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REMOTE SENSING FOR LAND & RESOURCES    2011, Vol. 23 Issue (3) : 117-122     DOI: 10.6046/gtzyyg.2011.03.21
Technology Application |
Remote Sensing Estimation of Evapotranspiration Quantity and Analysis of Space-time Structure over Shiyang River Basin
LIU Chun-yu, ZHAO Jun, LIU Ying-ying, WEI Wei
College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
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Abstract  

By adopting the energy equilibrium theory,MODIS image data were applied to the inversion of the surface Evapotranspiration (ET) in Shiyang River basin,and the average daily ET in Shiyang River basin in January,April,July and October was estimated respectively. It is shown that ET in January is 0.15~7.21 mm; ET in April is 0.89~7.86 mm; ET in July is 0.12~9.08 mm and ET in October is 0.54~8.33 mm, mainly distributed in the Dajing Rriver,Gulang River,Huangyang River,Zamu River,Jinta River,Xiying River,Dongda River,Xida River and the water around Qilian Mountain area. The method of fractal image section line was used to describe the local and micro-structure characteristics of the remote sensing ET in the study area,thus the differences and trends of ET spatial distribution were understood(in January and July,the profile line of fractal number is larger,the profile curve undulates up and down,the ET gradient is bigger and distributed unevenly; in April and October,the profile line fractal number is less than that of January and July,the profile curve is quite gentle,and the ET level is smaller and distributed uniformly). The actual ET was calculated by using the FAO Penman-Monteith equation,and the indirect precision evaluation was made for the remote sensing ET. The results show that the estimated ET results are reasonable and have high precision.

Keywords CHRIS/PROBA      Sparse grassland      Leaf Area Index (LAI)      A two-layer Canopy Reflectance Model(ACRM)     
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TP 79

 
Issue Date: 07 September 2011
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LI Xin-hui
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LI Xin-hui,SONG Xiao-ning,LENG Pei. Remote Sensing Estimation of Evapotranspiration Quantity and Analysis of Space-time Structure over Shiyang River Basin[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(3): 117-122.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.03.21     OR     https://www.gtzyyg.com/EN/Y2011/V23/I3/117


[1] 潘竟虎,刘春雨.基于TSEB平行模型的黄土丘陵沟壑区蒸散发遥感估算
[J].遥感技术与应用,2010,25(2):183-188.

[2] Wang J M,Bastiaanssen W G M,Ma Y M,et al.Aggregation of Land Surface Parameters in the Oasis-Desert Systems of Northwest China
[J].Hydrological Processes,1998,12(13-14):2133-2147.

[3] Ma Y M,Tsukamoto O,Ishikawa H.Remote Sensing Parameterization of the Processes of Energy and Water Cycle over Desertification Area
[J].Science in China Series D:Earth Sciences,2002,45(S1):47-53.

[4] 周剑,程国栋,李新,等.应用遥感技术反演流域尺度的蒸散发
[J].水利学报,2009,40(6):679-686.

[5] 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,Oceansand Atmosphere,2000,25(2):147-157.

[6] 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):1041-1051.

[7] 张晓涛,康绍忠,王鹏新,等.估算区域蒸发蒸腾量的遥感模型对比分析
[J].农业工程学报,2006,22(7):6-13.

[8] Su Z.The Surface Energy Balance System(SEBS)for Estimation of Turbulent Heat Fluxes
[J].Hydrology and Earth System Sciences,2002,6(1):85-89.

[9] 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.

[10] Zhang X,Kustas W P,Humes K S.An Intercomparison Study on Models of Sensible Heat Flux over Partial Canopy Surfaces with Remotely Sensed Surface Temperature
[J].Remote Sensing of Environment,1996,58(3):242-256.

[11] Trouflleau D,Lhomme J P,Montery B,et al.Sensible Heat Flux and Radiometric Surface Temperature over Sparse Sehelian Vegetation I:an Experimental Analysis of the Kb-1 Parameter
[J].Journal of Hydrology,1996,188-189:815-838.

[12] Zhang L,Lemeur R,Goutorbe J P.A One-Layer Resistance Model for Estimating Regional Evapotranspiration Using Remote Sensing Data
[J].Agricultural and Forest Meteorology,1995,77(3-4):241-261.

[13] 李红军,雷玉平,郑力,等.SEBAL模型及其在区域蒸散研究中的应用
[J].遥感技术与应用,2005,20(3):321-325.

[14] 刘朝顺,高志强,高炜.基于遥感的蒸散发及地表温度对LUCC响应的研究
[J].农业工程学报,2007,23(8):1-8.

[15] 马耀明,刘东升,王介民.卫星遥感敦煌地区地表特征参数研究
[J].高原气象,2003,22(6):531-536.

[16] Liang S L.Narrowband to Broadband Conversions of Land Surface Albedo I:Algorithms
[J].Remote Sensing of Environment,2001,76(2):213-238.

[17] Liang S L,Shuey C J,Russ A L,et al.Narrowband to Broadband Conversions of Land Surface Albedo:II Validation
[J].Remote Sensing of Environment,2002,84:25-41.

[18] 潘竟虎,刘春雨.黄土丘陵沟壑区小流域蒸散发的遥感估算——以静宁县魏沟流域为例
[J].西北师范大学学报:自然科学版,2008,44(5):88-93.

[19] Bastiaanssen W G M.SEBAL-Based Sensible and Latent Heat Fluxes in the Irrigated Gediz Basin Turkey
[J].Journal of Hydrology,2000,229(1-2):87-101.

[20] 赵军,李旺平,李飞.黄土高原太阳总辐射气候学计算及特征分析
[J].干旱区研究,2008,25(1):53-58.

[21] 李守波,赵传燕.基于能量平衡的关川河流域蒸散发的遥感反演
[J].遥感技术与应用,2006,21(6):521-526.

[22] 倪猛,陈波,岳建华,等.洛河流域蒸散发遥感反演及其与各参数的相关性分析
[J].地理与地理信息科学,2007,23(6):34-37.

[23] 郭晓寅,程国栋.遥感技术应用于地表面蒸散发的研究进展
[J].地球科学进展,2004,19(1):107-114.

[24] Li F Q,Lyons T J.Remote Estimation of Regional Evapotranspiration
[J].Environmental Modelling & Software,2002,17(1):61-75.

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