Net Surface Shortwave Radiation Retrieval Using Random Forest Method With MODIS/AQUA Data
文献类型：期刊论文
| 作者 | Ying, Wangmin2,3; Wu, Hua2,3,4; Li, Zhao-Liang1,5 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| 出版日期 | 2019-07-01 |
| 卷号 | 12期号:7页码:2252-2259 |
| 关键词 | MODerate resolution atmospheric TRANsmission model (MODTRAN) Moderate Resolution Imaging Spectroradiometer (MODIS)/AQUA net surface shortwave radiation random forest remote sensing |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2019.2905584 |
| 通讯作者 | Wu, Hua(wuhua@igsnrr.ac.cn) |
| 英文摘要 | The net surface shortwave radiation (NSSR) at the Earth's surface drives evapotranspiration, photosynthesis, and other physical and biological processes. The primary objective of this study is to estimate NSSR in all sky conditions by using narrowband data of the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard the AQUA satellite. The random forest (RF) machine learning method for retrieving NSSR was developed with MODerate resolution atmospheric TRANsmission model (MODTRAN 5) simulated data. The bias, root mean square error (RMSE), and R-2 for the training dataset of the model are 0.04 W m(-2), 2.03 W m(-2), and 1.00, respectively; for testing data, these values are 0.53 W m(-2), 5.50 W m(-2), and 1.00, respectively. Note that the proposed method is better than the traditional method (RMSE 7.29 W m(-2)) with MODTRAN data, and the sky conditions (clear and cloudy) do not need to be distinguished in the RF method. Seven in situ measurements of the Surface Radiation (SURFRAD) observation network were used to validate the estimated NSSR with MODIS/AQUA data using the proposed RF method, and the bias, RMSE, and R2 of the comparison are -8.4 W m(-2), 76.8 W m(-2), and 0.91, respectively. Approximately 70% of the absolute difference of all the samples is below 50 W m(-2). Considering its concise process and relatively improved accuracy, both in regard to model development and validation, it can be concluded that the retrieval of NSSR with RF will be an efficient and feasible method in the future. |
| WOS关键词 | ENERGY-BALANCE ; FLUX |
| 资助项目 | National Key R&D Program of China[2018YFB0504800] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030302] ; National Natural Science Foundation of China[41871267] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000480354800024 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/68861]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Hua |
| 作者单位 | 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China 2.Chinese Acad Sci, IGSNRR, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.UCAS, Beijing 100049, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 5.CNRS, UdS, ICube, F-67412 Illkirch Graffenstaden, France |
| 推荐引用方式 GB/T 7714 | Ying, Wangmin,Wu, Hua,Li, Zhao-Liang. Net Surface Shortwave Radiation Retrieval Using Random Forest Method With MODIS/AQUA Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(7):2252-2259. |
| APA | Ying, Wangmin,Wu, Hua,&Li, Zhao-Liang.(2019).Net Surface Shortwave Radiation Retrieval Using Random Forest Method With MODIS/AQUA Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,12(7),2252-2259. |
| MLA | Ying, Wangmin,et al."Net Surface Shortwave Radiation Retrieval Using Random Forest Method With MODIS/AQUA Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 12.7(2019):2252-2259. |
入库方式： OAI收割
来源：地理科学与资源研究所
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