区域遥感双源蒸散发模型研究进展
作者:
作者单位:

(南开大学环境科学与工程学院,天津 300350)

作者简介:

李晗(1993—),男,博士研究生,主要从事城市蒸散发研究。E-mail:lihan0220@mail.nankai.edu.cn 通信作者:黄津辉(1969—),女,教授,博士,主要从事城市水文、生态水文及生态修复研究。E-mail:huangj@nankai.edu.cn

中图分类号:

P426.2

基金项目:

国家重点研发计划(2016YFC0400709);国家自然科学青年基金(42101033);中国博士后科学基金(2021M691672)


Research progress on dual-source evapotranspiration models based on regional remote sensing
Author:
Affiliation:

(College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China)

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    摘要:

    系统回顾了基于热红外地表温度和基于阻抗过程的两类遥感双源蒸散发模型研究进展,综述了能量平衡模型、特征空间模型和基于阻抗过程模型的优缺点,提出在未来遥感蒸散发模型的开发过程中,应注重上述两类双源模型物理机制的结合,强化机器学习方法的应用, 在基于阻抗过程的蒸散发模型中加强与碳循环的耦合,进一步开发适用于城市区域的遥感蒸散发模型。

    Abstract:

    The progress on thermal infrared surface temperature-and impedance process-based remote sensing dual-source evapotranspiration models was systematically reviewed, and advantages and disadvantages of energy balance models, feature space models, and impedance process-based models were mainly introduced. It is proposed that in the future research of remote sensing evapotranspiration models, we should focus on the combination of physical mechanisms of the two types of dual-source models, strengthen the application of machine learning methods, and enhance the coupling with carbon cycle in impedance process-based evapotranspiration models, so as to further develop remote sensing evapotranspiration models applicable to urban areas.

