An intercomparison of Landsat land surface temperature retrieval methods under variable atmospheric conditions using in situ skin temperature
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- 作者：Emily Windahl ; ewindahl@ou.edu" class="auth_mail" title="E-mail the corresponding author ; ewindahl@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Kirsten de Beurs kdebeurs@ou.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Land surface temperature ; Precipitable water vapor ; Landsat ; Thermal remote sensing ; Atmospheric correction ; Radiative transfer equation
- 刊名：International Journal of Applied Earth Observation and Geoinformation
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：51
- 期：Complete
- 页码：11-27
- 全文大小：6499 K
文摘
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This study validated three LST retrieval methods for Landsat 5 TM using in situ skin temperature.
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The Mono-Window Algorithm provided the best results across a range of atmospheric conditions.
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The Radiative Transfer Equation performed well for dates with low PWV.
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High PWV decreases the effectiveness of LST retrieval methods relying on PWV for transmittance.
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LST retrieved using the same method under different atmospheric conditions may not be well-suited for change detection.