Intercomparison of AMSR2-and MODIS-Derived Land Surface Temperature Under Clear-Sky Conditions
文献类型：期刊论文
| 作者 | Huang, Cheng2,3; Duan, Si-Bo3; Jiang, Xiao-Guang1,2; Han, Xiao-Jing3; Wu, Hua4 ; Gao, Maofang3; Leng, Pei3; Li, Zhao-Liang3,4
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| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| 出版日期 | 2019-09-01 |
| 卷号 | 12期号:9页码:3286-3294 |
| 关键词 | Advanced Microwave Scanning Radiometer 2 (AMSR2) intercomparison land surface temperature (LST) Moderate Resolution Imaging Spectroradiometer (MODIS) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2019.2935737 |
| 通讯作者 | Duan, Si-Bo(duansibo@caas.cn) |
| 英文摘要 | Land surface temperature (LST) is an important parameter in various fields, including hydrological, meteorological, and agricultural studies. Passive microwave techniques provide a practicable method to retrieve LST under both clear and cloudy conditions. In this study, LST derived from Advanced Microwave Scanning Radiometer 2 (AMSR2) brightness temperature data during nighttime in the period 2015-2016 using a physically-based algorithm was compared with Moderate Resolution Imaging Spectroradiometer (MODIS) LST product MYD11A1 over 16 study sites that represent four different land cover types, i.e., barren/sparsely vegetated, grasslands, croplands, and evergreen broadleaf forest. Compared to MODIS-derived LST, the root-mean-square error (RMSE) of AMSR2-derived LST is 6.0 K and the bias is 4.4 K over all study sites. For barren/sparsely vegetated sites, LST was overestimated by 6.7 K. To eliminate the systematic bias induced by the penetration depth effect of microwave radiation over barren/sparsely vegetated sites, a linear regression between AMSR2- and MODIS-derived LST was applied and the RMSE decreases from approximately 7.8 to 3.5 K. For the other three land cover types, the bias ranges from approximately 1.4 to 4.2 K and the RMSE ranges from approximately 2.1 to 5.9 K. The bias between AMSR2- and MODIS-derived LST is related to vegetation coverage. The value of bias increases with the decrease of normalized difference vegetation index. Furthermore, the RMSE has a strong dependency on precipitable water vapor (PWV). It presents a descending pattern of RMSE with the increase of PWV. |
| WOS关键词 | MONITORING AGRICULTURAL DROUGHT ; MICROWAVE ; RETRIEVAL ; ALGORITHM ; PRODUCTS ; SOIL ; VALIDATION ; RADIATION ; WEATHER ; NDVI |
| 资助项目 | National Natural Science Foundation of China[41871275] ; National Natural Science Foundation of China[41571352] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000489785800011 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/129846]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Duan, Si-Bo |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Agr Sci, Key Lab Agr Remote Sensing, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Cheng,Duan, Si-Bo,Jiang, Xiao-Guang,et al. Intercomparison of AMSR2-and MODIS-Derived Land Surface Temperature Under Clear-Sky Conditions[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(9):3286-3294. |
| APA | Huang, Cheng.,Duan, Si-Bo.,Jiang, Xiao-Guang.,Han, Xiao-Jing.,Wu, Hua.,...&Li, Zhao-Liang.(2019).Intercomparison of AMSR2-and MODIS-Derived Land Surface Temperature Under Clear-Sky Conditions.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,12(9),3286-3294. |
| MLA | Huang, Cheng,et al."Intercomparison of AMSR2-and MODIS-Derived Land Surface Temperature Under Clear-Sky Conditions".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 12.9(2019):3286-3294. |
入库方式： OAI收割
来源：地理科学与资源研究所
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