IGSNRR OpenIR
A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature
Yang, Yongmin1,2; Qiu, Jianxiu3; Su, Hongbo4,5; Bai, Qingmei6; Liu, Suhua4,7; Li, Lu4,7; Yu, Yilei8,9; Huang, Yaoxian3
2017
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume9Issue:1Pages:25
Corresponding AuthorQiu, Jianxiu(qiujianxiu@mail.sysu.edu.cn) ; Su, Hongbo(suh@fau.edu)
AbstractThe partitioning of available energy between sensible heat and latent heat is important for precise water resources planning and management in the context of global climate change. Land surface temperature (LST) is a key variable in energy balance process and remotely sensed LST is widely used for estimating surface heat fluxes at regional scale. However, the inequality between LST and aerodynamic surface temperature (T-aero) poses a great challenge for regional heat fluxes estimation in one-source energy balance models. To address this issue, we proposed a One-Source Model for Land (OSML) to estimate regional surface heat fluxes without requirements for empirical extra resistance, roughness parameterization and wind velocity. The proposed OSML employs both conceptual VFC/LST trapezoid model and the electrical analog formula of sensible heat flux (H) to analytically estimate the radiometric-convective resistance (r(ae)) via a quartic equation. To evaluate the performance of OSML, the model was applied to the Soil Moisture-Atmosphere Coupling Experiment (SMACEX) in United States and the Multi-Scale Observation Experiment on Evapotranspiration (MUSOEXE) in China, using remotely sensed retrievals as auxiliary data sets at regional scale. Validated against tower-based surface fluxes observations, the root mean square deviation (RMSD) of H and latent heat flux (LE) from OSML are 34.5 W/m(2) and 46.5 W/m(2) at SMACEX site and 50.1 W/m(2) and 67.0 W/m(2) at MUSOEXE site. The performance of OSML is very comparable to other published studies. In addition, the proposed OSML model demonstrates similar skills of predicting surface heat fluxes in comparison to SEBS (Surface Energy Balance System). Since OSML does not require specification of aerodynamic surface characteristics, roughness parameterization and meteorological conditions with high spatial variation such as wind speed, this proposed method shows high potential for routinely acquisition of latent heat flux estimation over heterogeneous areas.
KeywordOne-Source Model for Land (OSML) evapotranspiration land surface heat flux land surface temperature SMACEX MUSOEXE
DOI10.3390/rs9010043
WOS KeywordENERGY BALANCE ALGORITHM ; EVAPOTRANSPIRATION ESTIMATION ; REGIONAL EVAPOTRANSPIRATION ; MAPPING EVAPOTRANSPIRATION ; COMPLEX TERRAIN ; AIR-TEMPERATURE ; CLOSURE PROBLEM ; SOIL-MOISTURE ; MODEL ; VEGETATION
Indexed BySCI
Language英语
Funding ProjectNational Science Foundation of China[41501415] ; National Science Foundation of China[41501450] ; National Science Foundation of China[41571356] ; National Science Foundation of China[51420105014] ; Natural Science Foundation of Guangdong Province, China[2016A030310154] ; Fundamental Research Funds for the Central Universities[16lgpy06] ; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2015A006] ; IWHR Research & Development Support Program: Study on regional drought monitoring and early warning based on satellite remote sensing and land surface hydrological model ; National High Technology Research and Development Program[2012AA12A309] ; IWHR Research & Development Support Program[JZ0145B612016]
Funding OrganizationNational Science Foundation of China ; Natural Science Foundation of Guangdong Province, China ; Fundamental Research Funds for the Central Universities ; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; IWHR Research & Development Support Program: Study on regional drought monitoring and early warning based on satellite remote sensing and land surface hydrological model ; National High Technology Research and Development Program ; IWHR Research & Development Support Program
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000395492600043
PublisherMDPI AG
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64838
Collection中国科学院地理科学与资源研究所
Corresponding AuthorQiu, Jianxiu; Su, Hongbo
Affiliation1.State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
2.China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Minist Water Resources, Beijing 100038, Peoples R China
3.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
4.Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
5.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA
6.Xian Meteorol Bur, Xian 710016, Peoples R China
7.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
8.Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China
9.Beijing Key Lab Wetland Serv & Restorat, Beijing 100091, Peoples R China
Recommended Citation
GB/T 7714
Yang, Yongmin,Qiu, Jianxiu,Su, Hongbo,et al. A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature[J]. REMOTE SENSING,2017,9(1):25.
APA Yang, Yongmin.,Qiu, Jianxiu.,Su, Hongbo.,Bai, Qingmei.,Liu, Suhua.,...&Huang, Yaoxian.(2017).A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature.REMOTE SENSING,9(1),25.
MLA Yang, Yongmin,et al."A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature".REMOTE SENSING 9.1(2017):25.
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