New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs
- 影响因子：0.0
- DOI码：10.1080/17538947.2020.1731619
- 发表刊物：International Journal of Digital Earth
- 关键字：Land surface temperature and emissivity; TES algorithm; split-window algorithm; hybrid algorithm
- 摘要：Land surface temperature (LST) retrieval fromthermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable. To overcome this problem, a hybrid algorithm is developed to retrieve LST without atmospheric correction and LSE data input, by combining the split-window (SW) and temperature–emissivity separation (TES) algorithms. The SW algorithm is used to estimate surface-emitting radiance in adjacent TIR bands, and such radiance is applied to the TES algorithm to retrieve LST and LSE. The hybrid algorithm is implemented on five TIR bands of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). Analysis shows that the hybrid algorithm can estimate LST and LSE with an error of 0.5–1.5 K and 0.007–0.020, respectively. Moreover, the LST error of the hybrid algorithm is equivalent to that of the original ASTER TES algorithm, involving 1%–2% uncertainty in atmospheric correction. The hybrid algorithm is validated using ground-measured LST at six sites and ASTER LST products, indicating that the temperature difference between the ASTER TES algorithm and the hybrid algorithm is 1.4 K and about 2.5–3.5 K compared to the ground measurement. Finally, the hybrid algorithm is applied to at two places.
- 论文类型：期刊论文
- 学科门类：理学
- 一级学科：地理学
- 文献类型：J
- 卷号：13
- 期号：12
- 页面范围：1430–1453
- 是否译文：否
- 收录刊物：SCI
- 发布期刊链接：https://www.tandfonline.com/doi/full/10.1080/17538947.2020.1731619
- 第一作者：Huazhong Ren
- 全部作者：Jiaji Dong,Rongyuan Liu,Yitong Zheng,Jinxin Guo,Shanshan Chen,Jing Nie,Yan Zhao
- 发表时间：2020-02-23