    参考文献
    [1] 刘元波,邱国玉,张宏昇,等.陆域蒸散的测算理论方法:回顾与展望[J].中国科学:地球科学,2022,52(3):381-399.(LIU Yuanbo,QIU Guoyu,ZHANG Hongsheng,et al.Shifting from homogeneous to heterogeneous surfaces in estimating terrestrial evapotranspiration:review and perspectives[J].Science China Earth Sciences,2022,52(3):381-399.( in Chinese))
    [2] XU L,PIAO S L,HUNTINGFORD C,et al.Partitioning global land evapotranspiration using CMIP5 models constrained by observations[J].Nature Climate Change,2018,8(7):640-646.
    [3] 王卫光,黄茵,邢万秋,等.基于SPEI的海河流域干旱时空演变特征及环流成因分析[J].水资源保护,2020,36(3):8-13.(WANG Weiguang,HUANG Yin,XING Wanqiu,et al.Analysis of spatial and temporal evolution characteristics and circulation causes of drought in Haihe River Basin based on SPEI[J].Water Resources Protection,2020,36(3):8-13.( in Chinese))
    [4] 粟晓玲,梁筝.关中地区气象水文综合干旱指数及干旱时空特征[J].水资源保护,2019,35(4):17-23.(SU Xiaoling,LIANG Zheng.Meteorology-hydrology drought index and spatial and temporal characteristics of drought in Guanzhong area[J].Water Resources Protection,2019,35(4):17-23.( in Chinese))
    [5] 安彬,肖薇薇.汉江上游流域潜在蒸散量敏感性分析[J].水资源保护,2019,35(5):59-65.(AN Bin,XIAO Weiwei.Sensitivity analysis of potential evapotranspiration in upper Hanjiang River Basin[J].Water Resources Protection,2019,35(5):59-65.( in Chinese))
    [6] 陈晗,黄津辉.中国南方农田蒸散量实测及其影响因素分析[J].水资源保护,2017,33(6):79-86.(CHEN Han,HUANG Jinhui.Study on in-situ evapotranspiration measurement and its influential factors in farmland in Southern China[J].Water Resources Protection,2017,33(6):79-86.(in Chinese))
    [7] KOPPA A,DOMINIK R,PETRA H,et al.A deep learning-based hybrid model of global terrestrial evaporation[J].Nature Communication,2022,13(1):1-11.
    [8] LI J,PEI Y,ZHAO S,et al.A review of remote sensing for environmental monitoring in China[J].Remote Sensing,2020,12(7):1-25.
    [9] JUNG M,REICHSTEIN M,CIAISP,et al.Recent decline in the global land evapotranspiration trend due to limited moisture supply[J].Nature,2010,467(7318):951-954.
    [10] 陶然,张珂.基于PDSI的1982—2015年我国气象干旱特征及时空变化分析[J].水资源保护,2020,36(5):50-56.(TAO Ran,ZHANG Ke.PDSI-based analysis of characteristics and spatiotemporal changes of meteorological drought in China from 1982 to 2015[J].Water Resources Protection,2020,36(5):50-56.( in Chinese))
    [11] MU Q,ZHAO M,RUNNING S W.Improvements to a MODIS global terrestrial evapotranspiration algorithm[J].Remote Sensing of Environment,2011,115(8):1781-1800.
    [12] 温馨,周纪,刘绍民,等.基于多源产品的西南河流源区地表蒸散发时空特征[J].水资源保护,2021,37(3):32-42.(WEN Xin,ZHOU Ji,LIU Shaomin,et al.Spatio-temporal characteristics of surface evapotranspiration in source region of rivers in Southwest China based on multi-source products[J].Water Resources Protection,2021,37(3):32-42.( in Chinese))
    [13] XIANG K,LI Y,HORTON R,et al.Similarity and difference of potential evapotranspiration and reference crop evapotranspiration:a review[J].Agricultural Water Management,2020,232:106043.
    [14] 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.(GAO Yanchun,LONG Di.Progress in models for estimation using evapotranspiration remotely sensed data[J].Journal of Remote Sensing,2008,12(3):515-528.(in Chinese))
    [15] 李放,沈彦俊.地表遥感蒸散发模型研究进展[J].资源科学,2014,36(7):1478-1488.(LI Fang,SHEN Yanjun.Progress in remote sensing-based models for surface heat and water fluxes[J].Resources Science,2014,36(7):1478-1488.(in Chinese))
    [16] TIMMERMANS W J,KUSTAS W P,ANDERSON M C,et al.An intercomparison of the surface energy balance algorithm for land (SEBAL) and the two-source energy balance (TSEB) modeling schemes[J].Remote Sensing of Environment,2007,108(4):369-384.
    [17] CHEN H,HUANG J J,MCBEAN E,et al.Evaluation of alternative two-source remote sensing models in partitioning of land evapotranspiration[J].Journal of Hydrology,2021,597:126029.
    [18] NORMAN J M,KUSTAS W P,HUMES K S.Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature[J].Agricultural and Forest Meteorology,1995,77(3/4):263-293.
    [19] PRIESTLEY C,TAYLOR R J.On the assessment of surface heat flux and evaporation using large-scale parameters[J].Monthly Weather Review,1972,100(2):81-92.
