensing［Ｊ］. Remote Sensing Technology and Application(遥感技术与应用), 1995, 10(3): 19-26.
［52］ Tian Qingjiu(田庆久), Min Xiangjun(闵祥军). Advances in study on vegetation indices［Ｊ］. Advance in Earth Sciences(地球科学进展), 1998, 13(4): 327-333(in Chinese).
［53］ Jia Li(贾立), Wang Jiemin(王介民). The area distribution and seasonal variation of NDVI over HEIHE area［Ｊ］. Plateau Meteorology(高原气象), 1999, 18(2): 245249(in Chinese).
［54］ Prabhakara C, Daul G, Kunde V G. Estimation of sea surface temperature from remote sensing in the 11um to 13 um window region［Ｊ］. Journal of Geophysical Research, 1974, 79: 5 039-5 044.
［55］ McMillin L M. Estimation of sea surface temperature from two infrared window measurements with different absorption［Ｊ］. Journal of Geophysical Research,1975, 36: 5 113-5 117.
［56］ Deschamps P Y, Phulpin T. Atmospheric corrections of infrared measurements of sea surface temperature using channels at 3.7, 11 and 12 μm［Ｊ］.Boundary Layer Meteorology, 1980, 18: 131-143.
［57］ McClain E P, Pichel W G, Walton C C. Comparative performance of AVHRRbased multichannel sea surface temperature［Ｊ］. Journal of Geophysical Research, 1985, C6: 11 587-11 601.
［58］ Price J C. Land surface temperature measurement from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer［Ｊ］. Journal of Geophysical Research,1984, 89(D5): 7 231-7 237.
［59］ Becker F, Li ZL. Temperature independent spectral indices in thermal infrared bands［Ｊ］. Remote Sensing of Environment, 1990, 32: 17-33.
［60］ Prata A J, Caselles V, Coll C, et al. Thermal remote sensing of land surface temperatures from satellites: Current status and future prospects［Ｊ］.Remote Sensing Reviews, 1995, 12: 175-224.
［61］ Coll C, Caselles V. A splitwindow algorithm for land surface temperature from advanced very high resolution radiometer data: Validation and algorithm comparision［Ｊ］. Journal of Geophysical Research,1997, 102(D14): 16 697-16 713.
［62］ Sobrino J A, Raissouni N, Lobo A. Monitoring the Iberian Peninsula land cover using NOAAAVHRR data［Ａ］. In: Guyot, Phulpin, eds. Physical Measurements and Signatures in Remote Sensing［Ｃ］. Rotterdam: Balkema, 1997. 787-794.
［63］ Sobrino J A, Raissouni N. Toward remote sensing methods for land cover dynamic monitoring: application to Morocco［Ｊ］.International Journal of Remote Sensing, 2000, 21(2): 353-366.
［64］ Becker F, Li ZL. Surface temperature and emissivity at various scales: Definition, measurements and related problems［Ｊ］. Remote Sensing Reviews, 1995, 12: 225-253.
［65］ Van De Griend A A, Owe M. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces［Ｊ］.International Journal of Remote Sensing, 1993, 14(6): 1 119-1 131.
［66］ Chanzy A, Kustas W P. Evaporation monitoring over land surface using microwave radiometry［Ａ］. In: Choudhury B J, et al eds. ESA/NASA International Workshop［Ｃ］. The Netherlands : VSP, Utrecht, 1994. 531-550.
［67］ Jackson T J, O'Neill P E, Kustas W P, et al.Passive microwave observation of diural soil moisture at 1.4 and 2.65 GHz［Ａ］. In: Proceeding of 1995 International Geoscience and Remote Sensing Symposium［C］.IEEE, 1995, I: 492-494.
［68］ Troufleau D, Vidal A, Beaudoin A, et al, Using opticalmicrowave synergy for estimating surface energy fluxes over semiarid rangeland［Ａ］. In: Proceeding of Physical Measurements and Signatures in Remote Sensing［Ｃ］. France: Val d'lsere, 1994.1 167-1 174.
［69］ Moran M S, Vidal A, Troufleau D, et al. Combining multifrequency microwave and optical data for farm management［Ｊ］. Remote Sensing of Environment, 1997, 61: 96-109.
［70］Zhang Renhua(张仁华). Analysis and experiments of evapotranspiration model on remote sensing［Ａ］. In: Zuo Dakang(左大康), Xie Xianqun(谢贤群), eds. Experimental Study of the Field Evapotranspiration1［Ｃ］. Beijing: Meteorology Press, 1991. 111-118(in Chinese).
［71］Zhang Renhua(张仁华). A model for calculating evapotranspiration using crop spectrum and canopy surface temperature［Ａ］. In: Zuo Dakang(左大康), Xie Xianqun(谢贤群), eds. Experimental Study of the Field Evapotranspiration1［Ｃ］. Beijing: Meteorology Press, 1991. 119-127(in Chinese).
［72］Chen Jingming(陈镜明). An chief defect of modern remote sensing evapotranspiration model and its improvement［Ｊ］.Chinese Science Bulletin(科学通报), 1988，6:454-457.
［73］Chen Yunhao(陈云浩), Li Xiaobing(李晓兵), Shi Peijun(史培军). Regional evapotranspiration estimation over Northwest China using remote sensing［Ｊ］. Acta Geographica Sinica(地理学报), 2001, 56(3): 261-268.
［74］ Xie Xianqun(谢贤群). Estimation of daily evapotranspiration(ET) from one timeofday remotely sensed canopy temperature［Ｊ］. Remote Sensing of Environment China(环境遥感),1991，6（4）: 253-259(in Chinese).
［75］ Chen Qian(陈乾), Chen Tianyu(陈添宇). Estimation of river basin evapotranspiration over complex terrain using NOAA AVHRR data［Ｊ］. Acta Geographica Sinica(地理学报), 1993, 48(1): 61-69(in Chinese).
［76］ Ma Yaoming(马耀明), Wang Jiemin(王介民), Menenti M, et al. Estimation of flux densities over the heterogeneous land surface with the aid of satellite remote sensing and field observation［Ｊ］. Acta Meteorologica Sinica(气象学报),1999, 57(2): 180-189(in Chinese).
［77］ Seguin B, Lagourde J P, Svane M. The assessment of regional crop water conditions from meteorological satellite thermal infrared data［Ｊ］.Remote Sensing of Environment, 1991, 35(2～3): 141-148.
［78］ Ottlé C, VidalMadjar D. Assimilation of soil moisture inferred from infrared remote sensing in a hydrological model over the HAPEXMOBILHY region［Ｊ］. Journal of Hydrology, 1994, 158(3～4): 241-264.
［79］ Gillies R R, Carlson T N. Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models［Ｊ］.Journal of Applied Meteorology, 1995, 34: 745-756.
［80］ Olioso A, Chauki H, Courault D, et al. Estimates of Evapotranspiration and Photosynthesis by Assimilation of Remote Sensing Data into SVAT Models［Ｊ］.Remote Sensing of Environment, 1999, 68: 341-356.
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