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An Artificial Neuron Network With Parameterization Scheme for Estimating Net Surface Shortwave Radiation From Satellite Data Under Clear Sky - Application to Simulated GF-5 Data Set

文献类型：期刊论文

作者Si, Menglin3,4,5; Tang, Bo-Hui2,3,5; Li, Zhao-Liang3,4; Nerry, Francoise4; Zhang, Xia1; Shang, Guofei1
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2021-05-01
卷号59期号:5页码:4262-4272
关键词Artificial neuron network (ANN) Chinese Gaofen-5 (GF-5) net surface shortwave radiation (NSSR) top of atmosphere (TOA) broadband albedo
ISSN号0196-2892
DOI10.1109/TGRS.2020.3009647
通讯作者Tang, Bo-Hui(tangbh@igsnrr.ac.cn) ; Shang, Guofei(shangguofei@hgu.edu.cn)
英文摘要Net surface shortwave radiation (NSSR) is a key parameter that drives the surface material exchange and energy balance. Herein, we propose an improved artificial neuron network (ANN) with parameterized (ANN-P) method to first calculate the albedo at the top of atmosphere (TOA) by considering the surface non-Lambertian effect. Subsequently, the NSSR is estimated based on the relationship between TOA broadband albedo and the Earth's surface-absorbed shortwave radiation using a parameterized method under clear sky. The modeling process is implemented with Chinese Gaofen-5 (GF-5) visible/near-infrared channels data simulated via MODTRAN. For comparison, a previously reported lookup table (LUT) with parameterized (LUT-P) method and an ANN method are also employed. The performances of all these methods are evaluated. In terms of model simulation part, the root-mean-square errors (RMSEs) are 15.01 (17.07), 10.04 (13.67), and 20.39 (29.99) W/m(2) for land, water, and snow/ice surfaces, respectively, for the ANN-P (versus LUT-P) method. Their mean bias errors (MBEs) are within 0.9 W/m(2). With respect to the direct ANN method, it shows the highest accuracy yet relatively large deviation for water surface. Additionally, the sensitivity analysis of water vapor content (WVC) confirms that the ANN-P method is more stable than the LUT-P and ANN methods and is, thereby, recommended for clear-sky NSSR estimation. Finally, the ground validations indicate that the mean RMSEs (MBEs) for the LUT-P, ANN-P, and ANN methods are 49.33 (-3.01), 47.55 (1.75), and 104.24 (-75.72) W/m(2), respectively.
WOS关键词ANGULAR-DISTRIBUTION MODELS ; SOLAR-RADIATION ; ATMOSPHERE RADIATION ; FLUX ESTIMATION ; TOP ; RESOLUTION ; PRODUCTS ; REFLECTANCE ; TEMPERATURE ; ALGORITHM
资助项目National Natural Science Foundation of China[41871244] ; Innovation Project of LREIS[O88RA801YA]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000642096400046
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Innovation Project of LREIS
源URL[http://ir.igsnrr.ac.cn/handle/311030/161600]  
专题中国科学院地理科学与资源研究所
通讯作者Tang, Bo-Hui; Shang, Guofei
作者单位1.Hebei GEO Univ, Coll Land Resources & Urban & Rural Planning, Shijiazhuang 050031, Hebei, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.CNRS Univ Strasbourg, ICube Lab, UMR 7357, F-67412 Illkirch Graffenstaden, France
5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Si, Menglin,Tang, Bo-Hui,Li, Zhao-Liang,et al. An Artificial Neuron Network With Parameterization Scheme for Estimating Net Surface Shortwave Radiation From Satellite Data Under Clear Sky - Application to Simulated GF-5 Data Set[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021,59(5):4262-4272.
APA Si, Menglin,Tang, Bo-Hui,Li, Zhao-Liang,Nerry, Francoise,Zhang, Xia,&Shang, Guofei.(2021).An Artificial Neuron Network With Parameterization Scheme for Estimating Net Surface Shortwave Radiation From Satellite Data Under Clear Sky - Application to Simulated GF-5 Data Set.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(5),4262-4272.
MLA Si, Menglin,et al."An Artificial Neuron Network With Parameterization Scheme for Estimating Net Surface Shortwave Radiation From Satellite Data Under Clear Sky - Application to Simulated GF-5 Data Set".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.5(2021):4262-4272.

入库方式： OAI收割

来源：地理科学与资源研究所

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