    [20] 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(1):13-29.
    [21] 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(3):901-919.
    [22] 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:2.surface moisture climatology[J].Journal of Geophysical Research Atmospheres,2007,112(D11):1-13.
    [23] ANDERSON M C,NORMAN J M,KUSTAS W P,et al.A thermal-based remote sensing technique for routine mapping of land-surface carbon,water and energy fluxes from field to regional scales[J].Remote Sensing of Environment,2008,112(12):4227-4241.
    [24] RASMUS H,MARTHA C A, JOHN M N,et al.Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S.[J].Agricultural and Forest Meteorology,2009,149(12):1875-1895.
    [25] CAWSE N K,BRAVERMAN A,KANG E L,et al.Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm-DisALEXI[J].International Journal of Applied Earth Observation and Geoinformation,2020,89:102088.
    [26] CAMMALLERI M C,ANDERSON M C,CIRAOLO G,et al.Applications of a remote sensing-based two-source energy balance algorithm for mapping surface fluxes without in situ air temperature observation[J].Remote Sensing of Environment,2012,124:502-515.
    [27] LHOMME J P,CHEHBOUNI A.Comments on dual-source vegetation-atmosphere transfer models[J].Agricultural and Forest Meteorology,1999,94(3/4):269-273.
    [28] NORMAN J M,ANDERSON M C,KUSTAS W P,et al.Remote sensing of surface energy fluxes at 101-m pixel resolutions[J].Water Resources Research,2003,39(8):1-18.
    [29] NORMAN J M,KUSTAS W P,PRUEGER J H,et al.Surface flux estimation using radiometric temperature:a dual-temperature-difference method to minimize measurement errors[J].Water Resources Research,2000,36(8):2263-2274.
    [30] SNCHEZ J M,KUSTAS W P,CASELLES V,et al.Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations[J].Remote Sensing of Environment,2008,112(3):1130-1143.
    [31] 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(2):161-167.
    [32] GILLIES R R,KUSTAS W P,HUMES K S.A verification of the ‘triangle’ method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface[J].International Journal of Remote Sensing,1997,18(15):3145-3166.
    [33] SANDHOLT I,RASMUSSEN K,ANDERSEN J.A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J].Remote Sensing of Environment,2002,79(2/3):213-224.
    [34] NISHIDA K,NEMANI R R,RUNNING S W,et al.An operational remote sensing algorithm of land surface evaporation[J].Journal of Geophysical Research Atmospheres,2003,108(9):1-14.
    [35] 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[J].中国科学:地球科学,2004(增刊2):200-216.(ZHANG Renhua,SUN Xiaomin,WANG Weimin,et al.An operational two-layer remote sensing model to estimate surface flux in regional scale:physical background[J]Science China:Earth Sciences,2004,48(Sup 2):200-216.(in Chinese))
    [36] 宋立生,刘绍民,徐同仁,等.土壤蒸发和植被蒸腾遥感估算与验证[J].遥感学报,2017,21(6):966-981.(SONG Lisheng,LIU Shaomin,XU Tongren,et al.Soil evaporation and vegetation transpiration:remotely sensed estimation and validation[J].Journal of Remote Sensing,2017,21(6):966-981.( in Chinese))
    [37] LONG D,SINGH V P.A two-source trapezoid model for evapotranspiration (TTME) from satellite imagery[J].Remote Sensing of Environment,2012,121:370-388.
    [38] TANG R, LI Z.An end-member-based two-source approach for estimating land surface evapotranspiration from remote sensing data[J].IEEE Transactions on Geoscience and Remote Sensing,2017,55(10):5818-5832.
    [39] 唐荣林,王晟力,姜亚珍,等.基于地表温度:植被指数三角/梯形特征空间的地表蒸散发遥感反演综述[J].遥感学报,2021,25(1):65-82.(TANG Ronglin,WANG Shengli,JIANG Yazhen,et al.A review of retrieval of land surface evapotranspiration based on remotely sensed surface temperature versus vegetation index triangular/trapezoidal characteristic space [J].Journal of Remote Sensing,2021,25(1):65-82.( in Chinese))
    [40] YANG Y,SHANG S.A hybrid dual-source scheme and trapezoid framework-based evapotranspiration model (HTEM) using satellite images:algorithm and model test[J].Journal of Geophysical Research:Atmospheres, 2013,118(5):2284-2300.
