Development and validation of the Landsat-8 surface reflectance products using a MODIS-based per-pixel atmospheric correction method
文献类型：期刊论文
| 作者 | Wang, Yingjie1; Liu, Liangyun1; Hu, Yong1; Li, Donghui1; Li, Zhengqiang1 |
| 刊名 | International Journal of Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 37期号:6页码:1291-1314 |
| 关键词 | RESOURCE LIMITATIONS MODEL GENERAL QUANTITATIVE THEORY ABOVEGROUND BIOMASS CANOPY HEIGHT EQUATIONS OPTIMIZATION ECOSYSTEMS MOUNTAIN DYNAMICS ICESAT |
| 通讯作者 | Liu, Liangyun (liuly@radi.ac.cn) |
| 英文摘要 | Landsat satellites have the longest history of making global-scale Earth observations at medium spatial resolution of any series of satellites and have been widely used in various remote-sensing fields. However, many remote-sensing applications, including large-area or long-term land-cover monitoring, need Landsat reflectance data that have had accurate atmospheric correction carried out. In this research, a MODIS-based per-pixel atmospheric correction procedure was developed and employed to produce the surface reflectance (SR) product. A total of 510 Landsat-8 Operational Land Imager (OLI) scenes covering the whole of China in 2013 were collected and processed. The mean relative differences between the surface and top-of-atmosphere (TOA) reflectance for China, composited and expressed as percentages, were found to be 67, 47, 18, 13, 4, 4, and 7% for Landsat-8 OLI bands 1, 2, 3, 4, 5, 6, and 7, respectively. Then, the accuracy of MODIS atmospheric products was validated using ground-based sun-radiometer observation network data, including Sun/sky-radiometer Observation Network (SONET) and Aerosol Robotic Network (AERONET) data collected from 14 SONET/AERONET stations. The validation results showed that the MODIS atmospheric products are reliable for China, with an R2value of 0.78 and a root mean square error (RMSE) value of 0.12 for aerosols, and an R2value of 0.98 and an RMSE of 0.25 for water vapour. Third, the SR product using our per-pixel atmospheric correction method was evaluated by comparison with the MODIS daily surface reflectance product (MOD09GA) and the United States Geological Survey (USGS) provisional Landsat-8 SR product, with a mean R2of 0.93 and an RMSE of 0.02 for MOD09GA; and with a mean R2of 0.97 and an RMSE of 0.01 for the USGS SR product. Finally, the advantage of our per-pixel atmospheric correction method over the per-scene method was investigated by analysis of the spatial variation of the atmospheric parameters within one Landsat scene (about 1.5 (Formula presented.) 1.5 (Formula presented.)), with a mean standard deviation value of 0.03–0.09 for aerosol. When such aerosol variation was omitted as the per-scene atmospheric correction method, the SR absolute error due to aerosol optical thickness (AOT) spatial variation was about 0.027, 0.018, 0.005, 0.003, 0.002, 0.0007, and 0.003 for the seven reflectance bands of Landsat-8. Therefore, use of Landsat-8 SR products over China with our per-pixel atmospheric correction was proved reliable, and more promising than the per-scene method, especially for the short-wavelength bands. © 2016 Taylor & Francis. |
| 学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20161102097397 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39322]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese Academy of Sciences, Beijing, China 3. Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing, China 4. Chongqing Engineering Research Center of Land Use and Remote-Sense Monitoring, Chongqing, China 5. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Wang, Yingjie,Liu, Liangyun,Hu, Yong,et al. Development and validation of the Landsat-8 surface reflectance products using a MODIS-based per-pixel atmospheric correction method[J]. International Journal of Remote Sensing,2016,37(6):1291-1314. |
| APA | Wang, Yingjie,Liu, Liangyun,Hu, Yong,Li, Donghui,&Li, Zhengqiang.(2016).Development and validation of the Landsat-8 surface reflectance products using a MODIS-based per-pixel atmospheric correction method.International Journal of Remote Sensing,37(6),1291-1314. |
| MLA | Wang, Yingjie,et al."Development and validation of the Landsat-8 surface reflectance products using a MODIS-based per-pixel atmospheric correction method".International Journal of Remote Sensing 37.6(2016):1291-1314. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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