Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD027268 |
A Framework for Estimating the 30 m Thermal-Infrared Broadband Emissivity From Landsat Surface Reflectance Data | |
Cheng, Jie1,2; Liu, Hao1,2; Liang, Shunlin1,2,3; Nie, Aixiu4; Liu, Qiang4; Guo, Yamin1,2 | |
2017-11-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:21 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | The land surface thermal-infrared broadband emissivity (BBE) is a vital variable for estimating land surface radiation budgets (SRBs). We develop a framework for retrieving the 30 m BBE from Landsat surface reflectance data to estimate SRBs at finer scales and validate coarse resolution data. In the developed framework, the land surface is classified as bare soils and vegetated surfaces to allow different algorithms to be used for the BBE estimation. We propose a downscaling algorithm that uses the empirical relationship between the Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) BBE and Landsat surface reflectance at 90 m to retrieve the 30 m BBE over bare soils. A look-up table (LUT)-based algorithm is proposed for vegetated surfaces. The BBE is interpolated from a LUT that is constructed from the 4SAIL radiative transfer model with inputs of the leaf BBE, the soil background BBE, and the leaf area index (LAI). Ground measurements that were collected at 11 relatively homogeneous sandy sites during three independent field campaigns are used to validate the proposed algorithm over bare soils. The average difference between the retrieved and field-measured BBEs is 0.012. We produce the land surface BBE of China in 2008 by using the developed framework and composited winter and summer seasonal BBE maps. The composited seasonal BBE maps are compared to the seasonal BBE maps derived from the ASTER emissivity product. The bias is within 0.005 over bare soils and ranges from 0.012 to 0.019 over vegetated surfaces. Combined with the validated results in this study and published references, the comparison results demonstrate the good performance of the developed framework. This study provides a new perspective on estimating BBEs from sensors with only a thermal-infrared channel. |
英文关键词 | broadband emissivity radiative transfer model 4SAIL Landsat TM ASTER |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000417195500025 |
WOS关键词 | CANOPY DIRECTIONAL EMISSIVITY ; CYCLOPES GLOBAL PRODUCTS ; TEMPERATURE RETRIEVAL ; SINGLE-CHANNEL ; ASTER TEMPERATURE ; RADIOMETER ASTER ; FIELD VALIDATION ; NET-RADIATION ; ALGORITHM ; VEGETATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32767 |
专题 | 气候变化 |
作者单位 | 1.Beijing Normal Univ & Inst Remote Sensing & Digit, State Key Lab Remote Sensing Sci, Beijing, Peoples R China; 2.Beijing Normal Univ, Fac Geog Sci, Inst Remote Sensing Sci & Engn, Beijing, Peoples R China; 3.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA; 4.Beijing Normal Univ, Coll Global Chang & Earth Syst Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Cheng, Jie,Liu, Hao,Liang, Shunlin,et al. A Framework for Estimating the 30 m Thermal-Infrared Broadband Emissivity From Landsat Surface Reflectance Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(21). |
APA | Cheng, Jie,Liu, Hao,Liang, Shunlin,Nie, Aixiu,Liu, Qiang,&Guo, Yamin.(2017).A Framework for Estimating the 30 m Thermal-Infrared Broadband Emissivity From Landsat Surface Reflectance Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(21). |
MLA | Cheng, Jie,et al."A Framework for Estimating the 30 m Thermal-Infrared Broadband Emissivity From Landsat Surface Reflectance Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.21(2017). |
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