    [41] YANG Y M,SU H B, ZHANG R H,et al.An enhanced two-source evapotranspiration model for land (ETEML):algorithm and evaluation[J].Remote Sensing of Environment,2015,168:54-65.
    [42] CHEN H,HUANG J J,BERG A,et al.Development of a trapezoidal framework-based model (PCALEP) for partition of land evapotranspiration[J].Journal of Hydrology,2020,589:124994
    [43] JIANG C Y,RYU Y,FANG H L,et al.Inconcistencies of interannual variability and trends in long-term satellite leaf area index products[J].Global Change Biology,2017,23(10):4133-4146.
    [44] CHEN J M,JU W M,CIAIS P,et al.Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink[J].Nature Communications,2019,10(1):1-7.
    [45] ZHANG Y,KONG D,GAN R,et al.Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017[J].Remote Sensing of Environment, 2019,222:165-182.
    [46] 陈镜明,柳竞先,罗翔中.基于碳水通量耦合原理改进Penman-Monteith蒸散发模型[J].大气科学学报,2020,43(1):59-75.(CHEN Jingming,LIU Jingxian,LUO Xiangzhong.Improving the Penman-Monteith evapotran-spiration model based on the coupling principle of carbon and water flux[J].Transactions of Atmospheric Sciences,2020,43(1):59-75.( in Chinese))
    [47] 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(4):519-536.
    [48] RYU Y,BALDOCCHI D D,KOBAYASHI H,et al.Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales[J].Global Biogeochemical Cycles,2011,25(4):1-24.
    [49] CHEN J M,LIU J,CIHLAR J,et al.Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications[J].Ecological Modelling,1999,124(2/3):99-119.
    [50] MYNENI R B,HOFFMAN S,KNYAZIKHIN Y,et al.Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data[J].Remote Sensing of Environment,2002,83(1/2):139-155.
    [51] CHEN J M,MENGES C H,LEBLANC S G.Global mapping of foliage clumping index using multi-angular satellite data[J].Remote Sensing of Environment,2005,97(4):447-457.
    [52] LUO X,CHEN J M,LIU J,et al.Compare big-leaf, two-big-leaf and two-leaf upscaling schemes for evapotranspiration estimation using coupled carbon water modeling[J].Journal of Geophysical Research Biogeosciences,2018,123(1):207-225.
    [53] CHEN J M,LIU J.Evolution of evapotranspiration models using thermal and shortwave remote sensing data[J].Remote Sensing of Environment,2020,237:111594.
    [54] MIERNECKI M,WIGNERON J P,LOPEZ-BAEZA E,et al.Comparison of SMOS and SMAP soil moisture retrieval approaches using tower-based radiometer data over a vineyard field[J].Remote Sensing of Environment,2014,154:89-101.
    [55] 刘堃,何祺胜,荆琛琳,等.基于机器学习的蒸散量插补方法[J].河海大学学报(自然科学版),2020,48(2):109-115.(LIU Kun,HE Qisheng,JING Chenlin,et al.Gap filling method for evapotranspiration based on machine learning[J].Journal of Hohai University (Natural Sciences),2020,48(2):109-115.( in Chinese))
    [56] CHEN H,HUANG J J,MCBEAN E.Partitioning of daily evapotranspiration using a modified Shuttleworth-Wallace model,random forest and support vector regression,for a cabbage farmland[J].Agricultural Water Management,2019,228:105923.
    [57] MAZROOEI A,REITZ M,WANG D B,et al.Urbanization impacts on evapotranspiration across various spatio-temporal scales[J].Earth's Future,2021,9(8):1-15.
    [58] SV A,FM B,ADRA,et al.Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence[J].Science of the Total Environment,2021,786:147293.
    [59] CHEN H,HUANG J J,SONAM S D,et al.Development of a three-source remote sensing model for estimation of urban evapotranspiration[J].Advances in Water Resources,2022,161:104126.
    [60] CHEN H,HUANG J J,SONAM S D,et al.Assessing the impact of urbanization on urban evapotranspiration and its components using a novel four-source energy balance model[J].Agricultural and Forest Meteorology,2022,316:108853.
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李晗,陈晗,黄津辉,等.区域遥感双源蒸散发模型研究进展[J].水资源保护,2022,38(4):87-94.(LI Han, CHEN Han, HUANG Jinhui, et al. Research progress on dual-source evapotranspiration models based on regional remote sensing[J]. Water Resources Protection,2022,38(4):87-94.(in Chinese))

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  • 收稿日期:2021-01-04
  • 在线发布日期: 2022-07-18