A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature
文献类型：期刊论文
| 作者 | Yang, Yongmin2,3; Qiu, Jianxiu4; Su, Hongbo1,5; Bai, Qingmei6; Liu, Suhua5,7; Li, Lu5,7; Yu, Yilei8,9; Huang, Yaoxian4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017 |
| 卷号 | 9期号:1页码:25 |
| 关键词 | One-Source Model for Land (OSML) evapotranspiration land surface heat flux land surface temperature SMACEX MUSOEXE |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9010043 |
| 通讯作者 | Qiu, Jianxiu(qiujianxiu@mail.sysu.edu.cn) ; Su, Hongbo(suh@fau.edu) |
| 英文摘要 | The 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. |
| WOS关键词 | ENERGY BALANCE ALGORITHM ; EVAPOTRANSPIRATION ESTIMATION ; REGIONAL EVAPOTRANSPIRATION ; MAPPING EVAPOTRANSPIRATION ; COMPLEX TERRAIN ; AIR-TEMPERATURE ; CLOSURE PROBLEM ; SOIL-MOISTURE ; MODEL ; VEGETATION |
| 资助项目 | National 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] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000395492600043 |
| 出版者 | MDPI AG |
| 资助机构 | National 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/64837]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qiu, Jianxiu; Su, Hongbo |
| 作者单位 | 1.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA 2.State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China 3.China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Minist Water Resources, Beijing 100038, Peoples R China 4.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China 5.Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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