摘要
蒸散发(ET)是干旱和半干旱地区生态水文循环过程的重要因素。Landsat8数据的波谱信息丰富、空间分辨率高,是通过遥感技术反演蒸散发的理想数据源。SEBAL模型是以陆面能量平衡为基础,物理意义明确;但净辐射估算影响其估算精度。研究详细阐述了基于Landsat8数据的辐射模块耦合SEBAL模型,旨在提高反演结果精度,满足在水文、生态和农业研究应用中的需要。
The evapotranspiration( ET) is important factor of the eco-hydrological process in arid and semi-arid region. The Landsat8 product which has abundant spectral information and high spatial resolution is an ideal data for inverting ET through remote sensing technology. The Surface Energy Balance Algorithms for Land( SEBAL) model based on land surface energy balance has clear physical meaning,but the accuracy of estimated ET using SEBAL model is sensitive to the accurate estimates of net radiation. To this end,a new radiation module to utilize landsat8 product has been coupled with SEBAL to better estimate ET. This study can improve the accuracy of the inverting ET and meet the needs in hydrology,ecology and agriculture studies.
引文
[1]BURBA G G,VERMA S B.Seasonal and interannual variability in evapotranspiration of native tallgrass prairie and cultivated wheat ecosystems[J].Agricultural&Forest Meteorology,2005,135(1-4):190-201.
[2]Howell T A,Schneider A D,Jensen M E.History of lysimeter design and use for evapotranspiration measurements[C]∥Lysimeters for E-vapotranspiration and Environmental Measurements,Honolulu,1991.
[3]BOWEN I S.The ratio of heat losses by conduction and by evaporation from any water surface[J].Physical Review,1926,27(6):779-787.
[4]DYER A J.,Measurements of evaporation and heat transfer in the lower atmosphere by an automatic eddy-correlation technique[J].Quarterly Journal of the Royal Meteorological Society,1961,87(373):401-412.
[5]RANA G,KATERJI N.Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate:a review[J].European Journal of Agronomy,2000,13(2-3):125-153.
[6]LI Zhouyuan,LIU Xuehua,MA Tianxiao,et al.,Retrieval of the surface evapotranspiration patterns in the alpine grassland-wetland ecosystem applying SEBAL model in the source region of the Yellow River,China[J].Ecological Modelling,2013,270:64-75.
[7]BASTIAANSSEN W G M,MENENTI 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.
[8]BASTIAANSSEN W G M,PELGRUM H,WANG J,et al.A remote sensing surface energy balance algorithm for land(SEBAL):Part 2:Validation[J].Journal of Hydrology,1998,212-213:213-229.
[9]ALLEN RG,TASUMI M,TREZZA R.Satellite-based energy balance for mapping evapotranspiration with internalized calibration(MET-RIC)-model[J].Journal of Irrigation and Drainage Engineering,2007,133(4):380-394.
[10]LONG Di,SINGH V P.A modified surface energy balance algorithm for land(M-SEBAL)based on a trapezoidal framework[J].Water Resources Research,2012,48(2):25-28.
[11]KIPTALA J K,MOHAMED Y,MUL M L,et al.Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in Eastern Africa[J].Water Resources Research,2013,49(12):8495-8510.
[12]LONG Di,SINGH V P,LI Zhaoliang.How sensitive is SEBAL to changes in input variables,domain size and satellite sensor?[J].Journal of Geophysical Research Atmospheres,2011,116(D21107):1-20.
[13]LONG Di,GAO Yanchun,SINGH V P.Estimation of daily average net radiation from MODIS data and DEM over the Baiyangdian watershed in North China for clear sky days[J].Journal of Hydrology,2010,388(3-4):217-233.
[14]BISHT G,BRAS R L.Estimation of net radiation from the MODISdata under all sky conditions:Southern Great Plains case study[J].Remote Sensing of Environment,2010,114(7):1522-1534.
[15]DIAK G R,MECIKALSKI J R,ANDERSON M,et al.Estimating land surface energy budgets from space:review and current efforts at the University of Wisconsin-Madison and USDA-ARS[J].Bulletin of the American Meteorological Society,2004,85(1):65-78.
[16]陈玲.基于改进的SEBAL模型估算区域蒸散发[D].兰州:兰州大学,2007.
[17]BISHT G,VENTURINI V,ISLAM S,et al.Estimation of the net radiation using MODIS(moderate resolution imaging spectroradiometer)data for clear sky days[J].Remote Sensing of Environment,2005,97(1):52-67.
[18]JACKSON R D,HATFIELD J L,REGINATO R J,et al.Estimation of daily evapotranspiration from one time-of-day measurements[J].Agricultural Water Management,1983,7(1-3):351-362.
[19]NIEMELS,RISNEN P,SAVIJRVI H.Comparison of surface radiative flux parameterizations:Part I:Longwave radiation[J].Atmospheric Research,2001,58(1):1-18.
[20]ZILLMAN J W.A study of some aspects of the radiation and heat budgets of the southern hemisphere oceans[C]∥Usenix Technical Conference,Australian Government Publishing Service,1972.
[21]王猛猛,何国金,张兆明,等.基于Landsat 8 TIRS数据的大气水汽含量反演劈窗算法[J].遥感技术与应用,2017,32(1):166-172.
[22]宋挺,段峥,刘志军,等.Landsat 8数据地表温度反演算法对比[J].遥感学报,2015,19(3):451-464.
[23]WAN Z,LI Z L.A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data[J].IEEETransactions on Geoscience and Remote Sensing,1997,35(4):980-996.
[24]JIMNEZ-MUOZ J-C,SOBRINO J,SKOKOVIC D,et al.,Land surface temperature retrieval methods from Landsat-8 thermal infrared sensor data[J].IEEE Geoscience&Remote Sensing Letters,2014,11(10):1840-1843.
[25]SOBRINO J A,LI Zhaoliang,STOLL P M,et al.Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data[J].International Journal of Remote Sensing,1996,17(11):2089-2114.
[26]KEEFER T O,MORAN M S,PAIGE G B.Long-term meteorological and soil hydrology database,Walnut Gulch Experimental Watershed,Arizona,United States[J].Water Resources Research,2008,44(5):570-575.
[27]HEILMAN P,NICHOLS M H,GOODRICH D,et al.Geographic information systems database,Walnut Gulch Experimental Watershed,Arizona,United States[J].Water Resources Research,2008,44(5):61-74.
[28]MORAN M S,GOODRICH D C,KUSTAS W P.Integration of remote sensing and hydrologic modeling through multi-disciplinary semiarid field campaigns:Moonsoon 1990,Walnut Gulch 1992,and SALSA-MEX[R].NASA Technical Reports,USA,1994.
[29]EMMERICH W E,VERDUGO C L.Long-term carbon dioxide and water flux database,Walnut Gulch Experimental Watershed,Arizona,United States[J].Water Resources Research,2008,44(5):240-244.