Landsat-8影像地表温度反演算法对比分析
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P237

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国家自然科学(编号:41371220);陕西省重点研发计划项目(编号:2020ZDLSF06-07)


Comparison of land surface temperature retrieval algorithms from Landsat-8 imagery
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    摘要:

    针对Landsat-8数据地表温度(Land Surface Temperature,LST)反演中单通道算法(Single-Channel Algorithm,SC算法)和劈窗算法(Split-Window Algorithm,SW算法)在不同区域的反演精度的不一致性问题,本文以NOAA地表辐射通量网(Surface Radiation Budget Network,SURFRAD)中不同地表覆盖类型和不同海拔高度的3个站点为验证站点,选取2018年1月1日至2019年6月30日质量较好的37景不同季节的Landsat-8影像,基于站点实测温度,对比分析了Jiménez-Mu?oz等提出的普适性SC算法(Generalized SC Algorithm,GSC算法)与SW算法的地表温度反演精度。结果表明:GSC算法与SW算法的反演精度呈现出一定的季节依赖性。春季与冬季,GSC算法的平均绝对误差(Mean Absolute Error,MAE)在1 K左右,SW算法的MAE高于1 K,GSC算法的均方根误差(Root Mean Square Error,RMSE)较SW算法分别低约0.37 、0.13 K,GSC算法的精度较高。其中,在春季,GSC算法的精度比SW算法精度高约0.53 K;在冬季,GSC算法的精度比SW算法精度高约0.14 K。夏季与秋季,GSC算法与SW算法的MAE都小于2 K,但SW算法的精度较高。其中,在夏季,GSC算法的精度比SW算法精度低约0.35 K;在秋季,GSC算法的精度比SW算法精度低约0.25 K,GSC算法的RMSE较SW算法高约0.24 K。两种算法与实测温度的相关系数分别为0.9907、0.9922,表现出较为强烈的相关性,SW算法相关性更高。

    Abstract:

    Aiming at the inconsistent accuracy of Land Surface Temperature(LST) inversion from Landsat-8 imagery using Single-Channel (SC) Algorithm and Split-Window (SW) Algorithm in different regions, the inversion accuracy of the Generalized Single-Channel (GSC) and SW algorithms proposed by Jiménez-Mu?oz et al. were compared and analyzed based on the in-situ measurements of three NOAA’s Surface Radiation Budget Network (SURFRAD) sites with different land cover types and altitudes, and 37 high quality Landsat-8 imagery from January 1, 2018 to June 30, 2019. The results show that there is a certain seasonal dependence of the inversion accuracy. In spring and winter, the Mean Absolute Error (MAE) of GSC algorithm is about 1 K, and the value of SW algorithm is higher than 1 K. The Root Mean Square Error (RMSE) of GSC algorithm is about 0.37 K and 0.13 K lower than that of SW algorithm, respectively. The accuracy of GSC algorithm is about 0.53 K higher than that of SW algorithm in spring, and about 0.14 K higher in winter. In summer and autumn, the MAE of both algorithms is less than 2 K, but SW algorithm has higher accuracy. Among them, the accuracy of GSC algorithm is about 0.35 K lower than that of SW algorithm in summer, and about 0.25 K lower in autumn. The RMSE of GSC algorithm is about 0.24 K higher than that of SW algorithm in autumn. The correlation coefficients between the two algorithms and the measured LST are 0.9907 and 0.9922 respectively, showing relatively strong correlations, and SW algorithm outperforms GSC.

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朱江山,杨丽萍,白宇兴,等. Landsat-8影像地表温度反演算法对比分析[J]. 科学技术与工程, 2021, 21(12): 4785-4792.
Zhu Jiangshan, Yang Liping, Bai Yuxing, et al. Comparison of land surface temperature retrieval algorithms from Landsat-8 imagery[J]. Science Technology and Engineering,2021,21(12):4785-4792.

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  • 收稿日期:2020-08-14
  • 最后修改日期:2021-02-07
  • 录用日期:2020-12-20
  • 在线发布日期: 2021-05-17
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