中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integrating soil moisture retrieved from L-band microwave radiation into an energy balance model to improve evapotranspiration estimation on the irrigated oases of arid regions in northwest China

文献类型:期刊论文

作者Li, Yan1; Zhou, Jian2; Wang, Haijing3,4; Li, Dazhi2; Jin, Rui2; Zhou, Yanzhao2; Zhou, Qingguo1
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2015-12-15
卷号214页码:306-318
关键词Evapotranspiration (ET) Soil moisture Remote sensing Arid and semi-arid regions
ISSN号0168-1923
DOI10.1016/j.agrformet.2015.08.260
通讯作者Zhou, Jian(zhoujian@lzb.ac.cn)
英文摘要Irrigated oases are the main water consumers in arid and semi-arid regions. As plant evapotranspiration (ET) in these regions mainly depends on irrigated water, accurate quantification of evapotranspiration (ET) on the irrigated oases is crucial for allocation and management of irrigation water resources. In this study, we integrated the soil moisture retrieved from Polarimetric L-band Multibeam Radiometer (PLMR) into the Surface Energy Balance System (SEBS) model for improving ET estimates under water stress conditions. The study area is the irrigated oasis in the middle reaches of the Heihe River where airborne and satellite-borne remotely sensed data as well as in situ observations are available through the Heihe Watershed Allied Telemetry Experimental Research (Hi WATER). The main goal of this experiment is to monitor the energy-water exchange between near-surface atmosphere and land surface, and to assess its influencing factors within the oasis-desert ecosystem. The soil moisture data were retrieved using the L-band Microwave Emission of the Biosphere (L-MEB) model fed with the airborne dual-polarized and multi-angular viewing of PLMR. The comparison of soil moisture retrieval from PLMR data with the soil moisture measured by a wireless sensor network (WSN) showed good consistency, with an absolute mean error (ME) <0.004 cm(3) cm(-3) and a root mean square error (RMSE) value <0.05 cm(3) cm(-3). Further, the actual daily evapotranspiration was estimated using the soil moisture integrated (SM-integrated) SEBS algorithm fed with the Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) images and soil moisture data retrieved from PLMR data. The sensible heat fluxes and daily evapotranspiration-(ETdatiy) obtained by the SM-integrated SEBS and the original SEBS were compared with the eddy correlation (EC) measurements collected from HiWATER experiment. The results indicate an obvious improvement when soil moisture information is integrated into the SEBS. This method overcomes the weakness of remote sensing based (RS-based) surface energy balance models of overestimating evapotranspiration particularly in semi-arid and arid regions. It shows a prospect that the combination of optical and microwave remote sensing can further improve the RS-based ET estimation. (C) 2015 Elsevier B.V. All rights reserved.
收录类别SCI
WOS关键词SPACEBORNE THERMAL EMISSION ; REFLECTION RADIOMETER ASTER ; REMOTELY-SENSED DATA ; SYSTEM SEBS ; LAND-SURFACE ; SEMIARID CLIMATE ; ROUGHNESS HEIGHT ; TIBETAN PLATEAU ; WATER-STRESS ; HEAT-FLUX
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000364730000028
出版者ELSEVIER SCIENCE BV
URI标识http://www.irgrid.ac.cn/handle/1471x/2557205
专题寒区旱区环境与工程研究所
通讯作者Zhou, Jian
作者单位1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China
3.ETH, Inst Environm Engn, CH-8093 Zurich, Switzerland
4.Hydrosolutions, CH-8006 Zurich, Switzerland
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GB/T 7714
Li, Yan,Zhou, Jian,Wang, Haijing,et al. Integrating soil moisture retrieved from L-band microwave radiation into an energy balance model to improve evapotranspiration estimation on the irrigated oases of arid regions in northwest China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2015,214:306-318.
APA Li, Yan.,Zhou, Jian.,Wang, Haijing.,Li, Dazhi.,Jin, Rui.,...&Zhou, Qingguo.(2015).Integrating soil moisture retrieved from L-band microwave radiation into an energy balance model to improve evapotranspiration estimation on the irrigated oases of arid regions in northwest China.AGRICULTURAL AND FOREST METEOROLOGY,214,306-318.
MLA Li, Yan,et al."Integrating soil moisture retrieved from L-band microwave radiation into an energy balance model to improve evapotranspiration estimation on the irrigated oases of arid regions in northwest China".AGRICULTURAL AND FOREST METEOROLOGY 214(2015):306-318.

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来源:寒区旱区环境与工程研究所

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