Evaluation of Land Surface Temperature Retrieval from Landsat 8/TIRS Images before and after Stray Light Correction Using the SURFRAD Dataset
| العنوان: | Evaluation of Land Surface Temperature Retrieval from Landsat 8/TIRS Images before and after Stray Light Correction Using the SURFRAD Dataset |
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| المؤلفون: | Jiaji Dong, Huazhong Ren, Yitong Zheng, Jinxin Guo, Shangzong Lu |
| المصدر: | Remote Sensing Volume 12 Issue 6 Pages: 1023 Remote Sensing, Vol 12, Iss 6, p 1023 (2020) |
| بيانات النشر: | Multidisciplinary Digital Publishing Institute, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Landsat 8, Thermal infrared, single-channel algorithm, 010504 meteorology & atmospheric sciences, Mean squared error, Land surface temperature, Stray light, Science, 0211 other engineering and technologies, land surface temperature, 02 engineering and technology, 01 natural sciences, Atmosphere, Homogeneous, split-window algorithm, Radiation budget, stray light correction, Radiance, General Earth and Planetary Sciences, Environmental science, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing |
| الوصف: | Landsat 8/thermal infrared sensor (TIRS) is suffering from the problem of stray light that makes an inaccurate radiance for two thermal infrared (TIR) bands and the latest correction was conducted in 2017. This paper focused on evaluation of land surface temperature (LST) retrieval from Landsat 8 before and after the correction using ground-measured LST from five surface radiation budget network (SURFRAD) sites. Results indicated that the correction increased the band radiance at the top of the atmosphere for low temperature but decreased such radiance for high temperature. The root-mean-square error (RMSE) of LST retrieval decreased by 0.27 K for Band 10 and 0.78 K for Band 11 using the single-channel algorithm. For the site with high temperature, the LST retrieval RMSE of the single-channel algorithm for Band 11 even reduced by 1.4 K. However, the accuracy of two of three split-window algorithms adopted in this paper decreased. After correction, the single-channel algorithm for Band 10 and the linear split-window algorithm had the least RMSE (approximately 2.5 K) among five adopted algorithms. Moreover, besides SURFRAD sites, it is necessary to validate using more robust and homogeneous ground-measured datasets to help solely clarify the effect of the correction on LST retrieval. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2072-4292 |
| DOI: | 10.3390/rs12061023 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eae8e6a67ae8532c456294e382a8480 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....7eae8e6a67ae8532c456294e382a8480 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20724292 |
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| DOI: | 10.3390/rs12061023 |