Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval
文献类型:期刊论文
作者 | Che, Xianghong2,3,4; Feng, Min4; Sexton, Joseph O.4; Channan, Saurabh4; Yang, Yaping1,2; Sun, Qing5 |
刊名 | REMOTE SENSING
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出版日期 | 2017-11-01 |
卷号 | 9期号:11页码:16 |
关键词 | directional reflectance BRDF correction Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A1 Collection 6 |
ISSN号 | 2072-4292 |
DOI | 10.3390/rs9111123 |
通讯作者 | Feng, Min(fengm@umd.edu) |
英文摘要 | Measurements of solar radiation reflected from Earth's surface are the basis for calculating albedo, vegetation indices, and other terrestrial attributes. However, the bi-directional geometry of illumination and viewing (i.e., the Bi-directional Reflectance Distribution Function (BRDF)) impacts reflectance and all variables derived or estimated based on these data. The recently released MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) dataset enables retrieval of directional reflectance at arbitrary solar and viewing angles, potentially increasing precision and comparability of data collected under different illumination and observation geometries. We quantified the ability of MCD43A1 Collection 6 for retrieving directional reflectance and compared the daily Collection 6 retrievals to those of MCD43A1 Collection 5, which are retrieved on an eight-day basis. Correcting MODIS-based estimates of surface reflectance from the illumination and viewing geometry of the Terra satellite (MOD09GA) to that of the MODIS Aqua (MYD09GA) overpass, as well as MCD43A4 Collection 6 and Landsat-5 TM images show that the BRDF correction of MCD43A1 Collection 6 results in greater consistency among datasets, with higher R-2 (0.63-0.955), regression slopes closer to unity (0.718-0.955), lower root mean squared difference (RMSD) (0.422-3.142), and lower mean absolute error (MAE) (0.282-1.735) compared to the Collection 5 data. Smaller levels of noise (observed as high-frequency variability within the time series) in MCD43A1 Collection 6 in comparison to Collection 5 corroborates the improvement of BRDF parameters time series. These results corroborates that the daily MCD43A1 Collection 6 product represents the anisotropy of surface features and results in more precise directional reflectance derivation at any solar and viewing geometry than did the previous Collection 5. |
WOS关键词 | ALBEDO PRODUCT MCD43A ; REMOTE-SENSING DATA ; BIDIRECTIONAL REFLECTANCE ; SURFACE REFLECTANCE ; LAND-SURFACE ; VEGETATION INDEXES ; SATELLITE SENSORS ; TIME-SERIES ; BRDF ; NDVI |
资助项目 | National Science Foundation, Office of Polar Programs, Arctic System Science Program[1604105] |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000416554100038 |
出版者 | MDPI AG |
资助机构 | National Science Foundation, Office of Polar Programs, Arctic System Science Program |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/60962] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Feng, Min |
作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Univ Maryland, Dept Geog Sci, Global Land Cover Facil, College Pk, MD 20742 USA 5.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Che, Xianghong,Feng, Min,Sexton, Joseph O.,et al. Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval[J]. REMOTE SENSING,2017,9(11):16. |
APA | Che, Xianghong,Feng, Min,Sexton, Joseph O.,Channan, Saurabh,Yang, Yaping,&Sun, Qing.(2017).Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval.REMOTE SENSING,9(11),16. |
MLA | Che, Xianghong,et al."Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval".REMOTE SENSING 9.11(2017):16. |
入库方式: OAI收割
来源:地理科学与资源研究所
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