A three-channel algorithm for retrieving night-time land surface temperature from MODIS data under thin cirrus clouds
文献类型：SCI/SSCI论文
| 作者 | Fan X. W.; Tang, B. H.; Wu, H.; Yan, G. J.; Li, Z. L. |
| 发表日期 | 2015 |
| 关键词 | vissr-atmospheric-sounder part ii validation sea profiles product models |
| 英文摘要 | Thin cirrus clouds are dominated by non-spherical ice crystals with an effective emissivity of less than 0.5. Until now, the influences of clouds were not commonly considered in the development of algorithms for retrieving land-surface temperature (LST). However, numerical simulations showed that the influence of thin cirrus clouds could lead to a maximum LST retrieval error of more than 14 K at night if the cirrus optical depth (COD) at 12m was equal to 0.7 (cirrus emissivity equivalent to 0.5). To obtain an accurate estimate of the LST under thin cirrus using satellite infrared data, a nonlinear three-channel LST retrieval algorithm was proposed based on a widely used two-channel algorithm for clear-sky conditions. The variations in the cloud top height, COD, and effective radius of cirrus clouds were considered in this three-channel LST retrieval algorithm. Using Moderate Resolution Imaging Spectroradiometer (MODIS) channels 20, 31, and 32 (centred at 3.8, 11.0, and 12.0m, respectively) and the corresponding land surface emissivities (LSEs), the simulated data showed that this algorithm could obtain LSTs with root mean square errors (RMSEs) of less than 2.8K when the COD at 12m is less than 0.7 and the viewing zenith angle (VZA) is less than 60 degrees. In addition, a sensitivity analysis of the proposed algorithm showed that the total LST errors, including errors from the uncertainties in input parameters and algorithm error, were nearly the same as the algorithm error itself. Some lake surface water temperatures measured in Lake Superior and Lake Erie were used to test the performance of the proposed LST retrieval algorithm. The results showed that the proposed nonlinear three-channel algorithm could be used for estimating LST under thin cirrus with an RMSE of less than 2.8K. |
| 出处 | International Journal of Remote Sensing |
| 卷 | 36 |
| 期 | 19-20 |
| 页 | 4836-4863 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-1161 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38429]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Fan X. W.,Tang, B. H.,Wu, H.,et al. A three-channel algorithm for retrieving night-time land surface temperature from MODIS data under thin cirrus clouds. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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